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Atlassian supports flexible work options (office, remote, or hybrid) and conducts interviews and onboarding virtually as a distributed-first company, hiring in any country where they have a legal entity. They are seeking an exceptional Solutions Engineer to collaborate with the enterprise sales team and regional partners to understand customer needs, strategize, deliver compelling demonstrations, and drive deals while ensuring solutions meet client demands. The role sits within a team that serves 300,000+ customers worldwide, including NASA, IBM, HubSpot, Samsung, and Coca-Cola, focusing on value selling and enterprise solutions that transform outcomes. Atlassian emphasizes a "play as a team" culture and offers high earnings potential from enterprise opportunities in cloud and AI, with employees working with Atlassian, not for Atlassian. Key responsibilities include strategic technical engagement, opportunity identification, technical problem solving, product expertise, value-driven demonstrations, technical sales leadership, sales collaboration, and customer advocacy to influence product improvements.

At Atlassian, employees can choose to work in an office, from home, or in a hybrid arrangement, helping them balance family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. Roles involve driving large, complex projects autonomously from technical design to launch. They tackle complex architecture challenges, and continuously evolve architectural standards, while leading code reviews, documentation, and owning high-risk bug fixes. They partner across engineering teams to deliver company-wide initiatives and mentor junior engineers through pairing and design coaching.

Atlassian is transitioning from a product-led growth model to an enterprise go-to-market motion, with AI powering its platform (Jira, Confluence, Loom, Rovo) as the connective tissue for how teams plan, build, and deliver. The Senior Regional Marketing Manager for India will bring this transformation to life in-market and generate pipeline for sales, collaborating with sales, PMM, demand gen, events, and partner marketing. You will own a regional pipeline target, execute the regional marketing strategy, align with regional sales on target accounts and go-to-market motions, diagnose performance gaps, and drive changes to meet numbers. You will translate regional insights into recommendations for global campaigns, bring the AI/platform narrative to locally resonant proof points and customer stories, and leverage AI tools to inform strategy and accelerate performance. You will influence central teams, be the voice of India within the marketing organization, coordinate across ABM/demand gen/events/partner marketing, manage co-marketing with partners, oversee the regional calendar, measure performance, and adapt global content for local relevance.

Atlassian is at an inflection point, moving from a successful product-led growth model to an enterprise go-to-market on top of its large installed base, with AI accelerating everything and its products becoming an AI-powered platform. The Senior Regional Marketing Manager for India will bring this AI and platform transformation story to market and turn it into sales pipeline, ensuring every action is measured by pipeline outcomes. The role entails owning a regional pipeline target, building and executing the regional marketing strategy with sales leadership, and coordinating with regional teams across sales, PMM, demand gen, events, and partner marketing to generate and accelerate opportunities. Responsibilities include diagnosing performance gaps, translating regional market intelligence into recommendations for global campaigns, creating locally resonant proof points and campaign themes, and leveraging AI tools to inform strategy and speed up campaign development and performance analysis. The position also involves influencing central teams, representing India in planning, coordinating ABM/demand gen/events/partner marketing, driving co-marketing with partners, managing the regional calendar, and measuring/reporting regional performance while adapting global content for local relevance.

Atlassian supports flexible, distributed-first work arrangements with virtual hiring and onboarding across countries. The Senior Enterprise Delivery Manager will guide Atlassian’s largest customers through cloud migrations as the primary strategic advisor, leading delivery and governance and collaborating with cross-functional teams. The role requires business acumen and technical fluency to develop customer cloud strategies and drive adoption of cloud features, including AI, with a focus on data movement and system integration. Responsibilities include end-to-end migration strategy, risk management and remediation, technical architecture around APIs and automation, trusted advisory to senior leadership, delivery excellence, accountability, stakeholder management, escalation, and industry insights. The ideal candidate thrives at the intersection of strategy, data, and execution and stays ahead of trends to propose innovative solutions to business challenges.

The ITSM Analytics group within Atlassian’s Jira Service Management builds the reporting and analytics platform that turns JSM operational data into actionable insight for IT and service teams, a key differentiator in the ITSM market. The team owns JSM’s end-to-end reporting surface, including Custom Metrics, JSM Insights, Operations Reports, Assets Reporting, and the JSM Summary Page. It is a full-stack team spanning frontend dashboards, backend GraphQL APIs, data pipelines, and the reporting data infrastructure, with high ownership across EAP to GA and a focus on performance, scale, and data quality. The role involves leading a charter-defining team building the analytics engine at the heart of Atlassian’s ITSM strategy, with high visibility tied to FY27 JSM growth and a surface ranging from greenfield to scale and deep technical depth. You will grow and shape a multi-pod team, set technical direction for a large data domain, and own outcomes as GA is delivered to enterprise customers.

Atlassian offers flexible work locations (office, remote, or hybrid) and can hire globally where it has a legal entity, enabling better balance for family and personal goals. The Search Platform aims to power trusted cross-product knowledge search and discovery across Atlassian’s products for people and agents. They seek a product-minded ML systems leader, a Principal ML Systems Engineer, with deep applied ML and production infrastructure expertise to advance document understanding and indexing for enterprise search. Responsibilities include setting technical direction for a major ML-powered search data and indexing capability, advancing production ML approaches for document understanding, content representations, embeddings, and index construction and evolution, and owning the ML lifecycle end-to-end. They will partner with Search Quality and product teams on online outcome measurement, design scalable ML and distributed-data systems, create reusable ML and indexing patterns for easy indexing of new sources and content types, and lead difficult cross-team decisions while mentoring others.

At Atlassian, employees can work in an office, from home, or in a hybrid arrangement, and the company hires in any country where it has a legal entity. The Search Platform aims to power trusted, cross-product knowledge search and discovery for people and agents across all of Atlassian’s product and agentic surfaces. They are seeking a Principal Machine Learning Systems Engineer with deep expertise in applied ML and production ML infrastructure. The role will set the technical direction for a major ML-powered search and indexing capability and own the ML lifecycle end-to-end—from problem framing and data/feature strategy to architecture, deployment, monitoring, and continuous improvement. Responsibilities include designing scalable distributed systems, advancing ML approaches for document understanding and embeddings, creating reusable indexing patterns, collaborating with search quality and product teams, and mentoring across partner teams.

At Atlassian, employees can work anywhere—office, home, or a hybrid arrangement—and the company hires in any country where it has a legal entity. As Principal Engineer in Search Platform, you’ll lead the technical vision, architecture, and delivery for planetary-scale data ingestion and indexing powering Atlassian Search and Rovo, across multi-cloud, isolated cloud, compliance, and encryption. You’ll own Enterprise Trust & Compliance, delivering requirements for multi-cloud, FedRAMP, BYOK encryption, and data residency, while simplifying architecture to build a trusted platform. You’ll shape the indexing platform for AI-era workloads by evolving high-throughput, low-latency pipelines to meet AI and agentic retrieval demands, ensuring freshness, context relevance, and scale across billions of events, and you’ll work across ML, Data, Cloud Infra, and product teams. You’ll drive system efficiency at scale through smarter sharding, disaggregated storage, and compute efficiency, and you’ll stay ahead of advances in vector/hybrid indexing and agentic memory to accelerate Atlassian’s roadmap.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where they have a legal entity. As Principal Engineer in Search Platform, you will be a technical leader driving core indexing engines and enterprise-grade trust capabilities powering Atlassian Search and Rovo, leading the vision, architecture, and delivery for planetary-scale data ingestion and indexing while meeting enterprise commitments across multi-cloud, isolated cloud, compliance, and encryption. Responsibilities include leading Enterprise Trust & Compliance—owning the technical strategy and delivery for multi-cloud, isolated cloud, FedRAMP, BYOK encryption, and data residency. You will shape the indexing platform for AI-era workloads by evolving high-throughput, low-latency distributed indexing pipelines to meet retrieval demands for freshness, context relevance, and billions of events, while working across ML, Data, Cloud Infrastructure, and product teams. You will drive system efficiency at scale through smarter sharding, disaggregated storage, and compute efficiency, capitalize on agentic development advances in retrieval architectures, vector/hybrid indexing, and agentic memory patterns, and bring external advances into Atlassian's platform and product roadmap while simplifying architecture and reducing complexity.

Atlassian supports flexible work locations and hires globally where they have a legal entity. The principal engineer role targets an experienced engineer with broad backend expertise who acts as a role model and mentors junior teammates. Key responsibilities include tackling the largest and most complex problems from technical design to launch and delivering solutions used by other teams. You will determine plans of attack on large projects, tackle architecture challenges, apply architectural standards, and lead code reviews, documentation, and high-risk bug fixes. The role also involves setting standards for code reviews, collaborating across engineering teams on company-wide initiatives, transferring knowledge across languages, and mentoring more junior members.

Zendesk seeks a Staff Cloud Developer with strong backend and frontend skills to build scalable AWS cloud applications, focusing on data engineering, API integrations, and identity workflows using serverless technologies, with hands-on Python, JavaScript/Node.js, React, and data pipelines for ingestion, normalization, and enrichment. Responsibilities include developing, testing, and deploying Python-based AWS Lambda functions for serverless data engineering and authentication, building RESTful and GraphQL APIs with API Gateway, and customizing Cognito user pools via Lambda triggers for authentication workflows, MFA, and token management, plus creating responsive React frontends for onboarding and data presentation. Additional duties involve implementing scalable data pipelines via APIs, webhooks, and event streams; collaborating on Infrastructure as Code with Terraform and CloudFormation; participating in CI/CD to automate deployments, ensuring secure code with encryption and audit logging; integrating Amazon Connect for customer engagement; and contributing to Agile processes. Required qualifications include 8+ years of development experience with at least 3 years in AWS serverless and data engineering, strong Python backend and JavaScript (Node.js, React) skills, hands-on experience with AWS services (API Gateway, Lambda, Cognito, DynamoDB, RDS, SQS, EventBridge, S3), Cognito flow customization via Lambda triggers, and IaC with Terraform/CloudFormation and CI/CD. Preferred qualifications cover experience with Amazon Connect, containerization (Docker) and orchestration (ECS/EKS), AWS Developer Associate or similar certification, Agile/DevOps experience, and AI/ML tool familiarity; location constraints specify Zendesk can hire only candidates physically located in Karnataka or Maharashtra (India), with a hybrid work model and assurances about AI screening and accommodations.

GitLab is an intelligent DevSecOps platform used by more than 50 million registered users and trusted by over half of the Fortune 100, with AI embedded as a core productivity multiplier. The Senior Engineering Manager, Continuous Deployment will build and lead a globally distributed team focused on Continuous Deployment, delivering an engine that reconciles live state, coordinates durable workflows, and supports AI-native governance. You’ll hire, onboard, and develop engineers; align technical direction with product and business goals; ensure reliable, secure, maintainable, and high-performance delivery; and promote AI use in daily workflows, including incident management participation. Candidates should have experience managing engineering teams, distributed systems with state persistence and replay, release orchestration and deployment automation at scale, Kubernetes/GitOps, policy-based governance, and remote-first collaboration. GitLab offers flexible benefits, equity, growth funds, parental leave, and is an equal opportunity employer with inclusive policies; roles are remote with location-based eligibility and recruitment privacy is observed.

GitLab is an AI-enabled orchestration platform for DevSecOps that aims to boost developer productivity, operational efficiency, and security, trusted by over 50 million users and more than half of the Fortune 100, with AI embedded as a core productivity multiplier. The Staff Software Engineer role focuses on the data layer for vulnerability and dependency management and on moving GitLab away from a monolith toward modular services, designing systems to ingest, store, index, and query security reports using PostgreSQL and integrating with key third-party systems. You’ll lead large technical deliverables from concept to delivery, shape technical and product roadmaps, work hands-on with Ruby on Rails and newer services in Go or Rust, and collaborate with product, design, frontend, and engineering partners while applying a security mindset. Required experience includes leading complex backend projects, strong PostgreSQL and data-systems skills, proficiency with Ruby on Rails and Go or Python, comfort with large monoliths and cross-language services, and the ability to influence delivery and work with security tooling; transferable AI-friendly experience is welcomed. The Vulnerability Management team is distributed across the UK, Poland, the Netherlands, and India, with remote roles and location-based eligibility, and GitLab offers generous benefits, growth opportunities, and an inclusive, equal-opportunity workplace that accommodates diverse needs.

GitLab is an AI-enabled intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, with more than 50 million registered users and substantial Fortune 100 adoption. The company embeds AI as a core productivity multiplier and expects all team members to incorporate AI into daily workflows, while fostering a high-performance, inclusive culture. The role is a Staff Backend Engineer on the Fulfillment Workflow Monitoring (Catch All) team, a greenfield initiative within the Observability, Monitoring, and Integrations group in Monetization, building telemetry, detection, and reconciliation tooling across CustomersDot, Salesforce, and Zuora before they affect revenue or customer experience. Responsibilities include designing, building, and operating observability for the Monetization stack, implementing automated anomaly detection, defining SLIs/SLAs, writing runbooks, participating in incident response, and applying AI/ML to predict issues and accelerate resolution, all while collaborating with Product, Finance, Support, and other partners. Required skills include Ruby on Rails experience (including building apps like CustomersDot), site reliability/observability expertise with Prometheus, Grafana, and OpenTelemetry, familiarity with ClickHouse and change data capture pipelines, and the role is remote with global hiring and a strong commitment to equal opportunity and accommodations.

GitLab is an intelligent orchestration platform for DevSecOps designed to boost developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, trusted by over 50 million users and many Fortune 100 companies, with AI embedded as a core productivity multiplier across all teams. The role is a Staff Security Engineer in the Infrastructure Security Team within Product Security, serving as a technical lead across GitLab’s SaaS platforms (e.g., GitLab Dedicated, Cells) and Self-Managed offerings, defining the security direction and enabling cross-team collaboration. Responsibilities include setting architectural patterns and foundational security automation, leading comprehensive security reviews and threat modeling, guiding AI-assisted security engineering, and translating architectural tradeoffs into clear decisions for engineers and senior leadership while mentoring staff. Requirements include expert knowledge of cloud infrastructure security (AWS/GCP/Azure), Kubernetes, multiple languages (Go, Python, Ruby), experience with Infrastructure-as-Code security (Terraform, Ansible, CloudFormation) and policy-as-code, hands-on experience applying AI to security workflows, and familiarity with certifications (FedRAMP, ISO 27001, SOC 2, PCI-DSS); GitLab notes they welcome candidates with varying levels of experience and encourage applying even if not meeting every requirement. GitLab offers remote worldwide roles with location-based eligibility, flexible PTO, ERGs, equity and an Employee Stock Purchase Plan, a Growth and Development Fund, parental leave, and a strong commitment to equal opportunity and an inclusive workplace, supported by a Recruitment Privacy Policy.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, trusted by 50M+ registered users and more than 50% of the Fortune 100. The company embeds AI as a core productivity multiplier, expecting all team members to incorporate AI into daily workflows to drive efficiency, innovation, and impact, within a high-performance, values-driven culture where every voice is valued. The Staff Backend Engineer role focuses on shaping the Software Supply Chain Security Add-On, defining architecture for package policy enforcement, provenance generation, artifact signing, and malicious package detection, and leading design and implementation of SLSA Levels 2 and 3 in GitLab CI/CD with Sigstore integrations. Required qualifications include strong Ruby on Rails backend experience in high-scale production, Go experience, architectural leadership across multiple systems, async documentation skills, a solid security mindset, and familiarity with software supply chain concepts. The SSCS Add-On team operates within GitLab’s Software Supply Chain Security stage, offering remote work with comprehensive benefits and a strong commitment to equality and inclusion, along with location-based hiring guidelines and a recruitment privacy policy.

GitLab is the intelligent DevSecOps orchestration platform that emphasizes AI-enabled productivity and a high-performance, inclusive culture. As a Staff Backend Engineer on the Events & Messaging Platform team, you'll consolidate Sidekiq and the dedicated event bus into a single durable, scalable multi-tenant messaging and event-processing platform that powers GitLab's products and integrations. You'll lead technical execution on the CD platform, decompose complex designs into deliverable work, maintain the technical bar through code reviews and mentorship, and participate in cross-functional discussions and on-call rotations. The role requires deep Go backend experience in high-scale production, expertise in distributed systems and durable workflow execution, Docker/Kubernetes at production scale, GitOps, policy-based governance, and the ability to translate architecture into executable plans, plus experience incorporating AI tools into engineering workflows and strong async communication. Nice-to-haves include AI engineering or AI-feature experience and Ruby on Rails; the position is remote with global hiring, and GitLab is an equal opportunity employer with accommodations available.

GitLab describes itself as an intelligent orchestration platform for DevSecOps that boosts developer productivity, security, and digital transformation, with AI embedded in daily workflows and a high-performance, inclusive culture. The Staff Engineer role on the Delivery - Upgrades team guides the technical direction for GitLab’s self-managed deployments, collaborating with SRE, Release, Security, and Development to enable zero-downtime upgrades and reduce upgrade friction. Key duties include defining architecture for cloud-native, self-managed deployments, maintaining Kubernetes Operators and Helm charts, and building automation for migrations, rollbacks, and upgrade orchestration while enhancing observability and resilience. Qualifications emphasize strong production Go experience (Rails familiarity helpful), hands-on Kubernetes experience with Operators and Helm, knowledge of cloud-native tooling and databases (notably PostgreSQL), Linux operations, and the ability to influence across teams, with an openness to open-source deployment tooling. The team, Delivery - Upgrades, focuses on scalable, zero-downtime upgrades for self-managed GitLab and works remotely with globally distributed partners; GitLab offers comprehensive benefits, equal-opportunity policies, and location-based eligibility with accommodations for candidates from diverse backgrounds.

GitLab positions itself as an intelligent DevSecOps orchestration platform that increases developer productivity, operational efficiency, security and compliance, and accelerates digital transformation, with over 50 million registered users and a significant share of Fortune 100 companies relying on it, while embedding AI as a core productivity multiplier in daily workflows and sustaining a high-performance, inclusive culture. The Staff Backend Engineer – Database Change Management role focuses on replacing GitLab's sequential database migration system with a dependency-graph model to enable faster and safer upgrades for GitLab.com and self-managed deployments, and leads the design and delivery of a migration validation and test framework across about 1,000 tables. The role also serves as the senior technical anchor for the India-based engineering group, owning architecture decisions at Staff level and coordinating with distributed teams across regions to support multiple deployment methods. Responsibilities include driving the end-to-end design and production rollout of the migration validation framework, enabling safe ordering and low-downtime upgrades through three-phase execution, mentoring engineers, documenting decisions asynchronously, reviewing migrations for safety and backward compatibility, and representing the team in technical reviews. Requirements include deep Ruby on Rails experience with migrations or comparable frameworks, production PostgreSQL experience with large-table schema changes and locking behavior, a track record delivering and adopting large systems end-to-end, strong written communication and the ability to work independently in distributed environments; GitLab also emphasizes equal opportunity, remote global hiring with location-based eligibility, accommodations, and welcomes candidates with varying levels of experience.

GitLab is the intelligent orchestration platform for DevSecOps trusted by more than 50 million users and more than 50% of the Fortune 100, and it treats AI as a core productivity multiplier across the organization. The same principles built into our products are reflected in how our team works, with AI integrated into daily workflows to drive efficiency, innovation, and impact. The Support Engineer role sits at the intersection of Support and Engineering, helping customers solve edge-case challenges by digging into Linux systems, logs, and our Ruby on Rails codebase to troubleshoot and contribute fixes, while also improving documentation and shaping the roadmap through cross-team collaboration. Responsibilities include serving as an escalation point for difficult interactions, mentoring teammates, driving improvements to support practices and product quality, collaborating with Product, Development, Infrastructure, Customer Success, and Sales, participating in on-call rotations, and helping with hiring, with example projects like an Omnibus install checker, server-state capture tool, log-to-table tool, and a ChatOps feature. The role requires Linux administration, scripting, Git, and CI/CD experience in production environments, familiarity with DevOps practices and technologies such as Kubernetes and serverless, and the ability to work in a globally distributed, remote team with benefits including flexible PTO, equity, a Growth and Development Fund, and parental leave, while upholding GitLab’s equal-opportunity policies and location-based eligibility, privacy, and accommodation policies.

GitLab is an intelligent DevSecOps orchestration platform that helps organizations boost developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, trusted by over 50 million users and more than half of the Fortune 100, with AI embedded as a core productivity multiplier. The Senior Solutions Architect role on GitLab's India team acts as a trusted advisor to prospects, customers, and partners across India, supporting Commercial and Enterprise segments in the Southern Region with emphasis on GCCs, Digital Native companies, and startups. You’ll lead technical discovery, demonstrations, and validation, own the technical evaluation process (solution design, proofs of value, workshops, tenders, audits, value stream assessments), and partner with Account Executives and regional sales to shape strategies and support partner-led engagements. You’ll advise on modern software development, CI/CD, security, and cloud practices, build trusted relationships with technical practitioners and business leaders, gather customer feedback for Product Management/Engineering/Marketing, and help customers become GitLab advocates. The team is part of GitLab’s Sales organization, operates remotely with global hiring and location-based eligibility, and offers benefits such as flexible PTO, employee equity plans, growth opportunities, and a strong commitment to equal opportunity and accommodating disabilities.

GitLab presents itself as the intelligent orchestration platform for DevSecOps that boosts developer productivity, operational efficiency, security, and digital transformation, trusted by over 50 million users and a majority of the Fortune 100, with AI embedded as a core productivity multiplier and a culture that values every voice. The role is a senior Trust and Safety engineer focused on engineering security improvements and building the tools to detect and prevent abuse on GitLab’s SaaS platforms, including predictive abuse patterns and anomaly detection. You’ll maintain core abuse prevention systems, develop new detection rules for evolving abuse campaigns, become a core maintainer of the in-house Ruby on Rails abuse platform, and advance AI-enabled mitigation and automation while documenting procedures. Requirements include strong Ruby/Rails development skills, experience with large distributed cloud deployments (preferably GCP/AWS), the ability to work remotely with a results-driven mindset, and an interest in security incidents and automation-first defenses; formal security engineering experience isn’t strictly required, and AI-native development and code review experience is a plus. The role offers a United States base salary range of $139,200–$196,000 plus comprehensive benefits and equity options, with GitLab supporting remote global hires and a firm commitment to equal opportunity and inclusive policies.

GitLab is an intelligent orchestration platform for DevSecOps trusted by more than 50% of the Fortune 100, with a strong AI-driven focus and a high-performance, values-based culture. The Senior Software Engineer will build autonomous, agentic software development lifecycle features for GitLab’s engineering teams, lead technical execution, and mentor other engineers while collaborating with Product and AI/ML partners. Responsibilities include developing AI agents to automate tasks like merge request authoring, test generation, and security remediation, designing safe orchestration patterns, and measuring performance, latency, and correctness of AI-driven features. Requirements include production-grade software experience, familiarity with AI/ML APIs or agentic frameworks, proficiency in Ruby/Go/Python, distributed systems, CI/CD, testing, observability, and cross-functional collaboration and mentoring ability. GitLab offers remote, worldwide roles, comprehensive benefits, equity plans, and a strong commitment to equal opportunity, diversity, and accommodations, along with recruitment privacy and location guidelines.

GitLab presents itself as an intelligent DevSecOps orchestration platform that boosts developer productivity, security, and digital transformation, trusted by over 50 million users and many Fortune 100 companies, with a culture that embraces AI and values every voice. The Senior Software Engineer role focuses on GitLab Security’s data layer for vulnerability and dependency management and on moving toward modular services beyond the monolith, including ingestion, storage, indexing, querying, and integrations with key third-party systems. You’ll own significant components from design to delivery, build backend systems using Ruby on Rails and PostgreSQL (with Go or Rust for newer services when appropriate), and deepen PostgreSQL expertise while collaborating with product, design, frontend, and engineering partners. Required qualifications include production backend experience at scale with clear ownership, hands-on PostgreSQL proficiency, experience with Ruby on Rails (and possibly Go or Python), the ability to guide peers, security tooling experience, and fluency with AI tools to improve delivery. The team is distributed across the United Kingdom, Poland, the Netherlands, and India, working remotely with autonomy; GitLab offers flexible benefits, equity, growth funding, parental leave, and a strong equal-opportunity policy, and encourages candidates from varied backgrounds to apply.

- GitLab is an intelligent orchestration platform for DevSecOps used by 50M+ registered users and over half of the Fortune 100, and it integrates AI as a core productivity multiplier across the company. - The Observability, Monitoring, and Integrations team within Monetization is launching a greenfield Fulfillment Workflow Monitoring team to build end-to-end telemetry, detection, and reconciliation tooling that flags billing, data, and event anomalies across CustomersDot, Salesforce, and Zuora before they impact revenue or the customer experience. - The role is open at Senior Software Engineer or Staff Software Engineer levels and involves designing, building, and operating metrics, logs, and traces; implementing automated anomaly detection; defining SLOs/SLIs; developing incident runbooks; and using AI/ML to predict and resolve issues while collaborating with cross-functional partners. - Qualifications include Ruby on Rails expertise, a background in site reliability or observability with tools like Prometheus, Grafana, and OpenTelemetry, experience with anomaly detection and data stores such as ClickHouse, and familiarity with billing/financial systems, plus ownership of projects end-to-end; Python and Zuora/Salesforce experience are a plus. - GitLab emphasizes remote work, flexible benefits, equity, growth, and equal opportunity, inviting applicants who may not meet every qualification, with location guidelines and aRecruitment Privacy Policy in place.

GitLab is the intelligent orchestration platform for DevSecOps that helps organizations increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, trusted by over 50 million users and more than 50% of the Fortune 100. The company embeds AI as a core productivity multiplier and expects all team members to incorporate AI into daily workflows, fostering a high-performance culture where every voice is valued. The Senior Release Engineer role focuses on designing, standardizing, and operating reliable enterprise delivery, establishing scalable CI/CD practices for platforms like Salesforce and Zuora, and improving release governance, tooling, and observability. Requirements include 7+ years of release engineering/DevOps, hands-on GitLab CI/CD experience in production, Python scripting, and mandatory daily use of AI-assisted tools like Claude or Duo Agent Platform for development and automation, with strong collaboration across security, compliance, and business teams. GitLab offers remote worldwide roles, a broad benefits package, growth opportunities, and an explicit equal opportunity, non-discrimination policy with accommodations available.

GitLab is an AI-enabled DevSecOps platform used by over 50 million users and more than half of the Fortune 100, emphasizing AI-driven productivity, security, and digital transformation. The Senior Manager, Internal Audit focused on Audit Automation & Technology Risk will base in Bangalore, lead audit automation/innovation, India hub people/operations, and support the technology risk audit program, with regular overlap with US time zones for real-time collaboration. Key responsibilities include designing AI-assisted workflows and data analytics across audit planning and execution, managing the Bangalore co-source SOX testing, and building relationships with India-based engineering and IT leaders to inform audit plans and priorities, while overseeing delivery and mentoring the India-based team. Requirements include technology audit and risk management experience, SOX controls expertise, proficiency with SQL/Python or similar tools for analytics, curiosity about AI/automation, knowledge of DevSecOps/CI/CD, and a bachelor’s degree plus professional certifications such as CPA, CIA, CISA, CISSP, CISM, or CRISC. GitLab emphasizes a remote-friendly, inclusive culture with benefits like flexible PTO, equity/ESPP, growth funds, parental leave, and accommodations, along with country-based hiring guidelines and a strong commitment to equal opportunity.

GitLab is the intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, with more than 50 million registered users and many Fortune 100 companies trusting it to ship better, more secure software faster. The company highlights AI as a core productivity multiplier and expects all team members to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. They are looking for an experienced Product Engineer with full-stack experience and a current backend focus to shape user needs, collaborate with the product manager and users, and contribute to the backend architecture powering the work items platform, including integrating AI features with GitLab Duo and providing access to Claude Code and other agentic tools. Responsibilities include collaborating with Product to define requirements, designing and implementing backend features (GraphQL/REST APIs and real-time subscriptions), optimizing PostgreSQL performance at scale (with denormalization and partitioning as needed), and supporting real-time updates, testing, on-call incident response, and developer experience improvements. Ideal candidates bring a strong product mindset, leadership experience, Ruby on Rails proficiency, PostgreSQL performance expertise, API design skills, experience with large automated test suites, and familiarity with AI integration or Elasticsearch/ClickHouse, and the role is within GitLab's Planning Views team in the Plan stage, a small asynchronous team across Australia, India, and Europe with remote roles and a comprehensive benefits package plus a commitment to equal opportunity.

GitLab is an intelligent orchestration platform for DevSecOps that aims to boost developer productivity, operational efficiency, security and compliance, and digital transformation, with more than 50 million registered users and more than 50% of the Fortune 100 trusting GitLab to ship better, more secure software faster, while AI is embedded as a core productivity multiplier across the team. The Observability, Monitoring, and Integrations team sits in GitLab's Monetization section, and as a Senior Backend Engineer on the Monetization Platform Integrations team you’ll design, build, and maintain integrations connecting CustomersDot and Monetization services to enterprise apps such as Salesforce and Workato. You will own REST and GraphQL API contracts, protect data integrity across systems, build observable, fault-tolerant integration workflows with retries and clear error handling, and ensure cross-system data reconciliation and reliability, working with monitoring and anomaly detection to catch failures early. Required qualifications include production experience with Ruby on Rails and PostgreSQL, experience integrating with third-party or enterprise APIs and designing versioned REST/GraphQL contracts, familiarity with event-driven patterns like webhooks and message-based streaming, data governance concepts, and a proven ability to own a project from concept to production in a remote, largely asynchronous environment; experience with NATS JetStream or billing systems like Zuora or Salesforce is a plus. GitLab emphasizes a strong asynchronous culture, remote-first hiring with location-based eligibility, cross-team collaboration with Sales, Finance, IT, and Support, comprehensive benefits, and an inclusive, equal-opportunity policy that welcomes applicants even if they don’t meet every requirement.

GitLab presents itself as an intelligent orchestration platform for DevSecOps that helps organizations increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. With over 50 million registered users and trust from more than half of the Fortune 100, GitLab embeds AI as a core productivity multiplier and expects employees to incorporate AI into their daily workflows. The culture is described as high-performance, values-driven, and knowledge-sharing, focused on accelerating careers, valuing every voice, and collaborating to solve complex problems. The Senior Backend Engineer role involves designing and shipping complex backend features across cross-functional boundaries, setting standards for quality and reliability, mentoring engineers, participating in incident response, and integrating agentic AI into production work. GitLab seeks candidates with deep backend expertise and agentic AI experience, but welcomes applicants who don’t meet every requirement, and it supports remote-first work with comprehensive benefits, equity, growth opportunities, and a strong commitment to equal opportunity and non-discrimination.

GitLab is the intelligent orchestration platform for DevSecOps that aims to boost developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, trusted by millions and many Fortune 100 companies, with AI integrated as a core productivity multiplier. The Integration Engineer for UiPath will design, develop, and implement enterprise-level RPA solutions to automate manual processes, collaborating with business stakeholders to align automation with company goals and delivering end-to-end automation with production support. Responsibilities include creating reusable RPA building blocks, developing comprehensive documentation, communicating technical details to diverse stakeholders, coordinating with the Enterprise Apps team for scalable tests and release plans, and continuously optimizing solutions. Requirements include 3-6 years of UiPath experience, strong proficiency with UiPath Studio/Robots/Orchestrator, extensive RPA experience across enterprise systems (Salesforce, NetSuite, Zuora, Workday, etc.), familiarity with Agentic AI capabilities, Agile/DevOps, SQL/Python, security protocols, and various integration patterns; UiPath certifications are highly preferred. GitLab offers remote, worldwide employment with benefits, growth opportunities, and an inclusive, equal-opportunity workplace; they welcome applicants with varying levels of experience and provide accommodations and recruitment privacy considerations.

GitLab is an AI-powered, all-remote DevSecOps platform trusted by over 50 million users and many Fortune 100 companies, with a culture that emphasizes AI-enabled productivity and collaborative values. The role is Technical Program Manager on GitLab's all-remote R&D PMO, responsible for end-to-end programs central to the AI-powered DevSecOps strategy, including initiatives like the GitLab Duo Agent Platform and enterprise tooling. You will lead cross-functional programs across product, engineering, data, and security, convert strategic vision into roadmaps, coordinate distributed teams with asynchronous communication, manage risks, and maintain stakeholder alignment while promoting GitLab's values. Applicants should have proven experience delivering complex technical programs at SaaS/cloud/DevOps companies, the ability to define strategy in ambiguity, strong cross-functional and executive communication skills, and a track record of influencing at division-wide or company-wide scale; diverse backgrounds are welcome. The team is all-remote, spanning North America and Europe, with benefits like flexible PTO, equity, growth funds, parental leave, and a commitment to equal opportunity and inclusion; location eligibility and recruitment privacy policies apply.

GitLab is an intelligent DevSecOps orchestration platform that increases developer productivity, operational efficiency, and speed to secure software, trusted by millions of users and many Fortune 100 companies, and it embeds AI as a core productivity multiplier. As a Support Engineer, you’ll be embedded in the Engineering department, bridging Support and Engineering to troubleshoot complex issues in diverse environments by digging into Linux systems and the Ruby on Rails codebase and contributing fixes via merge requests. You’ll collaborate across Product, Development, Infrastructure, Customer Success, and Sales to shape roadmap, improve documentation and support processes, and in your first year build deep expertise across self-managed and GitLab.com deployments, including projects like automated Omnibus checks, server-state captures, log visualization tools, and ChatOps for account identification. Responsibilities include supporting self-managed and SaaS customers through Zendesk, tickets, email, and video calls; participating in on-call rotations; creating reusable documentation; pairing with teammates; and helping hire and grow the Support team. Qualifications include strong Linux administration (LFCE/RHCE level), scripting with Ruby or Bash, experience with Git and CI/CD, knowledge of Ruby on Rails, familiarity with Kubernetes and Serverless, and the ability to explain technical topics to varied audiences; the team is globally distributed, roles are remote with location-based eligibility, and GitLab is an equal opportunity employer that values accessibility and diversity.

GitLab is an intelligent orchestration platform for DevSecOps used by over 50 million registered users and more than half of the Fortune 100, and it embeds AI as a core productivity multiplier across all roles to drive efficiency, innovation, and impact. Its culture is described as high-performance, inclusive, and values-driven where careers accelerate, every voice is valued, and continuous knowledge exchange helps team members reach their full potential. The Intermediate Backend Engineer role focuses on GitLab's database upgrade experience, building Ruby on Rails and PostgreSQL systems to apply database schema changes safely during upgrades for GitLab.com and self-managed customers in a fully remote, asynchronous environment. Responsibilities include developing and maintaining testing frameworks for validating schema changes before production, implementing checks to catch problems before upgrades run, reviewing migrations for safety and backward compatibility, and documenting procedures while collaborating across operations, packaging, QA, and distribution teams. GitLab offers benefits including flexible PTO, equity, and parental leave, supports growth and inclusion, and maintains equal opportunity and accommodation policies, with location-based eligibility considerations handled by Talent Acquisition and privacy policies as part of the recruitment process.

GitLab is the intelligent orchestration platform for DevSecOps that helps organizations increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, trusted by millions of users and many Fortune 100 companies; AI is a core productivity multiplier embedded in the company culture. GitLab describes a high-performance, values-driven culture where careers accelerate, innovation flourishes, and every voice is valued, with continuous knowledge exchange and collaboration with industry leaders to solve complex problems. The Intermediate Backend Engineer role involves taking backend features from clarification through delivery and production follow-up, partnering with Product Management, Frontend, Infrastructure, and Security to ensure quality, security, performance, and maintainability, and thriving in a remote, asynchronous environment with minimal guidance. Responsibilities include designing, implementing, testing, and shipping backend features in Ruby/Rails, Go, or other modern languages; designing and maintaining APIs, background jobs, data models, migrations, and observing and securing code; testing coverage and code reviews; and participating in on-call/operational support while leveraging AI productively. The role requires production backend experience, adaptability to multiple languages, feature ownership, practical judgment on security and reliability, clear written communication, and AI fluency; preferred experience includes Go services, Kubernetes, Docker, PostgreSQL, observability, and modular architecture; GitLab offers remote, globally available benefits and equal opportunity employment, with location-based eligibility considerations and a Recruitment Privacy Policy.

GitLab presents itself as an intelligent, AI-enabled orchestration platform for DevSecOps, trusted by over 50 million users and more than half of the Fortune 100 to ship higher-quality, more secure software faster. The Engineering Manager role leads GitLab’s Software Supply Chain Security Add-On backend team, guiding work on Dependency Firewall, Build Provenance, Malicious Packages detection, and Artifact Signing, and delivering general availability milestones in collaboration with the Staff Backend Engineer and Product Manager. Responsibilities include developing the team (hiring, 1:1s, performance reviews), ensuring predictable delivery, monitoring cycle time and test coverage, and coordinating quarterly planning and cross-functional communication with stage leadership, Product, Finance, and other partners. Requirements include 3+ years of leading backend product engineering teams in security, DevOps, or platform engineering, the ability to hire and grow engineers, architectural credibility in areas like package registries and CI/CD security, experience delivering multi-quarter roadmaps, asynchronous communication, and familiarity with supply chain security concepts such as SLSA and Sigstore. The role sits within the distributed SSCS Add-On team of GitLab’s Software Supply Chain Security stage, with remote work and comprehensive benefits, and GitLab emphasizes equal opportunity and inclusion while inviting applicants who may not meet every qualification and noting location-based guidelines.

GitLab presents itself as an intelligent DevSecOps orchestration platform that boosts developer productivity, operational efficiency, security, and digital transformation, with AI embedded in daily workflows and broad trust from millions of users including many Fortune 100 companies. The role is Manager, Engineering, Nonlinear Productivity (Friction Elimination & Solutions), responsible for identifying recurring friction in GitLab’s software development lifecycle and code-generation workflows, evaluating build, buy, or adapt options, and prototypeing durable fixes that could become customer-facing products. You’ll build a data-backed view of where improvements have the most leverage, test solutions through prototypes, drive internal adoption, and partner with product to productize successful interventions, while documenting learnings and reporting impact with key metrics. Qualifications include the ability to use GitLab, a track record of shipping developer-productivity fixes, comfort operating with ambiguity, people management experience, technical depth to prototype solutions, and product judgment to assess internal tools as potential products, with familiarity with agentic or AI-assisted development tooling. The Nonlinear Productivity team supports internal engineering improvements, with a career ladder to Senior Manager, remote worldwide hiring options, comprehensive benefits, and a strong commitment to equal opportunity and accommodation.

GitLab is an intelligent orchestration platform for DevSecOps that aims to boost developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, trusted by 50M+ users and Fortune 100 companies, with AI treated as a core productivity multiplier. The advertised role, Manager, Engineering, Git & Gitaly Operations, leads the team responsible for the Git infrastructure layer—the open source Git project itself, Gitaly, GitLab’s Git storage and RPC layer, and related services—across Self-Managed, GitLab Dedicated, and SaaS deployments. Responsibilities include building and developing a team with deep Git/Gitaly platform expertise, owning production reliability across all deployments, driving incident management and postmortems, and designing cross-model service models and cloud-agnostic architectures. The role requires familiarity with GitLab’s deployment models, hands-on Git internals knowledge, strong distributed systems fundamentals, experience operating production infrastructure across multiple deployment models, elastic storage/compute design, and people management; experience with Gitaly, libgit2, or JGit is advantageous. The Git & Gitaly Operations team focuses on solving complex reliability and scaling challenges in Git and Gitaly, and GitLab is an equal opportunity employer offering remote global roles, flexible benefits, and a comprehensive package to support health and growth.

GitLab is an intelligent orchestration platform for DevSecOps used by more than 50 million registered users and over half of the Fortune 100, with AI treated as a core productivity multiplier across the organization. The company is seeking a technical engineering manager to lead a team that builds and operates large-scale distributed systems, ensuring 3+ nines availability for dedicated infrastructure while prioritizing security and scalability. The role requires providing clear direction, reducing toil through automation, fostering DevOps ownership, mentoring team members, modeling incident management best practices, and using data-driven prioritization and AI to communicate with stakeholders. Candidates should have a proven track record of owning large-scale distributed services, experience driving operational excellence with 99.99% SLOs, and the ability to lead distributed or remote teams while leveraging AI tooling to boost productivity. The role sits within the Enterprise Platform’s Dedicated team, which operates GitLab Dedicated (a single-tenant SaaS offering with data isolation and private networking), and GitLab emphasizes global remote hiring, comprehensive benefits, and a strong equal-opportunity policy with location-based eligibility and recruitment privacy considerations.

GitLab is an intelligent DevSecOps orchestration platform that aims to boost developer productivity, efficiency, security, and digital transformation, trusted by millions and Fortune 100 companies, with AI deeply embedded into daily workflows. The role of Director, Support Engineering for the Bengaluru Center of Support entails building and managing an India-based regional hub, reporting to the VP of Support Engineering, and overseeing organizational design, headcount growth, and operations across APAC, EMEA, and the Americas. Key responsibilities include establishing management infrastructure, hiring and retention in partnership with Talent Acquisition, developing managers and engineers, meeting service-level targets and customer satisfaction, and implementing escalation workflows and AI tooling. Required qualifications include experience leading technical support or similar customer-facing functions, scaling a global delivery hub, knowledge of enterprise SaaS support models and metrics, experience in distributed async/sync work, and familiarity with DevSecOps, Kubernetes, and relevant support tools, with GitLab experience helpful. The team is globally distributed; GitLab promotes equal opportunity, remote-friendly roles with location-based considerations, comprehensive benefits, and a commitment to diversity and inclusion.

GitLab markets itself as an intelligent orchestration platform for DevSecOps that boosts developer productivity, operational efficiency, and security while accelerating digital transformation, trusted by 50M+ users and many Fortune 100 companies, with AI embedded as a core productivity multiplier. The role is Director of Recruiting, Engineering and IT for GitLab’s India-based efforts and the broader Asia-Pacific region, reporting to a senior Talent Acquisition leader, and responsible for leading recruiting managers, setting regional strategy, and owning senior- and executive-level searches. Key responsibilities include building a multi-layer recruiting organization to handle 100–200+ requisitions across India and APAC, coaching managers, defining sourcing and market strategies for hard-to-fill tech roles, advising leaders on organization design and workforce planning, and defining regional hiring metrics while partnering with People, Compensation, Finance, and other teams. Candidates should have experience leading recruiting in high-growth tech, managing distributed teams, deep experience hiring Engineering and IT talent from IC to executive levels, strong knowledge of India/APAC markets, a data-informed approach, and familiarity with tools like LinkedIn Recruiter, ATSs, and Greenhouse, with a welcome for diverse backgrounds. The team operates asynchronously across time zones with remote collaboration; GitLab emphasizes inclusive hiring and equal opportunity, offers comprehensive benefits, and notes location-based eligibility and a Recruitment Privacy Policy.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, operational efficiency, security/compliance, and digital transformation, with AI treated as a core productivity multiplier and a culture that values every voice. GitLab.com is being rebuilt as a horizontally scalable system based on two primitives—Organizations and Cells—and the company is hiring a Director of Engineering in India to lead this charter, delivering data residency, in-region AI, and tenant-level policy as product capabilities. The role entails delivering the Cells and Organizations roadmap (provisioning, routing, data migration tooling, and feature parity), executing migrations with zero data loss and no downtime, and establishing a multi-cloud, multi-region footprint while deciding what stays cell-local and leading the engineering organization across multiple teams. Success is measured by customer Organizations running on cells in production with clean migrations, improved availability and latency, decreasing infrastructure cost per unit as the footprint grows, and strong throughput and retention of the teams built. Qualifications emphasize director-level engineering leadership with experience managing 25–60 engineers, a track record shipping multi-quarter infrastructure programs with cross-team dependencies, deep distributed-systems and cloud infrastructure expertise, and familiarity with AI-native engineering, with GitLab offering remote work, comprehensive benefits, and an inclusive, merit-based hiring process that respects location considerations and accommodations.

GitLab presents itself as an intelligent DevSecOps orchestration platform that aims to boost developer productivity, security, and digital transformation, with a large user base and a culture that integrates AI into daily work. The Director, Engineering, Platform Operations & Productivity role oversees three connected functions—Git & Gitaly Operations, Nonlinear Productivity (Friction Elimination), and Platform Staff—leading a small, senior, AI-native Platform Staff team to deliver high-leverage outcomes with measurable metrics. Responsibilities include owning outcomes for Git & Gitaly Operations, building operating rhythms, and representing all three functions to peers and customers, while setting the technical bar through design reviews and crisis management. Candidates should have hands-on distributed-systems experience, a track record of engineering-operations leadership at scale, the ability to drive measurable productivity improvements, experience with AI-assisted development tools, and the capacity to manage multiple managers and switch contexts across infrastructure, productivity, and crisis response. GitLab offers remote, globally accessible roles with flexible benefits, a strong equal-opportunity policy, and inclusive recruitment practices, while noting location considerations and privacy in the process.

GitLab is the intelligent orchestration platform for DevSecOps used by more than 50 million registered users and trusted by over half of the Fortune 100 to ship better, more secure software faster, with a culture that treats AI as a core productivity multiplier and values every voice. As a Deal Desk Strategist for Asia-Pacific and Japan (APJ), you’ll partner with Sales and Revenue teams to shape deal structure, quoting, and bookings and act as the primary expert for sales-assisted quotes in Salesforce. You’ll own the end-to-end quote-to-cash process: reviewing opportunities and order forms, validating pricing in CPQ tools (Salesforce, Zuora CPQ), ensuring terms align with revenue recognition and internal policies, and resolving issues with cross-functional teams. Candidates should have experience in quote-to-cash functions, strong CPQ and Salesforce skills, understanding of pricing, discounts, standalone selling price, revenue recognition concepts, and solid problem-solving and data-review abilities. This fully remote role in GMT+10 offers a collaborative Deal Desk team, growth and benefits including equity and parental leave, and GitLab’s commitment to equal opportunity and inclusive hiring practices.

GitLab is an intelligent, AI-enabled DevSecOps platform used by over 50 million registered users and trusted by Fortune 100 companies, with a remote, values-driven culture that treats AI as a core productivity multiplier. The AI Engineer role reports to the Director, Enterprise AI, and is a hands-on technical leader responsible for delivering internal AI-powered solutions from discovery through deployment, starting with Sales, Marketing, and Customer Support. You will diagnose business problems, map workflows, own AI initiatives end-to-end, ship rapid prototypes, improve organizational flow, integrate AI into existing systems, and measure success with flow metrics, adoption, and ROI while acting as Customer Zero. Candidates should be a technologist at heart with solid coding skills and deep AI/LLM experience (prompt engineering, model selection, agentic architectures, safety, systems thinking, and enterprise data/workflows), with end-to-end ownership and a product mindset; preferred qualifications include GitLab experience, consulting or solutions engineering background, value-stream mapping, low-code tools, startup experience, and mentoring. The role sits in the Enterprise Technology & AI team within a fully remote, asynchronous company, and GitLab offers benefits such as flexible PTO, equity, parental leave, and a strong commitment to equal opportunity and inclusion.

Atlassian offers flexible work arrangements, allowing employees to work from an office, from home, or hybrid, with hiring possible in any country where they have a legal entity. The Bengaluru office anchors the company, but eligible candidates can work remotely across India. They are seeking a Principal Backend Software Engineer to join a team focused on delivering creative engineering improvements. The engineering organization aims to be world-class, prioritizing AI and cloud transition while delivering value through Jira, Confluence, Trello, and Bitbucket, and emphasizes collaboration to achieve extraordinary results. Responsibilities include tackling large, complex problems from design to launch; setting architectural standards; leading code reviews, documentation, and high-risk bug fixes; collaborating across teams on company-wide initiatives; and mentoring junior engineers while transferring knowledge across languages.

At Atlassian, employees can choose where they work and interviews and onboarding are conducted virtually as part of a distributed-first approach, with hiring available in any country where the company has a legal entity. The role for this position requires you to be located in India to support the team. You’ll lead an engineering team within Jira Service Management IT Operations, a fast‑growing cloud portfolio focused on transforming how engineering and IT teams detect, respond to, resolve, and prevent incidents at enterprise scale, powering alerting, on‑call scheduling, incident orchestration, and mobile experiences. You’ll operate within a distributed triad of Engineering, Product, and Design, delivering high‑quality software, shaping roadmaps, aligning with customer‑centric goals, guiding technical and architectural decisions, and fostering an inclusive, high‑performing culture. The candidate should have 12+ years of experience managing software engineers, hands‑on coding experience, a track record with large‑scale cloud/SaaS products, ability to partner with Product and Design, strong communication skills, and a CS/Engineering degree or equivalent.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where they have a legal entity. The Senior Champion Program Manager (Sr. CPM) will foster growth and build robust connections with Atlassian Champions across APAC to help them contribute to the community and align with business priorities like user groups, events, forums, and content creation. As a senior member of the Champion Engagement & Experiences team, you’ll own the operational backbone, maintaining the Champion tech stack, documentation, and engagement metrics, and driving annual surveys and feedback loops. You’ll also serve as the Champion representative on enablement initiatives (CRM migrations, revamped perks & rewards, Champion Hub, lifecycle emails, and workshops) and handle first-line escalations with recommendations for next steps. Day-to-day, you’ll cultivate trust by engaging Champions through Slack, forums, email, and in-person events; highlight regional stories and accomplishments; host the Annual Regional Connect event; and enforce the Champion Program Guidelines.

Data and observability are central to engineering reliability at Atlassian, with the Reliability Process Group (RPG) building the data infrastructure, ingestion pipelines, and analytics surfaces that track incident posture, PIRs, SLOs, and reliability metrics across the company (e.g., Reliability Watch, MSR reporting, AutoHOT). The company is seeking a Senior Data Engineer (P50) to take end-to-end ownership of data pipelines and analytical data products. In this role, you will design robust batch and incremental ETL/ELT pipelines, implement automated Data Quality frameworks, optimize query performance at scale, and deliver trusted datasets powering executive and team-level reliability reporting. You will own end-to-end pipeline and system design, building scalable pipelines that ingest data from Jira/JSM, OpsGenie, internal incident services, and telemetry stores. You will also work on data modeling with reliable data models and marts using dbt and Databricks, establish automated DQ checks and alerting, enable analytics and visualization for dashboards and executive reporting, optimize performance and cost, and champion engineering standards and mentorship.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. Atlassian is seeking a Product Lead to own the strategy, delivery, and operating model for the CMK and encryption platform portfolio at the intersection of enterprise trust, platform capability, regulatory readiness, and customer value. The role will define how encryption capabilities scale across Atlassian Cloud, clarify product and platform scope, and drive outcomes for CMK, encryption platform, Bring Your Own Key patterns, and related services. Responsibilities include owning the product vision and roadmap, defining scope and boundaries, guiding roadmap decisions across commitments, architecture, and commercial priorities, and partnering with engineering, security, GTM, legal, and compliance teams. The scope covers CMK strategy, Bring Your Own Key and external key management patterns, encryption standards and architecture, enterprise trust requirements, prioritization balancing customer demand, risk reduction, platform leverage, and revenue impact, with a focus on aligning across product, platform, and go-to-market teams and maintaining continuity and long-term portfolio coherence.

At Atlassian, you can work flexibly from an office, home, or a mix, and the company hires globally with virtual interviews and onboarding as a distributed-first team. The Senior Principal Forward Deployed Engineer (FDE) will lead applied AI initiatives, working directly with customers and cross-functional teams to deliver AI-powered solutions and help shape the future of AI-powered teamwork. Key responsibilities include contributing across the product suite, leading design and deployment of AI/ML solutions using Rovo tailored to customer needs, building robust integrations, influencing product direction with customers, and driving adoption of AI-augmented workflow automation. The role also involves end-to-end deployment, ongoing evaluation and improvement, navigating AI risk and GDPR compliance, mentoring others, and communicating complex concepts clearly to technical and non-technical stakeholders while aligning with business objectives. Compensation is equitable and competitive, with base pay in range and potential benefits, bonuses, commissions, and equity, following consistent hiring practices.

Atlassian offers flexible work locations—office, home, or hybrid—with a distributed-first approach and hires in any country with a legal entity, with virtual interviews and onboarding. The Principal Forward Deployed Engineer (FDE) role puts you at the forefront of applied AI, working with customers and cross-functional teams to deliver AI-powered solutions in a high-visibility, high-impact position. You will contribute code across the Atlassian product suite, lead the design, development, and deployment of AI/ML solutions using Rovo, and architect robust integrations with Python, JavaScript, and APIs for enterprise-scale systems. You’ll influence product direction by collaborating with customers, champion AI-augmented workflow automation, oversee end-to-end deployment and ongoing improvement, navigate risk and data privacy requirements, mentor senior engineers, and clearly communicate complex concepts to stakeholders. Compensation is designed to be equitable and competitive, with base pay within a range and potential eligibility for benefits, bonuses, commissions, and equity.

The role is a Principal Data Scientist at Atlassian who partners with business leads to tackle high-impact analytics, strategy, and operations projects and to translate data into compelling visualizations for leadership decisions. You will collaborate with cross-functional partners on product and business problems, applying quantitative analysis, experimentation, and data storytelling to develop strategies and solve major challenges. The role emphasizes developing, understanding, and testing hypotheses through analytical approaches, methodologies, frameworks, and technical methods to identify opportunities to improve products and the business and influence roadmaps with insights. You will identify and measure the success of product efforts by forecasting and monitoring key product metrics, using data to shape product development, quantify opportunities, and anticipate challenges. You will communicate insights broadly through storytelling to leadership teams, serving as a trusted strategic partner to inform, influence, and execute strategy decisions.

1. Atlassians can choose where they work—office, home, or a hybrid—and the company hires people in any country where it has a legal entity. 2. Atlassian is seeking a Principal Data Engineer to join the Data Engineering Team as a tech lead and architect to build world-class data solutions that power crucial business decisions and support a data-driven culture. 3. The role involves owning the technical evolution of data engineering, delivering incrementally, escalating risks and issues promptly, and maintaining high standards for data quality, performance, scale, and security. 4. You will define the problem space, architect solutions, coordinate engineers, and mentor the team while working closely with the engineering manager to help the team grow. 5. You will collaborate with counterparts in other departments to build a multi-functional team and drive a culture of collaboration across the organization.

Atlassian supports flexible work options (office, home, or hybrid) and hires globally wherever they have a legal entity, with virtual interviews and onboarding as part of a distributed-first approach. The Mid-Market Manager India role leads a team of mid-market account executives focused on acquiring and managing India-based mid-market customers, with the option to work remotely or from the Bengaluru office. Responsibilities include leading the team, developing and implementing plans to penetrate and expand the Asia-focused mid-market, elevating the Atlassian brand through executive engagement and thought leadership, analyzing data and market trends, managing key client relationships, mentoring, setting performance goals, recruiting, and collaborating with internal teams. The role requires experience in sales in India as both an individual contributor and a manager, building multi-country sales strategies, understanding APAC cultural nuances, deep knowledge of the Atlassian solution landscape in India (including regulatory, data, language, and ways-of-working considerations), and a strong track record of hitting targets with CRM, pipeline management, and analytics tools. The ideal candidate is motivated to coach others, loves challenging traditional sales models, and thrives in a fast-paced international environment while sharing insights with the team.

Atlassian aims to unleash the potential of every team and revolutionize software development, serving top customers like Williams Racing, NASA, Nike, Pixar, and Tesla, with a multi-billion-dollar, fast-growing business, 300,000 paying customers, and millions of users worldwide. The culture is open, welcoming, collaborative, and passionately focused on customer success. As an Enterprise Account Executive, you will build and implement a territory strategy to drive growth and adoption across Atlassian’s portfolio with the largest enterprise customers, while championing customer needs and uncovering additional value. You’ll work across a territory of major existing customers in India, coordinating with Channel Partners, Product Specialists, and internal Marketing to position value, and collaborate with Solution Engineering, Sales Development, Customer Success, and external Partners to execute effective sales strategies. Responsibilities include developing territory and named account plans, maintaining full account ownership, engaging in regular 1:1 meetings and executive roundtables, educating customers on Atlassian’s Cloud-based System of Work (AI, Scaled Agile, ESM, Work Management, DevOps), and consistently exceeding quotas through teamwork and alignment with Technical Account Managers.

SmartBear provides application integrity across modern tech stacks with deep test automation, API lifecycle management, and observability, integrated across the SDLC to enable fast, AI-like governance. It is trusted by 32,000 organizations, including 75% of the largest financial institutions and brands like Adobe, JetBlue, and Microsoft, and its open source tools attract over 100 million downloads per month with 30,000 GitHub stars. Its best-loved brands include Swagger, TestComplete, Reflect, QMetry, and Zephyr, and it aims to meet customers wherever they are to improve the technology-driven world. The Senior Full Stack Engineer – NodeJS/ReactJS role focuses on LoadNinja, requiring design, development, and evolution of cloud-native applications using JavaScript/TypeScript, React, Node.js, and AWS, plus ownership of complex features and architectural direction. Qualifications include a bachelor’s degree in CS or equivalent, 6+ years of experience, strong React/Node.js, AWS, REST APIs, Docker, CI/CD, and experience mentoring, with preferences for browser automation, Kubernetes, observability tools, and developer/testing platform experience, all within an inclusive, growth-oriented, equal-opportunity culture.

We are hiring a Senior Infrastructure Engineer for the SRE team that owns the infrastructure, tooling, and automation for Jira and Confluence Cloud to meet customer reliability. The ideal candidate is a technical leader, aware of current industry reliability trends, who can mentor others and enjoys sharing knowledge, with a passion for changing the status quo. The role focuses on analyzing and improving services and processes to achieve higher reliability, performance, scalability, and cost efficiency, reporting to the Senior Engineering Manager. Requirements include 5+ years operating high-availability, fault-tolerant distributed software, building monitoring, dashboards and alerts, runbooks; 5+ years in public cloud (at least 1 year on GCP); Unix/Linux familiarity; strong debugging and automation skills; and backend experience in Java, Go or Python. Excellent communication and the ability to mentor and coach engineers to explain complex technical issues to diverse audiences.

Atlassian allows employees to work from the office, home, or a hybrid setup, and hires across any country where the company has a legal entity. Data is central to the business, with billions of events ingested monthly into the analytics platform used by dozens of teams for critical decisions. The company builds and maintains an analytical and operational data store to enable informed decisions on trusted data and services. They are hiring a Senior Data Engineering Manager for the Finance Data Engineering team to further democratize data and create exceptional data products. Key responsibilities include leading and mentoring engineers, providing deep technical guidance in a scalable data ecosystem, driving engineering excellence and process improvements, and collaborating with cross-functional teams such as Business, Data Science, and Analytics Platform.

Atlassian offers flexible work locations—office, home, or hybrid—and hires people in any country where the company has a legal entity to support employees' family, personal goals, and priorities. The Principal Enterprise Delivery Manager is responsible for ushering Atlassian’s largest, most complex customers through their transition to the cloud, acting as a strategic advisor and technical consultant to senior decision-makers while leading delivery and governance of large-scale migrations. The role combines business acumen and technical fluency and involves collaborating with cross-functional teams (Sales, Solutions, Support, Product Management, Channel Partners, and Engineering) to navigate architectural decisions, risk mitigation, performance guardrails, and adoption planning; ideal for someone at the intersection of strategy, data, and execution with cloud adoption and AI experience. Key responsibilities include migration strategy, risk management (readiness assessments, guardrail interpretation, actionable remediations), technical architecture (APIs, webhooks, automation), trusted advisor to senior leadership, delivery excellence, accountability, and stakeholder and escalation management. It also requires mentoring, internal enablement (training workshops and playbooks), staying ahead of industry trends, and proposing innovative, data-driven solutions to business challenges for Atlassian’s most strategic customers.

Atlassian supports flexible work options (office, remote, or hybrid) and hires globally where they have a legal entity, helping employees balance personal goals and priorities. The Principal Enterprise Delivery Manager leads Atlassian's largest cloud migrations, serving as a strategic advisor and technical consultant to senior customer decision-makers while coordinating delivery and governance with cross-functional teams. The role requires business acumen and technical fluency, focusing on developing customer cloud strategies and enabling adoption of cloud features, including AI, through a deep understanding of data movement, integrations, and migration outcomes. Responsibilities include end-to-end migration strategy, risk management with readiness assessments and remediation, technical architecture around APIs/webhooks/automation, trusted advisory to executives, and governance of the migration lifecycle from discovery to go-live, plus milestone-driven accountability and stakeholder communication. Additional duties include team leadership and mentoring, internal enablement like training workshops and playbooks, escalation management for blockers, and staying ahead of industry trends to propose innovative, data-driven solutions.

The role is Principal Data Scientist at Atlassian, focused on Service Collection, using analytics, data science, and AI/ML to identify opportunities and influence the roadmap, while simplifying complexity and accelerating decision-making with data insights. The candidate should have strong business instincts, comfort with executive stakeholders, proficiency in statistical analyses, expertise in AI/LLM, and experience partnering with cross-functional teams while mentoring junior data scientists. Atlassian offers flexible work options (office, home, or hybrid) and can hire in any country with a legal entity. Responsibilities include shaping strategy and key decisions for Service Collection by blending business acumen with advanced data science, and defining, setting, and reporting department-level KRs for the Service Collection R&D team. The role also involves building measurement frameworks and ML tooling to accelerate growth, leading high-impact projects across Engineering, Product Management and Design, Data Engineering, and Research and Insights, and fostering a world-class data science culture through training and mentoring.

The role is Principal Data Scientist at Atlassian, focused on Service Collection and using analytics, data science, and AI/ML to identify opportunities and influence the product roadmap. The position blends end-to-end business acumen with advanced data science to shape strategy and decision-making for Service Collection and requires reporting department-level key results to the R&D team. Responsibilities include building measurement frameworks, ML models, and tooling to accelerate growth, and leading high-impact projects with cross-functional teams (Engineering, Product Management, Design, Data Engineering, and Research & Insights). The role also involves mentoring junior data scientists, training others on technical concepts, and partnering with executive stakeholders, with proficiency in AI/LLM. Atlassian offers flexible work arrangements (office, home, or hybrid) and hires in any country with a legal entity.

SmartBear delivers application integrity for modern tech stacks with deep test automation, API lifecycle management, and observability, enabling continuous, measurable assurance that software works as intended at AI speed and scale. With integrations across the SDLC, it sets a new quality standard and is trusted by developers, testers, and software engineers in 32,000 organizations, including 75% of the largest financial institutions and brands such as Adobe, JetBlue, and Microsoft. Its open-source tools are downloaded more than 100 million times a month and have earned over 30,000 GitHub stars, while its brands like Swagger, TestComplete, Reflect, QMetry, and Zephyr help meet customers where they are. The posted roles include Senior Software Engineer – Java and Senior Backend Engineer roles focused on designing, documenting, and implementing scalable Java applications on AWS with Docker, Terraform, microservices, REST, CI/CD, and robust testing in a globally distributed team. SmartBear emphasizes an inclusive, growth-oriented culture with a People and Culture organization, global offices from Somerville, MA to Galway, Bath, Wroclaw, Ahmedabad, and Bangalore, and a mission to improve software quality in an AI-driven world.

At Atlassian, employees can choose where they work—office, remote from home, or a mix—supported by a distributed-first culture and global hiring wherever we have a legal entity. Atlassian's products, including Jira Software, Confluence, and Jira Service Management, help teams organize, discuss, and complete work, and are trusted by Fortune 500 firms and organizations like NASA, Audi, Kiva, Deutsche Bank, and Dropbox. The Mid-Market sales team manages a portfolio of mid-sized customers, identifies cloud-first sales and cross-sell opportunities, nurtures relationships, and aims to meet revenue targets. They are expected to advocate for customers by feeding feedback to product and engineering teams to improve the customer experience, and to collaborate closely with Channel Partners, Product Specialists, Account Managers, and Solution Engineers. Responsibilities include developing named Account or Territory plans (India) to maximize expansion and customer success across products, staying updated on market trends, and traveling occasionally for client meetings and industry events.

Atlassian offers flexible, distributed-first work options with hires globally and virtual interviews and onboarding. Atlassian's products—Jira Software, Confluence, and Jira Service Management—help teams collaborate and are used by Fortune 500 companies and others like NASA, Audi, Kiva, Deutsche Bank, and Dropbox. The Mid-Market sales team is responsible for managing a portfolio of mid-sized customers, identifying cloud-first opportunities, cross-selling and expanding users, nurturing relationships, and achieving revenue targets, while advocating for customers and feeding feedback to product and engineering. The role involves collaborating with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to deploy Atlassian at scale and developing named Account or Territory plans (India) to maximize expansion and customer success. Additional duties include growing the business within the mid-market, qualifying opportunities, conducting product demonstrations, staying informed on market trends and competitors, providing regular updates to management, and occasional travel for client meetings and events.

Atlassian offers flexible work locations and a distributed-first approach with virtual interviews and onboarding for a global workforce. We’re seeking a Senior Principal Backend Software Engineer to join Jira Platform and help turn its vision into reality as the trusted, agent-native system of record and control plane for enterprise-scale human and agent teamwork. The Jira Data Management team focuses on data transfer and management within Jira Cloud, enabling large-scale migrations (Data Center to Cloud, Cloud to Cloud, External to Cloud) and data-shape management like Site Optimizer, backed by a 50+ person team of engineers, PMs, and designers. You will own the technical evolution and long-term architecture of Jira Data Management, lead major architectural initiatives across Jira Platform, and define a 12–24 month roadmap for shared platform primitives with emphasis on reliability, performance, observability, security, and operational excellence. You’ll provide hands-on technical leadership through design reviews, deep investigations, incident reviews, and mentorship of principal and senior engineers while driving Atlassian’s objectives in a fast-paced environment.

Atlassian allows employees to work where they choose—office, home, or a mix. This setup gives employees more control to support their family, personal goals, and other priorities. Atlassian can hire people in any country where it has a legal entity. The text includes a placeholder for a job description to be inserted. Overall, the message highlights flexible work options and global hiring reach.

Atlassian offers flexible work options—office, remote, or hybrid—and can hire people in any country where the company has a legal entity. The Search Platform mission focuses on building products that help teams move work forward by connecting people to knowledge, content, and actions. The engineering leadership role involves leading a team responsible for critical search platform capabilities, setting technical and execution direction for large-scale search infrastructure, and partnering with senior engineers, product, and adjacent platform teams to define roadmaps and trade-offs. It also entails leading incident readiness, operational reviews, capacity planning, and architecture decisions for high-availability systems, as well as hiring, coaching, and developing engineers and managers to foster clarity, accountability, and growth. The goal is to improve engineering effectiveness through stronger planning, prioritization, technical design, and delivery rhythms.

Atlassian supports flexible work locations (office, home, or a mix) and hires in any country where it has a legal entity. In Search Platform, the mission is to help teams move work forward by connecting people to knowledge, content, and actions, with leaders addressing distributed systems, data infrastructure, developer platforms, product impact, and operational excellence. The role focuses on leading a team that builds large-scale search infrastructure, setting technical and execution direction, and coordinating with senior engineers, product, and adjacent platform teams to define roadmaps and durable improvements. Responsibilities include incident readiness, capacity planning, architecture decisions for high availability, and hiring, coaching, and developing engineers and managers to foster clarity, accountability, and growth. The goal is to improve engineering effectiveness through better planning, prioritization, technical design, and delivery rhythms.

Atlassians can choose where they work—office, home, or a mix. This arrangement gives employees greater control over supporting their family, personal goals, and other priorities. Atlassian can hire people in any country where the company has a legal entity. The document includes a placeholder for inserting a job description. Overall, the message emphasizes flexible work options and broad international hiring.

At Atlassian, you can work from an office, from home, or a mix, and interviews and onboarding are conducted virtually as part of being a distributed-first company, with hiring possible in any country where Atlassian has a legal entity. The company’s products—Jira Software, Confluence, and Jira Service Management—help teams collaborate and deliver quality results, and are used by the Fortune 500 and many other organizations worldwide. The Mid-Market sales team focuses on cloud-first opportunities, cross-sell and user expansion, nurturing customer relationships, and achieving revenue targets, while acting as a strong advocate for customers and providing feedback to product and engineering. All responsibilities are carried out in collaboration with Channel Partners, Product Specialists, Account Managers, and Solution Engineers, guided by Atlassian values to aid customer deployment at scale. The role involves developing named Account or Territory plans (India), driving growth in the mid-market, building relationships, conducting product demonstrations, staying informed on industry trends, providing progress updates, and traveling occasionally for client meetings and events.

Atlassian supports flexible, distributed work, with virtual interviews and onboarding, and hires in any country where it has a legal entity. The company’s software—Jira Software, Confluence, and Jira Service Management—helps teams collaborate, and is used by the majority of the Fortune 500 and many other organizations including NASA, Audi, and Deutsche Bank. The Mid-Market sales team manages a portfolio of mid-sized customers, identifies cloud-first opportunities, pursues cross-sell and expansion, and aims to meet revenue targets while advocating for customers to product and engineering. They work closely with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to deploy at scale and align with Atlassian values. They develop named Account or Territory plans (e.g., India), drive growth in the mid-market, demonstrate products, stay informed on industry trends and competitors, report progress, and occasionally travel for client meetings and events.

SmartBear delivers application integrity for modern tech stacks by offering deep test automation, API lifecycle management, and observability, with governance to operate at AI speed and scale and integrations across the SDLC to set a new quality standard. It is trusted by developers, testers, and software engineers across 32,000 organizations, including 75% of the largest financial institutions and brands such as Adobe, JetBlue, and Microsoft, with open-source tools downloaded over 100 million times per month and more than 30,000 GitHub stars; its best-loved brands include Swagger, TestComplete, Reflect, QMetry, and Zephyr. SmartBear’s mission is to make the technology-driven world a better place, and it invites people to learn more at smartbear.com and follow the company on LinkedIn, X, and Reddit, while maintaining an inclusive and ethical workplace. The BugSnag role summary describes supporting enterprise customers adopting BugSnag to improve application stability, partnering with Sales to deliver technical demonstrations, proofs of concept, and customer evaluations, and building expertise in observability and customer-facing solution engineering. Candidates should have 2+ years in solutions engineering or related fields, knowledge of software development fundamentals and multiple programming languages, strong communication, curiosity, and the ability to collaborate across Sales, Product, and Engineering, with SmartBear emphasizing career growth and a diverse, inclusive culture.

SmartBear delivers application integrity for modern tech stacks, offering deep test automation, API lifecycle management, and observability with governance to operate at AI speed and scale, serving 32,000 organizations including 75% of the largest financial institutions and brands like Adobe, JetBlue, and Microsoft. Its open-source tools are downloaded over 100 million times per month and have more than 30,000 GitHub stars, with best-loved brands such as Swagger, TestComplete, Reflect, QMetry, Zephyr, and more. SmartBear is headquartered in Somerville, MA, with offices worldwide, and it emphasizes ethical practices, social responsibility, and an inclusive, merit-based culture. The BugSnag-focused role supports enterprise customers adopting BugSnag to improve application stability, partners with Account Executives to deliver technical demos and proofs of concept, and guides customers on integrating BugSnag into modern development workflows while collaborating with Product, Engineering, and Customer Success to share feedback. Ideal candidates have 2+ years in solutions engineering or similar customer-facing roles, knowledge of software development fundamentals and debugging, experience with APIs and languages such as JavaScript, Java, .NET, or Python, strong communication and collaboration skills, plus a curious mindset; SmartBear offers career growth, a People and Culture focus, and an inclusive environment as part of its mission to improve software quality in an AI-driven world.

SmartBear delivers application integrity for modern tech stacks with AI-speed governance, offering deep test automation, API lifecycle management, and observability across the SDLC to raise the quality standard for delivery teams. It is trusted by 32,000 organizations, including 75% of the largest financial institutions and industry leaders such as Adobe, JetBlue, and Microsoft, with open-source tools downloaded more than 100 million times per month and earning over 30,000 GitHub stars. Its best-loved brands include Swagger, TestComplete, Reflect, QMetry, Zephyr, and more, and SmartBear meets customers where they are to improve the technology-driven world; learn more at www.smartbear.com or follow the company on LinkedIn, X, and Reddit. The Senior Software Engineer - C++ TestComplete role focuses on developing and maintaining the testing tool in C++, collaborating to implement backend functionalities, and integrating frontend and backend work across the web, mobile, and desktop test automation market, with a tech stack including C++, C#, Delphi, Avalonia, Windows programming, and GUI tools. Qualifications include 6+ years of backend software engineering in C++, familiarity with Delphi, Windows programming, solid OOP and design pattern knowledge, CI/CD experience, a BS in CS/SE, and English at least B2, while SmartBear emphasizes career growth, inclusivity, a People and Culture approach, global offices, industry awards, and equal opportunity employment in a diverse, respectful workplace.

SmartBear delivers application integrity for modern tech stacks with governance that operates at AI speed and scale, offering deep test automation, API lifecycle management, and observability across the SDLC. It is trusted by 32,000 organizations—including 75% of the largest financial institutions and brands like Adobe, JetBlue, and Microsoft—with open source tools downloaded over 100 million times per month and more than 30,000 GitHub stars. Its best-loved brands, such as Swagger, TestComplete, Reflect, QMetry, and Zephyr, help meet customers where they are to improve the technology-driven world, with more information at smartbear.com and on LinkedIn, X, and Reddit. The Principal Software Engineer - Java Zephyr Enterprise role seeks a technical leader to drive complex changes, provide architecture guidance, mentor developers, and own backend Java 8+ development, requiring 12+ years of experience and deep expertise in Spring, AWS, databases, security, testing, and observability. SmartBear emphasizes a growth-oriented, people-first culture with equal opportunity employment, global offices, and awards, inviting candidates to join its mission to advance software quality.

SmartBear delivers application integrity for modern tech stacks, providing continuous, measurable assurance with governance to operate at AI speed and scale, including deep test automation, API lifecycle management, and observability across the SDLC. It is trusted by developers, testers, and software engineers across 32,000 organizations—including 75% of the largest financial institutions and brands like Adobe, JetBlue, and Microsoft—with open source tools downloaded more than 100 million times per month and earning over 30,000 GitHub stars. Its best-loved brands—Swagger, TestComplete, Reflect, QMetry, Zephyr, and more—help meet customers where they are to improve our technology-driven world. SmartBear promotes an inclusive, people-focused culture and invites people to learn more at www.smartbear.com or follow the company on LinkedIn, X, and Reddit as part of its mission to solve one of the most critical challenges of the AI era. The India-based People & Culture Director role combines hands-on HRBP partnership with statutory compliance accountability, requiring 8+ years of experience, strong Indian labor-law expertise, and responsibility for all India-based employees, operating from the Ahmedabad office in a hybrid model while partnering with a global, distributed People & Culture team.

SmartBear delivers application integrity for modern tech stacks with AI-powered governance, offering deep test automation, API lifecycle management, and observability, with integrations across the SDLC to raise quality for application-delivery teams. It is trusted by 32,000 organizations—including 75% of the largest financial institutions—and brands like Adobe, JetBlue, and Microsoft; its open-source tools are downloaded over 100 million times per month and have earned more than 30,000 GitHub stars, with popular brands such as Swagger, TestComplete, Reflect, QMetry, and Zephyr. Learn more at www.smartbear.com and follow SmartBear on LinkedIn, X, and Reddit as it aims to make the technology-driven world better. The role described is a People & Culture Director for SmartBear’s India operations, combining hands-on HRBP partnership with statutory compliance and serving as the India employment-regulation expert in partnership with the Director of Global People Operations. The position requires 8+ years as a senior HRBP, success partnering with senior leaders, expertise in performance management, employee relations, and organizational effectiveness, strong knowledge of Indian labor law, and a willingness to collaborate with a global People & Culture team, along with a culture of inclusion, growth, and celebrating differences.

The Senior Demo Platform Architect will own the development, maintenance, and continuous improvement of shared demo environments and reusable customer service use cases, leveraging Zendesk, Amazon Connect, and AWS, with hands-on technical work, strong operational ownership, and independent decision-making to keep demos reliable, current, scalable, and ready for internal teams and occasional customer-facing engagements. Core duties include defining the technical vision for the demo platform, building end-to-end demonstrations of contact center CX, AI, automation, analytics, and integrations, maintaining integrations among Zendesk, Amazon Connect, AWS, and other enterprise systems, supporting presales with opportunity-specific configurations, and tracking releases to incorporate new capabilities. The role emphasizes driving automation and standardization, governance, security, cost management, platform reliability, and participating in customer demos, PoCs, technical discussions, and creating technical guides, setup instructions, troubleshooting docs, architecture diagrams, demo scripts, and enablement materials, while engaging with vendors and partners to stay aligned with product capabilities. Qualifications include a bachelor’s or master’s in a relevant field, 8–10 years in solution/platform engineering or related field with at least 5 years in contact center tech (Amazon Connect and Zendesk preferred), strong proficiency with AWS services (Lambda, Amazon Lex, Bedrock, IAM, DynamoDB, S3, API Gateway, CloudWatch) and CRM/CX platforms, with Python and/or NodeJS experience preferred, and a proven track record of developing demos and maintaining shared environments. Additional requirements include Zendesk and AWS certifications preferred, experience with omnichannel contact center solutions and Agile/DevOps practices, and location and work model constraints: candidates must be located in Karnataka or Maharashtra, India with a hybrid arrangement requiring some in-office presence; Zendesk is an equal-opportunity employer and may use AI screening with accommodations available.

Zendesk is seeking a seasoned Contact Center Partner Solutions Consultant to lead partner onboarding, technical enablement, and co-selling support, focusing on Zendesk, Amazon Connect, and AWS within the Contact Center Center of Excellence. The role will drive technical onboarding for partners, provide expert co-sell guidance, architect scalable contact center solutions, define the technical strategy and partner roadmap, mentor partners and presales teams, and drive AI/automation adoption while supporting pre- and post-sales activities. Key responsibilities include ensuring partner success through streamlined onboarding, providing technical oversight for architectural best practices, security, and delivery excellence, collaborating with partner sales, sales, and engineering to align on requirements and co-sell strategy, and promoting adoption of the latest contact center technologies. Required qualifications include a bachelor’s or master’s degree, at least 10 years of solution architecture experience (5+ in contact centers with Amazon Connect and Zendesk) and partner-facing enablement, proficiency with Zendesk, Amazon Connect, and AWS services (Lambda, Lex, IAM, DynamoDB, S3, API Gateway), plus Python or NodeJS preferred; strong enablement, leadership, communication, and problem-solving skills; and preferred certifications (Zendesk, AWS Solutions Architect) with familiarity in omnichannel, AI automation, and Agile/DevOps. The role is based in Karnataka or Maharashtra with hybrid in-office expectations, Zendesk’s commitment to diversity and inclusion, and a note that AI screening may be used with accommodations available for applicants with disabilities.

Zendesk seeks an experienced Cloud Solution Architect with deep AWS expertise to design and lead scalable, secure, and compliant cloud architectures, focusing on data engineering, identity and access management, serverless architecture, API-driven data platforms, and cloud-based contact center solutions such as Amazon Connect. Responsibilities include designing secure, highly available AWS-based architectures, implementing IAM solutions including federated authentication and CIAM, building event-driven serverless applications with Lambda, API Gateway, EventBridge, and SQS, and designing scalable data platforms using RDS, DynamoDB, S3, Glue, and Athena with API-driven data integration. The role also involves planning integration strategies for backend systems, enforcing security and compliance (encryption, audit logging, GDPR/CCPA/FedRAMP, least privilege), defining and implementing Infrastructure as Code with Terraform and CloudFormation, leading reusable IaC modules, and embedding IaC pipelines into CI/CD. Required qualifications include a bachelor’s degree or equivalent, 10+ years of cloud-architecture experience with deep AWS expertise, relevant AWS certifications (Solutions Architect mandatory), hands-on experience with Cognito/IAM and federation protocols, serverless and data-engineering platforms, Terraform/CloudFormation at scale, and excellent communication skills. Preferred qualifications include multi-cloud or hybrid-cloud exposure, CX/contact-center or identity-platform knowledge, experience with AI/ML solutions on AWS, plus a location note that Zendesk can hire only from Karnataka or Maharashtra and an AI-screening and equal-opportunity commitment.

The Security Testing team partners with Atlassian’s internal teams worldwide to deliver innovative, holistic security testing that secures Atlassian products, platforms, and customers. The role supports Atlassian’s security team, engineers, and customers by performing high-quality manual penetration testing and code reviews to provide technical assurance. Atlassian offers flexible work options (office, home, or hybrid) and can hire in any country with a legal entity; interviews and onboarding are conducted virtually as part of a distributed-first approach. You will validate the state of Atlassian’s technical security controls and collaborate closely with security and engineering teams, enjoying vulnerability hunting beyond automated tools. Reading and understanding code is important, as products are built with multiple languages, with Java, Go, and Python being the most common.

The Security Testing team's mission is to partner with Atlassian internal teams globally to provide innovative, holistic security testing for Atlassian products, platforms, and customers through high-quality manual penetration testing and code review. The role supports Atlassian’s security team, engineers, and customers by delivering world-class technical assurance of software, platforms, and services. Atlassian offers flexible work arrangements—office, home, or a mix—supported by a distributed-first culture, with virtual interviews and onboarding and hiring in any country where the company has a legal entity. You will technically validate the state of Atlassian’s security controls and work closely with security and engineering teams, enjoying vulnerability hunting and seeking issues beyond automated tooling. Because you work with product engineering, you must be able to read and understand code, with Java, Go, and Python being the most common languages across products.

The Security Testing team's mission is to partner with Atlassian internal teams worldwide to provide innovative and holistic security testing to secure Atlassian products, platforms, and customers. The role supports Atlassian’s security team, engineers, and customers by performing high-quality penetration testing on software, platforms, and services, and by providing world-class technical assurance through manual penetration testing and code review. Atlassian supports flexible work arrangements and hires in any country with a legal entity, with interviews and onboarding conducted virtually as part of a distributed-first approach. The role involves technically validating the state of Atlassian’s security controls and collaborating closely with security and engineering teams, with a focus on vulnerability hunting and finding issues that automated tools miss. Reading and understanding code is important for collaboration with product engineering teams, and the products are built primarily using Java, Go, and Python.

The Security Testing team’s mission is to partner with Atlassian internal teams globally to provide innovative and holistic security testing for Atlassian products, platforms, and customers. The role supports Atlassian’s security team, engineers, and customers by performing high-quality manual penetration testing and code reviews to provide technical assurance. Atlassian supports flexible work locations—office, home, or hybrid—and hires in any country where it has a legal entity; interviews and onboarding are conducted virtually as part of a distributed-first approach. The role involves validating the state of Atlassian’s technical security controls and collaborating closely with security and engineering teams, with a focus on vulnerability hunting beyond automated tools. Candidates should be able to read and understand code to strengthen security, working with product engineering teams, with Java, Go, and Python being the most common languages.

As a Technical Account Manager at Zendesk, you'll be an extension of our largest customers' teams, blending technical expertise with business acumen to help clients maximize value from Zendesk by guiding strategy, implementation methodologies, and developing technical solutions—without performing implementations yourself, instead partnering with clients and internal teams to navigate configurations, integrations, and architecture to drive CX transformation. Core responsibilities include establishing relationships at all levels, documenting CX/EX ecosystems, developing and leading tailored Customer Technical Roadmaps, conducting regular operational reviews, orchestrating Zendesk resources, creating critical issue resolution plans, and advocating for customer needs with product teams, in collaboration with other TAMs for continuous improvement. Required qualifications include 10+ years of technical experience (at least 5 in enterprise), knowledge of Zendesk products and environments, proven track record of driving technical initiatives, experience in service management and customer/employee experience, strong customer-facing technical leadership, SaaS and API/workflow understanding, and the ability to translate business objectives into technical roadmaps and deliver creative solutions with curiosity, plus deep understanding of at least one industry vertical. You’ll bring strategic vision to identify opportunities, translate business objectives into roadmaps, deliver measurable ROI, anticipate technology shifts, demonstrate leadership to align multiple stakeholders, and pursue continuous self-development and learning agility. Zendesk offers a hybrid work environment and a diverse, inclusive culture, with a location requirement that candidates be physically located in and plan to work from Karnataka or Maharashtra; the company also notes AI screening as part of the recruitment process and provides accommodations for disabilities as appropriate.

Zendesk is seeking an Enterprise Account Executive for North & East India to grow its enterprise SaaS base and build human-centered customer relationships. The role is responsible for driving top-line revenue by acquiring new enterprise clients, cross-selling to existing customers, managing key relationships for retention, and creating quarterly territory plans to expand market share. You will lead complex, value-centric sales cycles with multi-month proofs of concept, maintain a robust pipeline and forecast, secure C-level sponsorship, and collaborate with internal teams to optimize sales and product alignment. Requirements include a BA/BS, 10+ years in cloud/software B2B sales or solution engineering with a proven quota record, experience selling to VP/C-level executives, proficiency with Salesforce, Outreach, Clari, Seismic, Looker, and willingness to travel; base location NCR region with the caveat that the company can only hire candidates located and planning to work from Karnataka or Maharashtra per requisition. Zendesk emphasizes hybrid work, equal opportunity and inclusion, AI may be used for screening, and accommodations for applicants with disabilities can be requested.

Zendesk is seeking a vision-driven Director of Sales to lead and grow its India business across Enterprise and Commercial segments, building high-impact sales strategies and acting as the executive sponsor for its largest customer partnerships. The role emphasizes coaching top talent, driving strategic enterprise growth in complex value-centric deals, and shaping market strategy through quarterly territory and account planning to expand Zendesk’s enterprise market share. It requires pipeline and forecasting excellence with methodologies like MEDDPICC, and the ability to forge trusted C-suite relationships both internally and with strategic customers. The position is based in Bangalore or Mumbai, requiring candidates to be physically located in Karnataka or Maharashtra, with willingness to travel for customer engagements; nice-to-haves include President’s Club recognition and CX or AI enterprise expertise. Zendesk promotes a hybrid, inclusive culture, discloses that AI may be used to screen applications where applicable, and provides accommodations for applicants with disabilities under equal opportunity policies.

Atlassian offers flexible work options—office, home, or a mix—and hires people in any country where the company has a legal entity, with interviews and onboarding conducted virtually as part of a distributed-first approach. As a Principal Machine Learning Engineer, you will set the technical direction for how AI is built and shipped across Jira Service Management, designing and improving multi-step LLM pipelines, including prompting strategies, model selection, output parsing, and orchestration to raise quality and reliability. You’ll build retrieval and grounding systems that surface the right context at the right moment—knowledge articles, past requests, structured data, and tool outputs—so AI decisions are grounded in relevant, trustworthy information, and you’ll own the quality, latency, cost, and reliability of AI workflows at enterprise scale with measurable quality via evaluation frameworks and benchmarks. You’ll run disciplined experiments to validate whether changes to models, prompts, or retrieval move the needle, and build the infrastructure to run those experiments repeatedly and confidently. As a Principal, your influence extends beyond your own code, setting multi-quarter ML strategy, making architectural decisions across teams, mentoring and growing emerging ML engineers, and shaping the long-term AI trajectory of a product used by teams worldwide.

Atlassian supports flexible work locations and hires globally; the Search Platform team powers Rovo Search and enterprise data search across Atlassian and external apps with a fast, scalable, cost-efficient, enterprise-grade search infrastructure. As a Senior Principal Engineer in Search Platform, you will own the technical roadmap for the Search Data pillar, helping envision, build, and evolve a platform that integrates, processes, indexes, and searches massive unstructured data across 100+ sources, leveraging expertise in large-scale data platforms, streaming and batch processing, and distributed systems. You will lead other engineers to define strategic technical direction and own outcomes from design to launch, driving step-change initiatives and selecting problems to solve to deliver a world-class end-to-end search experience powered by fresh, reliable data across apps. Responsibilities include collaborating with leads and internal customers to define strategy and architecture for Search Data, evolving pipelines for real-time freshness and AI retrieval at enterprise scale, making hard trade-offs between freshness, correctness, cost, and operational simplicity, modernizing legacy data processing systems while eliminating unnecessary complexity, designing understandable, testable, and operable systems, and establishing patterns for handling messy data such as schema evolution, partial failures, eventual consistency, connector variability, and data quality degradation. You will own engineering and operational excellence for system health, drive continuous improvements and key metrics, boost developer productivity for agents, foster a culture of ownership, rigorous testing, safe rollouts, and data-driven engineering, and help hire and mentor engineers to build an open, innovative, and operationally responsible culture.

Atlassian offers flexibility in where you work—office, home, or a hybrid—and hires people in every country where we have a legal entity. The Search Platform team powers Rovo Search and enables knowledge discovery and search across all enterprise data, both Atlassian and external apps, through a fast, globally scalable, cost-efficient, enterprise-grade search infrastructure. As a Senior Principal Engineer in Search Platform, you will own the technical roadmap for the Search Data pillar and help envision, build, and evolve a platform that integrates, processes, indexes, and searches massive unstructured data from 100+ sources, including real-time and AI-focused retrieval. You’ll lead other engineers, define strategic direction, and own outcomes from design to launch while driving step-change initiatives and balancing trade-offs among freshness, correctness, cost, and operational simplicity, as well as modernizing legacy data processing systems. Responsibilities include defining strategy and architecture, establishing patterns for messy real-world data, owning operational excellence and metrics, improving developer productivity, and mentoring/hiring to foster a culture of ownership, rigorous testing, safe rollouts, and data-driven engineering.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. In this role you will define and communicate a clear territory vision, plan and report on funnel/status/resources, and collaborate with cross-functional teams to ensure customer satisfaction and retention. You will also represent the Atlassian Service Collection at industry events and work closely with Atlassian partner management and a range of partners from large IT service providers to professional service firms. Candidates should have at least 10 years of business development experience in technology vendors, with a track record of meeting/exceeding targets, plus ITSM market experience and familiarity with mainstream service management solutions. Additional requirements include experience working with Indian customers and local SI partners on RFP/RFI responses, the ability to drive GTM campaigns in the India market with Atlassian teams and channel partners, English fluency, and ITIL certification being a plus but not mandatory.

Atlassian offers flexible work options—office, home, or a hybrid model—and can hire in any country where it has a legal entity, giving employees more control over their priorities. The role involves defining and executing a clear territory vision, regularly planning and communicating funnel/status/resource needs/challenges and successes, and collaborating with cross-functional teams to ensure customer satisfaction and retention. You’ll represent the Atlassian Service Collection at industry events and work closely with Atlassian’s partner management and a range of partners from large IT service providers to other professional service firms. On day one, you should have at least 10 years of business development experience with a proven track record in technology vendors, plus ITSM market experience and familiarity with mainstream service management solutions, along with experience working with Indian customers and local SI partners on RFPs/RFIs, and be comfortable driving GTM campaigns with Atlassian teams and channel partners in India. English fluency is required, and ITIL certification is a plus but not mandatory.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity; the Senior Partner Solutions Architect role is remote and must be located in India. The role reports to the International Head of Partner Solutions and supports Atlassian’s mission to empower customers in the digital economy through enterprise-grade cloud and AI solutions. You will lead the development and implementation of tailored, AI-enabled enterprise transformations for end customers, collaborating with regional partners to design scalable architectures and champion AI-driven workflows. You will guide partners and customers through discovery, assessment, and delivery, ensuring measurable value from Atlassian’s platform and AI investments, and help grow the partner ecosystem. You will drive India-specific partner capability and GTM strategy, create packaged implementation services with partners, run capability workshops, collaborate with enterprise sales, and contribute to cloud thought leadership across Atlassian.

- Atlassian supports flexible work locations and hires globally where it has a legal entity; the Senior Partner Solutions Architect role is remote but must be located in India and reports to the International Head of Partner Solutions. - The company's mission is to empower customers with enterprise-grade, AI-enabled cloud solutions, and in this role you’ll lead the development and implementation of tailored solutions with regional partners to accelerate enterprise transformation and deliver measurable value from Atlassian’s platform and AI investments. - The Partner Solutions team comprises experts in Cloud Acceleration & Upgrades, Solution Design, and Architecture, focused on building enterprise cloud capabilities and supporting migrations and adoption. - You will drive digital transformation and AI initiatives, collaborate with partners and stakeholders in a matrix environment, articulate the value of SaaS platforms, and guide customers through secure cloud migrations while becoming a subject matter expert to support customer success. - Key duties include leading India partner capability strategy, coordinating enterprise cloud and AI programs, partnering on packaged services and GTM with Atlassian Partners, conducting capability workshops, enabling co-selling with enterprise sales, and building a coordinated capability model with cloud thought leadership.

Atlassian supports flexible work arrangements (office, remote, or hybrid) and hires in any country with a legal entity, giving employees greater control over family and personal priorities. The AI & ML Platform Team builds and runs the infrastructure underpinning Atlassian’s AI, ML, and search capabilities, with a mission to democratize AI/ML for teams, customers, and the ecosystem through user-friendly, reliable foundational tools that accelerate development, deployment, measurement, and operation. The team owns platforms for running generative LLMs, a GPU-accelerated model serving platform, data access and training infrastructure for next-generation in-house AI, and feature stores for production personalized recommendations, collaborating closely with product and search teams to deliver Atlassian Intelligence features. They are distributed across Australia, India, Singapore, and the US within the Central AI organization alongside the Search & Conversational AI teams. In this role you’ll work with leadership, technical program managers, stakeholders, and architects to influence platform direction, build and empower teams, coach and develop staff, contribute to engineering practices, and pursue thought leadership in the rapidly evolving AI space.

At Atlassian, employees can choose their work location—office, home, or a hybrid—and the company hires in any country where it has a legal entity. The AI & ML Platform Team builds and runs the infrastructure that underpins Atlassian’s AI, machine learning, and search capabilities, with a mission to democratize AI/ML by providing user-friendly, reliable foundational tools that accelerate development, deployment, measurement, and operation. The team owns infrastructure such as the platform for running advanced generative LLMs, the GPU-accelerated model serving platform, data access and training infrastructure, and feature stores for production personalization, collaborating closely with product and search teams to deliver Atlassian Intelligence features. The AI & ML Platform Team is distributed across Australia, India, Singapore, and the US and sits within the Central AI organization alongside the Search & Conversational AI teams, working with leadership, technical program managers, stakeholders, and architects to shape the platform’s direction. As a hands-on engineering leader, you’ll build and empower teams, coach individuals, contribute to engineering and operational practices, and drive continuous improvement while helping to lead thought leadership in a rapidly evolving AI space to influence the wider company.

Zendesk is seeking a Senior Product Manager in Pune to architect growth-focused product experiences that make the product the primary driver of customer acquisition, onboarding, retention, and expansion. You will own the growth roadmap, define a revenue- and retention-oriented strategy with measurable hypotheses, and deliver a best-in-class self-serve journey from sign-up to expansion. You will build the Pune PM community, establish standards for research and experimentation, and articulate a clear point of view on responsible AI usage across onboarding, workflows, and recommendations. Requirements include 8+ years in B2B SaaS product management, experience with workflow or customer/employee service products, a track record of funnel metrics and A/B testing, and strong cross-functional influence across Sales, Marketing, Customer Success, and Engineering. The role is hybrid with at least 3 days in the office, requires candidates to be physically located in Maharashtra (Karnataka or Maharashtra per posting), and Zendesk emphasizes equal opportunity, diversity and inclusion, AI screening per policy, and accommodations for disabilities.

Zendesk is hiring a Staff Data Platform Engineer (DevOps-focused) to join its newly formed Data Platform Team in Pune, building a data platform that powers advanced analytics and AI/ML integration across the Zendesk data ecosystem. The role entails leading architecture and roadmaps for end-to-end data ingestion, transformation, storage, and governance, establishing standardized data contracts, schemas, and tooling, and driving build-versus-buy evaluations to pilot new technologies. You will deliver secure, highly available data services at scale, define SLOs/SLIs, implement robust observability and incident response, and raise the engineering bar with standards for data modeling, testing, CI/CD, and infrastructure as code to improve resilience and developer experience. Basic qualifications include 10+ years of industry experience with at least 5+ years as a DevOps engineer, 4+ years building CI/CD pipelines (primarily GitHub Actions), 3+ years leading cross-team initiatives, experience with AWS, Terraform, Kubernetes/Docker, proficiency in Python/Go/Java/Scala, and strong communication skills; preferred qualifications include 3+ years building scalable data infrastructure with automation and experience with Airflow, dbt, and data governance/security practices. The role requires being physically located in Karnataka or Maharashtra with a hybrid work arrangement, and the stack includes GCP/AWS/Kubernetes/Docker/Terraform, data tools like Fivetran, Snowflake, dbt, and Airflow, plus monitoring via DataDog and MonteCarlo, along with Zendesk’s commitment to diversity and AI-assisted screening and accommodations for applicants with disabilities.

Zendesk is hiring a Staff Software Engineer to be the technical leader for the team, defining the architecture, execution strategy, and a long-term technical roadmap while building a feature-rich system to onboard, adopt, and manage Zendesk products and empower internal integrations. The ideal candidate is a self-starter who takes ownership and drives projects from start to finish, and the role is based in Pune, Maharashtra, with a requirement to work from the office at least 3 days a week; Zendesk also notes that hires must be physically located in Karnataka or Maharashtra. Day-to-day responsibilities include contributing to core code, breaking down features for incremental feedback, owning features, collaborating with tech leaders and global teams, guiding technical decisions, balancing feature delivery with tech debt, participating in pairing and code reviews, coordinating with designers and product managers, triaging customer issues, providing production support, and continuously improving observability, performance, reliability, and security while offering strategic leadership for the near to mid-term. Qualifications call for 9+ years in full-stack software engineering for enterprise-scale SaaS or large web apps, with strong proficiency in languages such as Java, Ruby, Go, Scala, TypeScript, or Node.js, plus 9+ years of JavaScript/TypeScript experience with React and Redux, solid MySQL experience, and a proven track record of delivering large-scale, resilient systems, along with excellent communication and the ability to influence without authority. The tech stack includes one of the largest Ruby on Rails codebases, MySQL and Redis data stores, occasional Go/Java services, and connections via gRPC, REST, Kafka, and GraphQL, deployed to Kubernetes with Docker and Spinnaker on AWS, and monitored with Datadog; the role features a hybrid work model, a commitment to diversity and inclusion, and accommodations for applicants with disabilities.