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Atlassian supports flexible work locations and hires globally where it has a legal entity. The role is Senior Engineering Manager to lead Atlassian’s foundational data platform, guiding team direction, architecture, and operational excellence for data powering analytics across Jira, JSM, Confluence, and products like Atlassian Analytics, the Teamwork Graph, and AI capabilities like Rovo. This high-leverage, cross-organizational position means your decisions will shape how hundreds of thousands of organizations explore, understand, and act on their data, requiring collaboration to achieve extraordinary results. Responsibilities include leading a high-performing team building and operating the data platform (streaming ingestion on Flink and/or MPP on StarRocks), owning the technical roadmap, and driving reliability, SLOs, on-call, performance, cost, and data quality/observability. You will hire, coach, and develop engineers, set engineering standards (code reviews, architecture, documentation), and manage delivery across a full-lifecycle platform with stakeholders across multiple projects.

- Atlassian offers flexible work options—office, remote, or a hybrid model—to help employees balance family, personal goals, and other priorities. - The company hires in any country where it has a legal entity, enabling global staffing. - The role involves owning the roadmap and execution for cross-cloud platform and data tooling, balancing new capabilities with platform evolution. - It includes leading, coaching, and growing a team of engineers, focusing on performance, career development, and a strong on-call and incident culture where correctness is non-negotiable. - The position requires partnering with product management and customer-facing teams, driving the technical direction for next-generation data platforms, and collaborating with partner product and infrastructure teams for strategic delivery.

Atlassian offers flexible work options, and this remote Senior Machine Learning Engineer role is located in India, joining the Responsible AI & AI Safety team to build centralized safety, content moderation, and guardrail platforms powering Atlassian Intelligence and Rovo. The role sits at the intersection of software engineering and data science, responsible for designing, training, evaluating, and deploying ML/LLM-based guardrails and moderation models (text, multimodal, and code) across Atlassian products. You’ll build robust offline and online evaluation frameworks, adversarial testing, and LLM-as-a-judge pipelines to measure precision, recall, false positives, and model robustness, while delivering real-time, low-latency safety filtering integrated with the AI Gateway. The role involves defending against emerging threats like adversarial prompts, jailbreaks, data leakage, hallucinations, and unauthorized tool-calling, and ensuring governance and regulatory compliance with audit logging and watermarking. Collaboration with teams across the USA, Australia, New Zealand, and India, along with mentoring engineers, supports Atlassian’s broader push to improve security, trust & safety, and global scale.

Atlassian offers flexible work locations, including office, home, or hybrid, to help employees support family and personal goals. They hire in any country where they have a legal entity. In Jira Service Management, the ITSM Analytics group builds the analytics platform that turns JSM data (requests, incidents, SLAs, assets, Ops/Opsgenie) into actionable insights for IT and service teams, a key competitive differentiator. The team owns the full analytics surface—Custom Metrics, JSM Insights, Operations Reports, Assets Reporting, and the JSM Summary Page—across frontend dashboards, GraphQL APIs, data pipelines, and reporting infrastructure, with high ownership and delivery through EAP to GA, emphasizing performance, scale, and data quality/observability. The role is to lead a charter-defining team building the analytics engine at the heart of Atlassian's ITSM strategy, spanning greenfield to scale, with deep expertise in data platform, GraphQL APIs, and modern React frontends, growing a multi-pod team and setting technical direction to deliver GA outcomes for enterprise customers.

Atlassian offers flexible work options—office, home, or hybrid—and hires people in any country where they have a legal entity. As a Principal Forward Deployed Engineer (FDE), you’ll be at the forefront of applied AI, working with customers and cross-functional teams to deliver AI-powered solutions. The FDE team partners with top organizations across industries to help them leverage Atlassian’s AI capabilities and drive tangible business outcomes. Responsibilities include designing, developing, and deploying AI/ML solutions, building robust integrations with Python/JavaScript, driving data-driven insights, enabling AI-augmented workflow automation, and overseeing end-to-end deployment with monitoring and improvement, while navigating risk and compliance such as GDPR. The role also involves mentoring junior engineers, communicating complex technical concepts to diverse stakeholders, and aligning technical effort with business objectives to achieve measurable results.

Atlassian offers flexible work options—office, home, or a mix—and hires in any country where Atlassian has a legal entity. They are looking for a Senior Engineer to design, build, and operate Atlassian's foundational data platform, guiding its architectural evolution and operational excellence. The platform powers data behind critical experiences across the company, from in-product analytics in Jira, JSM, and Confluence to solutions like Atlassian Analytics, the Teamwork Graph, and AI-native capabilities such as Rovo. You will design, build, and operate core data-platform components across streaming ingestion (Flink) and MPP query/serving (StarRocks), with high ownership from technical design to launch, while ensuring reliability, performance, cost efficiency, and data quality/observability in production. The role requires tackling complex architectural challenges, leading code reviews and documentation, mentoring junior engineers, and collaborating with multiple teams on initiatives spanning several projects.

Atlassian supports a distributed-first workforce, letting employees choose where to work, hire globally, and conduct virtual interviews and onboarding. It provides agile, DevOps, ITSM, and work management software—including Jira Software, Confluence, and Jira Service Management—that help teams organize, discuss, and complete shared work and are used by Fortune 500 companies and other major organizations worldwide. The Mid-Market sales team manages a portfolio of mid-sized customers, focusing on cloud-first opportunities, cross-sell and user expansion, and achieving revenue targets, while advocating for customers to product and engineering. They collaborate with Channel Partners, Product Specialists, Account Managers, and Solution Engineers, guided by Atlassian values and a team approach to deploying and utilizing Atlassian at scale. Responsibilities include developing named Account or Territory plans (India), driving growth and engagement in the mid-market, qualifying opportunities, building relationships, delivering product demonstrations, staying informed on industry trends, providing regular updates to management, and occasional travel to meet clients and attend events.

GitLab is an intelligent DevSecOps orchestration platform used by more than 50 million registered users and over half of the Fortune 100, with AI integrated as a core productivity multiplier across all teams. The Staff Software Engineer role focuses on GitLab Security, leading the data layer for vulnerability and dependency management and helping migrate from a monolith to modular services, designing ingestion, storage, indexing, and querying of security reports and integrating with key third-party systems, primarily using PostgreSQL and Ruby on Rails (with Go or Rust where appropriate). You’ll own large deliverables from idea to delivery, collaborate with product, design, frontend, and engineering partners, shape the technical and product roadmap, and stay hands-on across Rails and newer services. The role requires strong PostgreSQL expertise, experience with Ruby on Rails or Go, familiarity with large monoliths and multi-language service environments, ability to guide delivery and communicate trade-offs, and experience with security tooling or building vulnerability/dependency management products, plus openness to applying AI tooling to delivery. The team is globally distributed in the Vulnerability Management group, roles are remote with country-specific eligibility, and GitLab offers comprehensive benefits and a strong commitment to equal opportunity and inclusive hiring, along with a Recruitment Privacy Policy.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, improve operational efficiency, reduce security risk, and accelerate digital transformation, trusted by over 50 million users and many Fortune 100 companies. The company promotes AI-driven productivity and a high-performance culture where every voice is valued, offering opportunities for career acceleration and innovation. The role is Staff Software Engineer on the Authentication team, serving as the technical lead for how users, applications, tokens, and automated agents prove identity across GitLab.com, Self-Managed, and Dedicated, with plans to move authentication to GitLab’s GATE platform. You will own the technical direction for OAuth 2.0, OIDC, SAML, and token exchange; write and drive architecture decisions; lead multi-quarter migrations with backward-compatible changes; be hands-on in Ruby on Rails and Go; coordinate interfaces with GATE teams; and mentor engineers while working asynchronously across time zones. Qualifications include significant production authentication experience at scale, deep expertise in OAuth 2.0 and OIDC (including PKCE, token rotation, and JWTs), SAML and enterprise identity integration, strong Rails or Go skills, a security mindset, and multi-tenant SaaS experience; GitLab is an equal-opportunity, remote-friendly employer with location-based guidelines and a comprehensive benefits package.

GitLab describes itself as an intelligent orchestration platform for DevSecOps used by over 50 million users and many Fortune 100 companies, with a culture that embraces AI to boost productivity and innovation. The role is an Intermediate Site Reliability Engineer on the Cells Infrastructure team in Scale & Architecture, building and operating Cells that allow GitLab.com to scale horizontally and helping move customers onto Cells. Responsibilities include operating Cells in production (on-call, post-incident reviews, and corrective actions), defining SLOs for routing and cell health, and provisioning and operating cell infrastructure on AWS and GCP (Kubernetes, IAM, PostgreSQL, Redis, object storage), plus maintaining the global routing layer. You will develop infrastructure as code with Terraform, Helm, and Argo CD, improve CI/CD pipelines behind ring-based deployments, support migrations and dry runs, and collaborate with product teams to make services cell-compatible. The organization is all-remote with end-to-end ownership and AI-assisted workflows, and GitLab emphasizes equal opportunity and inclusion while offering flexible benefits and opportunities for growth.

GitLab presents itself as an intelligent orchestration platform for DevSecOps that aims to boost developer productivity, operational efficiency, security and compliance, and digital transformation, with over 50 million registered users and Fortune 100 companies trusting it, all while embracing AI as a core productivity multiplier. The Senior Backend Engineer, Development Health, will focus on making engineering systems more reliable, maintainable, and extensible by building automation, tooling, and data to surface friction and help teams ship with less friction, using GitLab’s own product at scale. Responsibilities include owning core Development Health systems end-to-end, improving automation and test coverage, partnering with engineering managers and product teams to convert workflow pain points into measurable improvements, using data to prioritize, mentoring engineers, communicating asynchronously, monitoring production, contributing to root-cause analyses, and leveraging AI agents to shape the product roadmap (with on-call support as needed). Requirements include substantial backend or tooling experience with end-to-end production ownership, strong Ruby or the ability to become productive quickly, experience with legacy codebases, comfort with CI/CD, APIs, and automation, and strong problem-solving and written communication, plus experience writing automated tests and participating in code reviews, and experience using AI coding assistants; optional experience includes Rails, engineering analytics or internal tooling, data pipelines, or agent-based workflows. The role sits within Development Health, part of Developer Experience, is all-remote and documentation-driven, and comes with benefits such as flexible PTO, ERGs, equity, parental leave, and a commitment to equal opportunity and non-discrimination across a globally remote, location-aware workforce.

GitLab is an intelligent DevSecOps platform with over 50 million users and more than half of the Fortune 100 trusting GitLab, and it emphasizes AI-driven productivity within a high-performance, inclusive culture. The role is Engineering Manager for the Authentication team in Bangalore, responsible for leading engineers who handle sign-ins for users, applications, tokens, and AI agents, with deep credibility in OAuth 2.0, OpenID Connect, and SAML, and a focus on hiring and delivering on the authentication roadmap as authentication moves to the GATE platform. Responsibilities include hiring and growing the Bangalore team, planning milestones and managing risks, turning architecture decisions into shippable increments, coordinating with GATE Core/Infra/Cells across regions, and ensuring on-call coverage, incident response for authentication issues, rate limits, and production readiness. Requirements include significant experience as an engineering manager of backend or platform teams, a background in identity/authentication/security with depth in OAuth 2.0, OIDC, SAML, and JWT, experience delivering multi-team programs on fixed dates, on-call reliability, and familiarity with Ruby on Rails or Go, plus the ability to lead a remote, asynchronous team with clear written English. The role sits within GitLab’s Security Platform, collaborating with Authentication engineers in Europe and the Americas, and GitLab offers extensive benefits (health, finances, PTO, equity, growth fund, parental leave) and a strong commitment to equal opportunity and recruitment accommodations.

The Audit Platform team delivers real-time, trustworthy visibility into every meaningful action across the Atlassian ecosystem, capturing billions of events to answer who/what/when/where/why with confidence. Their platform provides the intelligence backbone for AI and Non-Human Identity governance, Insider Risk Management, and real-time security investigations across Cloud products. Atlassian seeks a Principal Fullstack Engineer to build the platform that captures, stores, and surfaces audit events at massive scale, underpinning compliance, security investigations, and customer trust. The role requires deep expertise across frontend and backend, experience architecting and building large-scale distributed systems, and a focus on scale, performance, cost, maintainability, and extensibility, with ownership and mentorship. Responsibilities include defining architecture and roadmaps for hyper-growth, tackling the largest problems, proposing shared libraries, setting engineering standards, partnering across teams on company-wide initiatives, and growing the engineers you lead.

GitLab presents itself as an intelligent orchestration platform for DevSecOps used by 50 million-plus users and over 50% of the Fortune 100, with AI as a core productivity multiplier and a culture that values every voice and continuous knowledge exchange. The Senior Solutions Architect role on GitLab's India team is a trusted advisor to prospects, customers, and partners in the Southern Region, focusing on Commercial and Enterprise segments, GCCs, Digital Native organizations, and startups, and collaborating with Account Executives to drive adoption and revenue growth. Responsibilities include leading technical discovery, demonstrations, and evaluation processes; owning solution design and proofs of value; shaping account strategies; supporting regional go-to-market partners; and representing GitLab at events while advising on modern software development, CI/CD, security, and cloud practices. Qualifications include experience guiding Commercial/Enterprise customers through solution design and evaluation, knowledge of the end-to-end software development lifecycle and DevSecOps, hands-on experience with GitLab or similar platforms, cloud concepts, and the ability to lead PoCs, tenders, and workshops, along with strong technical communication and relationship-building skills. The role is part of GitLab's Sales organization, remote with possible location-based eligibility, and comes with benefits such as health, finances, and well-being, equity, parental leave, and a strong emphasis on equal opportunity, privacy, and inclusive recruitment practices, with encouragement to apply even if not all qualifications are met.

GitLab is an intelligent orchestration platform for DevSecOps that aims to increase developer productivity, operational efficiency, and security/compliance while accelerating digital transformation, trusted by over 50 million users and a majority of Fortune 100 companies, with AI embedded as a core productivity multiplier in daily work. The company emphasizes a high-performance culture rooted in its values and continuous knowledge exchange, where every voice is valued and collaboration with industry leaders helps solve complex problems. The role, Technical Program Manager in GitLab’s R&D organization, leads cross-functional initiatives spanning multiple product stages and engineering teams in an all-remote, asynchronous setting, using GitLab issues, epics, and handbook-first documentation to create visibility and drive progress. In year one, you’ll independently run a portfolio of programs, lead 1–3 strategic programs at a time, align stakeholders on goals and timelines, own end-to-end planning and delivery, drive asynchronous collaboration, manage risks, and track program health with metrics and dashboards while contributing to TPM best practices. You’ll need experience in technical or program management, a solid understanding of the software development lifecycle and Agile, the ability to coordinate across multiple teams, strong written communication for remote work, independence, comfort with ambiguity, familiarity with DevOps/CI/CD or GitLab-like platforms, and a willingness to learn, with GitLab supporting diverse applicants and offering remote roles with location-based guidelines and comprehensive benefits.

GitLab is an intelligent DevSecOps orchestration platform that helps organizations 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 in its culture. The Strategic Account Executive for Mumbai will lead GitLab’s growth across large BFSI institutions, enterprises, and conglomerates, guiding adoption of the AI-powered DevSecOps platform through modernization and regulatory-driven transformations while building long-term partnerships. You’ll lead and grow GitLab’s largest BFSI, enterprise, and conglomerate accounts in Mumbai, driving the full sales cycle from prospecting to close and coordinating with procurement, vendor risk, and security review processes. You’ll require deep experience in complex B2B software sales to large Indian enterprises, ideally in DevSecOps or related SaaS, with demonstrated BFSI domain knowledge, pipeline-building ability, modern software delivery understanding, and familiarity with RBI/IRDAI/SEBI data residency and audit expectations, plus comfort working remotely. GitLab offers benefits like flexible PTO, equity, growth fund, parental leave, and an all-remote culture, along with an equal opportunity and affirmative action policy, while noting location-based eligibility and recruitment privacy.

GitLab describes itself as the intelligent orchestration platform for DevSecOps that increases developer productivity, improves operational efficiency, reduces security and compliance risk, and accelerates digital transformation, with 50M+ registered users and more than half of the Fortune 100 relying on it, and it treats AI as a core productivity multiplier. The company emphasizes a high-performance, values-driven culture that is remote-first, inclusive, and dedicated to continuous knowledge exchange, empowering every voice and enabling team members to reach their potential while solving complex problems. The Staff Backend Engineer role provides cross-team technical leadership, shepherding large, cross-cutting backend initiatives, driving modular architecture, modernizing monoliths, setting standards for APIs and production practices, and leading AI adoption with guardrails and production ownership. Candidates should bring cross-team technical leadership, deep backend architecture experience, production modernization of monoliths toward modular systems, ability to influence without formal authority, product judgment, mentorship, and agentic AI leadership, with experience in Go, Kubernetes, Rust, PostgreSQL, and security-focused engineering. GitLab offers benefits such as flexible PTO, equity compensation, parental leave, and a Growth and Development Fund, supports global remote roles with location-based eligibility, and maintains an equal opportunity, non-discrimination policy with recruitment privacy details.

GitLab is an AI-enabled DevSecOps platform trusted by over 50 million users and more than half of the Fortune 100, with a culture that treats AI as a core productivity multiplier. The Observability, Monitoring, and Integrations team seeks a Staff Backend Engineer (grade 8) for the Fulfillment Workflow Monitoring (Catch All) greenfield project to build telemetry, detection, and reconciliation tooling across CustomersDot, Salesforce, and Zuora to protect revenue and customer experience. You’ll design, build, and operate observability (metrics, logs, traces) with Prometheus and Grafana, implement automated anomaly detection, develop data integrity checks, define SLOs/SLIs, participate in incident response, and explore AI/ML to accelerate resolution, including on-call involvement. Requirements include professional Ruby on Rails expertise (e.g., CustomersDot), site reliability/observability experience, familiarity with Prometheus, Grafana, OpenTelemetry, data stores such as ClickHouse, and knowledge of change data capture pipelines like NATS JetStream; experience with Python or billing systems like Zuora/Salesforce is a plus. The role sits in GitLab’s Monetization group, which emphasizes asynchronous work and cross-functional collaboration; GitLab offers remote worldwide positions, benefits, equity, and growth opportunities, and provides a recruitment privacy policy and strong EEO commitments, encouraging applicants from diverse backgrounds.

GitLab presents itself as an intelligent DevSecOps orchestration platform trusted by millions of users and more than half of the Fortune 100, with AI embedded as a core productivity multiplier. The Staff SRE (Environment Automation) role focuses on operating and automating hundreds of GitLab environments at scale, ensuring they remain secure, consistent, and reliable. Responsibilities include designing automation with Terraform, Ansible, and Kubernetes; building deployment packages; deploying dedicated GitLab instances; enhancing observability; leading incident response; and collaborating with engineering teams to improve automation and production readiness. Requirements emphasize production-scale, multi-tenant experience; strong Terraform IaC mastery; production Kubernetes expertise; Go and/or Ruby coding ability; and on-call experience. The role is within GitLab’s Dedicated team delivering fully managed, single-tenant GitLab experiences, and GitLab offers remote roles with flexible benefits and a strong commitment to equal opportunity and accommodation for candidates from diverse backgrounds.

GitLab is an intelligent DevSecOps orchestration platform with over 50 million users and broad Fortune 100 trust, embedding AI as a core productivity multiplier in its culture. The Staff Data Analyst will turn raw data into actionable insights for GitLab's global Support Engineering, designing dashboards, reports, and data models to monitor performance, optimize costs, and improve customer outcomes while leading AI adoption and ROI measurement. Responsibilities include annual operating plan and capacity planning through data modeling, building utilization and performance scorecards with real-time alerts, analyzing support economics and product quality costs, and partnering on predictive analytics to identify at-risk customers. Qualifications include experience in a BI/analytics role in SaaS/tech, SQL fluency, dashboarding in Zendesk Explore/Tableau/Looker, the ability to translate business questions into analytical frameworks, and the capability to work remotely across time zones (with potential bonus experience in AI/ML workflows). The role is part of an all-remote team with collaboration across Support Engineering, go-to-market, Business Operations, and Product Engineering, and GitLab emphasizes inclusive hiring, comprehensive benefits, and equal opportunity with robust EEO policies.

GitLab is an intelligent DevSecOps platform used by millions, trusted by Fortune 100 companies, and it champions AI as a core productivity multiplier, a remote‑first culture, and an inclusive environment where every voice is valued. As a Staff Backend Engineer, you’ll provide technical leadership across multiple teams, drive modular architecture and platform modernization, define standards for APIs, security, testing, and operability, and participate in on‑call incidents to drive continuous improvement. You’ll lead cross‑cutting backend initiatives, own architecture strategy, shape technical direction without formal authority, mentor engineers, and spearhead AI adoption with safety, privacy, and quality guardrails. The role requires deep backend expertise in complex systems, experience modernizing monoliths toward modular components, and the ability to influence across teams, with hands-on skills in Go, Kubernetes, Rust, Ruby on Rails, PostgreSQL, and security‑aware software supply chains. GitLab offers benefits such as flexible PTO, a stock purchase plan, equity, a Growth and Development Fund, parental leave, remote worldwide hiring with location-based eligibility, and a commitment to equal opportunity, encouraging applicants who may not meet every requirement to apply.

GitLab is the intelligent orchestration platform for DevSecOps used by more than 50 million registered users and trusted by over 50% of the Fortune 100, with a culture that embraces AI as a core productivity multiplier and values every voice. The Software Delivery: Release team works with Site Reliability Engineers to guarantee the release process, building automation, release features, and scalable tooling to deliver high-quality releases across SaaS multi-tenant, self-managed, and SaaS single-tenant environments. Core responsibilities include defining and implementing release frameworks, communicating schedules, instrumenting code for observability, identifying bottlenecks, and participating in on-call or release-manager rotations. Ideal candidates have strong coding experience (Ruby or Go, with Ruby willingness; Ruby on Rails knowledge not mandatory), experience with large-scale systems and CD/CI pipelines, interest in cloud/container/Infrastructure as Code, a collaborative, product-focused mindset, and we welcome applicants with varying levels of experience. GitLab offers flexible PTO, equity, a Growth and Development Fund, parental leave, and a fully remote, globally inclusive workplace with equal opportunity policies, location-based guidelines, and accommodations, plus performance indicators like Mean Time to Production to measure delivery velocity.

GitLab is the intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, operational efficiency, security and compliance, and accelerate digital transformation, with over 50 million registered users and significant Fortune 100 adoption, while treating AI as a core productivity multiplier across all roles. The role of Support Engineer sits at the intersection of Support and Engineering, where you’ll work with customers to solve edge-case issues by digging into Linux systems, logs, and GitLab’s Ruby on Rails codebase, reproduce bugs, and contribute merge requests to fix root causes, while improving documentation and support processes. In your first year you’ll gain deep expertise across GitLab deployments (self-managed and GitLab.com SaaS) and help create tools and content that make support more efficient, such as automated Omnibus checks, state capture tooling, and interactive log-table utilities. You’ll act as an escalation point for difficult interactions, mentor teammates, advocate for better support practices and product quality, collaborate with Product, Development, Infrastructure, Customer Success, and Sales to shape roadmaps, and participate in on-call rotations and hiring. The team is globally distributed and works asynchronously, with remote roles and transparent operations; GitLab offers flexible benefits, equity, growth opportunities, and parental leave, and is an equal opportunity employer that welcomes applicants from diverse backgrounds while supporting privacy, location-based eligibility, and accommodations for disabilities.

GitLab positions itself as an AI-powered DevSecOps platform that boosts developer productivity, operational efficiency, and security to accelerate digital transformation, trusted by over 50 million users and many Fortune 100 companies, with AI embedded in daily workflows and a high-performance culture. The role is Senior Solutions Architect on GitLab's India team for the Commercial and Enterprise segments in the Southern Region, serving as a trusted advisor to prospects, customers, and partners and collaborating with Account Executives to address GCCs, Digital Native firms, and startups. Responsibilities include leading technical discovery, design, and validations; owning the technical evaluation process (proofs of value, workshops, tenders); shaping account strategies; supporting regional Professional Services partners; representing GitLab at events; building relationships; and advising on modern software development, CI/CD, security, and cloud practices while feeding feedback to Product Management and Engineering. Qualifications include experience guiding Commercial/Enterprise customers through solution design and evaluation in presales or similar roles; knowledge of DevSecOps and CI/CD; hands-on experience with GitLab or similar platforms; cloud deployment, security, and operations awareness; ability to lead PoCs and workshops; and strong technical communication and relationship-building skills, with GCC/digital native/startup experience valued. The team is part of GitLab's Sales organization serving India's Southern Region, collaborating with cross-functional teams to help customers modernize software delivery and adopt GitLab at scale; GitLab offers remote, globally-hired roles with a range of benefits and a strong equal opportunity and disability accommodation policy.

GitLab is an intelligent DevSecOps orchestration platform trusted by over 50 million users and more than half of the Fortune 100, leveraging AI to boost productivity, innovation, and security. The role is Senior Backend Engineer on the Authentication team, building authentication features across the Rails monolith and GATE, a new service for issuing and validating tokens and managing identities across all GitLab deployment models, including AI agents. Key projects include building GATE as the centralized token issuance/validation service, consolidating tokens from the monolith, implementing passkeys and passwordless authentication, developing composite identities for AI, and enhancing SAML, LDAP, OpenID Connect, and SCIM capabilities for automated provisioning and single sign-on, while improving security tooling and addressing vulnerabilities reported through HackerOne. You will shape GATE’s roadmap, design and implement token issuance/validation and identity services in Go and Ruby, migrate authentication paths from the monolith to GATE, build new mechanisms such as Workload Identity Federation, and participate in on-call as needed while upholding high-scale engineering standards. We seek candidates with Go and/or Ruby experience in scaling mission-critical SaaS, familiarity with OAuth/OIDC/SAML/SSO/SCIM/LDAP/JWT/RBAC/IAM, knowledge of token systems and cryptographic signing, and strong communication in a largely remote environment, with GitLab offering remote, globally available roles, comprehensive benefits, and an inclusive, equal-opportunity hiring process.

GitLab presents itself as an 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 Fortune 100 companies, with AI integrated as a core productivity multiplier for the team. It is hiring a Senior Release Engineer to design, standardize, and operate enterprise CI/CD pipelines for platforms like Salesforce and Zuora, enabling safe, rapid releases with strong governance and cross-team collaboration. The role requires building pipelines, automating with Python, establishing environment and deployment strategies, implementing quality gates and audit trails, improving release observability, troubleshooting issues, and coaching teams on CI/CD practices, with mandatory daily use of AI-assisted tools such as Claude. Qualifications include 7+ years in release engineering or DevOps, experience releasing enterprise SaaS like Salesforce/Zuora, strong GitLab CI/CD skills, Python scripting, and demonstrated use of AI-assisted development tools, plus strong cross-functional collaboration and API/integration knowledge. GitLab offers remote, worldwide roles with benefits like flexible PTO, equity, parental leave, and an inclusive EEO policy, and encourages applicants from diverse backgrounds while providing privacy and location-based eligibility information.

GitLab presents itself as the intelligent orchestration platform for DevSecOps, trusted by over 50 million users and a majority of the Fortune 100, with a culture that treats AI as a core productivity multiplier and values high performance and inclusive collaboration. The Senior Product Manager for Data Integrations will help GitLab’s analytics and AI agents see beyond the data in GitLab by deciding which external systems connect to the Data Insights Platform and Orbit and by integrating data from code, merge requests, pipelines, deployments, and vulnerabilities. You’ll set integration priorities based on customer evidence, map external data into GitLab’s shared data models, define customer problems and user groups, partner with engineering, translate decisions into a clear backlog, and define telemetry and adoption signals to steer priorities and pricing as the product area matures. Qualifications include product management experience aligned with customer needs, strong knowledge of the DevOps ecosystem, understanding of data integration and ETL (not required to be a data engineer), comfort using AI tools for prototyping, and strong communication and collaboration skills; prior integration products or data models experience is helpful but not required. The role is part of GitLab’s Core Data Products team, reporting to the VP of Product Management as the third PM for Data Integrations, with GitLab being all-remote and Bangalore-based, offering benefits such as flexible PTO, equity, growth fund, parental leave, and a commitment to equal opportunity and inclusive hiring.

GitLab is an intelligent orchestration platform for DevSecOps that boosts developer productivity, operational efficiency, and security, trusted by millions and many Fortune 100 companies, with AI embedded as a core productivity multiplier in its culture. The role, Senior Manager, Total Rewards Operations, India, will lead a small local team supporting GitLab’s global benefits and compensation operations, translating global priorities into dependable local execution across regions and time zones while coaching the team and upholding quality standards. You’ll oversee day-to-day responsibilities for the Benefits Analyst and Senior Total Rewards Operations Analyst, prioritize global benefits and compensation operations, manage market-data workflows and audits, establish quality controls and confidentiality, monitor deadlines and risks, coordinate with global program owners and People Technology, and apply AI tools responsibly to improve processes. Requirements include experience in Total Rewards, benefits, or compensation operations in a global organization, demonstrated people-management ability, a track record of delivering accurate work on multiple deadlines, strong written and stakeholder communication, and proficiency with spreadsheets and HR systems; experience with a distributed workforce or benefits vendors is helpful but not required, and AI fluency to improve Total Rewards work is expected. GitLab supports remote, global employment with benefits like flexible PTO, ERGs, equity plans, growth funds, and parental leave, and emphasizes equal opportunity and non-discrimination, while inviting candidates from diverse backgrounds to apply even if they do not meet every qualification, with a recruitment privacy policy outlining how data is handled.

GitLab is an intelligent orchestration platform for DevSecOps that aims to boost developer productivity, operational efficiency, and security, with over 50 million users and Fortune 100 trust, and a culture that integrates AI into daily work. The APJ Ecosystem team builds the partner motion and India is a strategic market; the Scale Ecosystem Sales Manager, India will scale GitLab’s partner business across hyperscalers, large India-centric SIs, and born-in-the-cloud/AI-native partners. The role is a senior individual-contributor focused on new logo acquisition, owning strategic partner relationships, hyperscaler management (AWS/GCP), and driving partner-sourced pipeline and revenue while collaborating with the India sales team. Requirements include 15+ years in channel/partner management, a strong network among India’s SIs and cloud partners, experience with hyperscalers’ marketplaces, and fluency in Hindi and English, with location in Mumbai or Delhi. GitLab offers various benefits, remote work, and a commitment to equal opportunity and inclusion, inviting applicants from diverse backgrounds.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, operational efficiency, security and compliance, and accelerate digital transformation, with over 50 million registered users and trust from more than half of the Fortune 100. The company embeds AI as a core productivity multiplier and expects all team members to incorporate AI into daily workflows to drive efficiency and innovation. The Senior Backend Engineer role involves designing, implementing, and evolving backend capabilities across product boundaries, shaping architecture for a high-scale global platform, and collaborating across product, frontend, infrastructure, data, and security teams, including AI integration. Candidates should have deep backend expertise, adaptability, architectural judgment, influence, and agentic AI experience, with helpful background in areas like distributed systems, Kubernetes, and database performance. GitLab offers remote-first work, benefits, growth opportunities, and a strong commitment to equal opportunity and inclusive policies, with worldwide hiring and location-based eligibility considerations.

GitLab is an intelligent DevSecOps orchestration platform that aims to boost developer productivity, operational efficiency, security and compliance, and digital transformation, trusted by more than 50 million users and over half of the Fortune 100. AI is treated as a core productivity multiplier across the company, with all team members expected to incorporate AI into their daily workflows. The Senior Backend Engineer role sits in the Cloud Cost and Capacity capability, building internal software to understand, attribute, and plan GitLab.com's cloud infrastructure by turning Google Cloud billing and usage data into pipelines, models, and applications. Responsibilities include creating data pipelines from GCP exports and Cloud Monitoring telemetry into BigQuery, attributing shared costs across GKE clusters using OpenCost and cost allocation, developing capacity and demand tooling for reservation planning, shipping internal apps to replace manual processes, and collaborating with Finance, product teams, service owners, and infrastructure engineers, with optional on-call support. Requirements include a track record of end-to-end backend service design, strong SQL and data pipeline/model skills with large datasets and cloud billing data, familiarity with Google Cloud (compute, Kubernetes, billing), proficiency in Go or Python (Ruby is used elsewhere in GitLab), and effective remote, asynchronous communication, with GitLab emphasizing global remote roles, inclusive hiring, flexible benefits, and equal opportunity.

GitLab is an intelligent orchestration platform for DevSecOps that aims to boost developer productivity, operational efficiency, and security, trusted by over 50 million users and many Fortune 100 companies, and it promotes AI as a core productivity multiplier. The Assigned Support Engineer role is to be a trusted technical advisor to GitLab’s largest Self-managed, GitLab Dedicated, and GitLab.com customers, using deep Linux, GitLab/CI/CD knowledge, and proactive support to prevent disruptions. Responsibilities include providing technical support, troubleshooting complex issues with tools like strace and logs, building proactive relationships with customer stakeholders, collaborating to drive bug fixes and roadmap input, and creating knowledge content for teams. Required background includes end-to-end experience with complex customer cases, advanced troubleshooting, strong Linux administration, GitLab/CI/CD experience, scripting ability, and effective communication, with familiarity in DevOps/Kubernetes. The team is fully distributed across regions, values transparency and collaboration, offers comprehensive benefits, and GitLab is an equal opportunity employer committed to merit-based hiring and accommodation for disabilities.

GitLab is an intelligent orchestration platform for DevSecOps that boosts developer productivity, operational efficiency, security, and digital transformation, trusted by over 50 million users and many Fortune 100 companies. 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 from scope to launch, work with executive leaders, coordinate distributed teams across time zones, manage risks, and translate strategy into clear roadmaps and communications. Candidates should have a proven track record delivering complex SaaS/DevOps programs, the ability to operate in ambiguity, strong cross-functional leadership and executive stakeholder engagement, and a collaborative leadership style aligned with GitLab's values. The Technical Program Management team is all-remote across North America and Europe, offering flexible benefits, equity, growth opportunities, and an inclusive, equal-opportunity environment with location guidelines and privacy/recruitment policy considerations.

GitLab positions itself as the intelligent orchestration platform for DevSecOps, aiming to boost developer productivity, operational efficiency, security and compliance, and 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 role, a People Systems Engineer, reports to the Senior Director of People Technology and will design, build, and maintain automations and AI-powered workflows connecting Workday, Greenhouse, Slack, and other tools across Workato, Google Cloud, and Claude, owning features from design through deployment. You’ll develop integrations between Workday, Greenhouse, Slack and internal tools (WWS and Slack API), write clean automation code in Ruby or similar, monitor integration health, and ship changes through GitLab CI/CD following testing, change-management, and SOX ITGC standards, while leading with AI to accelerate development and reimagine how People work gets done. Required qualifications include hands-on automation/integration experience (ideally with HR or business systems), proficiency in Ruby or Python/JavaScript, experience with an iPaaS like Workato, API/Web services expertise, Git for version control, and an AI-forward mindset; additional relevant experience with Workday, Slack, GCP/AWS, Docker/Kubernetes, and building with LLMs or MCP frameworks is a plus. The team, People Technology, builds the systems foundation for GitLab’s all-remote global company, and GitLab offers benefits such as flexible PTO, equity, parental leave, and inclusion-focused policies, while upholding equal opportunity employment, recruitment privacy, and location-based eligibility guidelines.

GitLab is hiring a Data Engineer to build, run, and maintain ELT pipelines and the data platform that ingests data from enterprise applications, internal systems, and GitLab’s SaaS to power reporting, data science, and AI self-service. It’s an AI-first role where you’ll use AI coding agents daily while upholding high standards for code review and testing, reporting to the Director of Data Platform. You’ll develop pipelines from Salesforce, Zuora, Zendesk, and Marketo, integrate data via APIs and event sources like Snowplow, and manage infrastructure including Snowflake, Fivetran, Monte Carlo, Airflow, and Kubernetes, writing Python and SQL and reviewing merge requests. You’ll own day-to-day platform operations, implement data quality checks and data contracts, apply RBAC and masking for governed data, handle SOX/MNPI/personal data, and collaborate with Analytics Engineers, Data Analysts, Data Scientists, and Data Governance. The Data Platform team is fully remote and globally distributed, focusing on reliable, secure analytics-ready data, with GitLab offering a broad benefits package and a commitment to equal opportunity and accommodations.

GitLab is an intelligent orchestration platform for DevSecOps used by over 50 million registered users and more than half of the Fortune 100, with AI treated as a core productivity multiplier across the company. The role of Intermediate Backend Engineer on the Security Factory: Code Scanning team involves contributing to GitLab’s static analysis engine to help developers find and fix security issues, spanning both the engine itself and the tools used to evaluate its findings. You’ll extend the program model (parsing, symbol resolution, intermediate representations, call graphs, taint and data-flow) to support new languages, build AI-assisted tooling, measure detection quality, and develop SAST rules mapped to CWE and OWASP with test fixtures. Requirements include experience using AI/LLMs to generate or evaluate technical content, production-grade Rust or Go code experience, an interest in static analysis and application security, and the ability to work independently in a remote, largely asynchronous environment; helpful but not required are performance optimization, Docker/CI/CD, web or mobile frameworks, or contributions to open source. The team is remote and asynchronous, and GitLab emphasizes growth, equal opportunity, comprehensive benefits, and a welcoming stance toward candidates with varying levels of experience, along with a commitment to non-discrimination 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, with more than 50 million registered users and trust from over half of the Fortune 100. AI is embedded as a core productivity multiplier across the company, and all team members are expected to incorporate AI into daily workflows to drive efficiency, innovation, and impact, within a high-performance, values-driven culture. The Intermediate Backend Engineer role involves taking backend features from problem clarification through delivery and production, collaborating with product management, frontend, infrastructure, and security to ensure quality, security, performance, and maintainability in a remote, asynchronous environment. Responsibilities include owning and shipping features in Ruby/Rails, Go, or other modern languages; designing APIs, background jobs, and data models; writing automated tests; operating and debugging in production; and leveraging AI productively while validating its outputs. Requirements include strong backend fundamentals, adaptability across languages, feature ownership, practical judgment on security and reliability, clear written communication in a remote setting, and AI fluency, with preferred experience in production Go services, Docker/Kubernetes, Rust, PostgreSQL, and observability, plus GitLab's commitment to equal opportunity and global remote hiring.

GitLab presents itself as an intelligent orchestration platform for DevSecOps that aims to boost developer productivity, improve operational efficiency, reduce security risk, and accelerate digital transformation, with a large user base and trust from many Fortune 100 companies, and a culture that treats AI as a core productivity multiplier. The Software Engineer on the Authorization team will help build and maintain the system that determines what every user, token, and automated agent can access across GitLab’s products, working with Ruby on Rails and moving toward a new authorization stack that pairs the Rails monolith with a Rust policy engine. Key projects include refactoring the policy layer for unified evaluation between the monolith and the new service, and extending fine-grained token permissions to more resources while ensuring correctness and performance under high volumes of permission checks. Candidates should have 2–4+ years of production Ruby on Rails experience, knowledge of RBAC or fine-grained permissions, a security mindset, and experience with incremental refactors and feature-flag rollouts, with familiarity in GraphQL or API authorization patterns; Rust or related experience is a plus. The team operates asynchronously, GitLab emphasizes collaboration and AI-enabled daily workflows, and the company offers comprehensive benefits and remote-first hiring globally with an explicit commitment to equal opportunity and accessibility.

GitLab is an intelligent orchestration platform for DevSecOps that boosts developer productivity, operational efficiency, security and compliance, and digital transformation, trusted by 50 million users and many Fortune 100 companies, with AI treated as a core productivity multiplier across the team. The Engineering Manager, Production Engineering - Observability will lead a globally distributed team that builds and operates the metrics, logging, alerting, and capacity planning platforms used to observe GitLab.com and GitLab Dedicated, balancing reliability, scale, and cost. In the first year, the role will drive improvements to Prometheus-based metrics pipelines, log ingestion and retention, SLO-driven alerting, and capacity forecasting, while collaborating with Site Reliability Engineering, Product Engineering, and other Infrastructure Platforms teams and participating in incident response. Requirements include experience leading observability or SRE teams at scale, knowledge of Prometheus and logging systems, experience with SLOs and capacity forecasts, production SaaS experience, and incident coordination, with a note that AI experience is welcome and diverse path backgrounds are encouraged. The role is part of Production Engineering within Infrastructure Platforms, supports remote work with global hiring guidelines, and offers benefits such as PTO, equity, a Growth and Development Fund, and parental leave, along with a strong commitment to equal opportunity, non-discrimination, privacy, and accommodation.

GitLab presents itself as an intelligent orchestration platform for DevSecOps that boosts developer productivity, efficiency, security, and digital transformation, with AI serving as a core productivity multiplier in a high-performance, knowledge-sharing culture. The role is Director of Support Engineering for GitLab’s Bengaluru Center of Support, reporting to the VP of Support Engineering, tasked with building and managing the India-based regional hub as a strategic peer to other regional hubs and delivering enterprise-grade technical support across Asia-Pacific and EMEA time zones. Responsibilities include designing the Bengaluru hub’s organizational structure, establishing management rhythms and escalation frameworks, overseeing hiring and retention with Talent Acquisition, developing managers and engineers, owning performance against SLAs and global KPIs, and implementing local escalation workflows and the AI toolchain in collaboration with global teams. The ideal candidate has experience leading technical support or a similar customer-facing function, scaling a global delivery hub, knowledge of enterprise SaaS support models, experience with AI-assisted tooling, DevSecOps, Kubernetes or cloud-native infrastructure, and familiarity with relevant support platforms; prior GitLab usage is a plus. The team is globally distributed, emphasizes collaboration and asynchronous work, and GitLab highlights equal opportunity employment, remote work, location-based eligibility, comprehensive benefits, and privacy-conscious recruitment practices.

GitLab is an intelligent DevSecOps orchestration platform that leverages AI as a core productivity multiplier and promotes a high‑performance, values‑driven culture trusted by over 50 million users and more than half of the Fortune 100. The role, a Benefits Analyst on GitLab’s Total Rewards team, is based in Bangalore, India, and involves supporting global benefits administration with a focus on India, partnering with a Senior Benefits Analyst, and hosting benefits events at the Bangalore hub while collaborating across time zones including Pacific time. You will manage day-to-day benefits operations (eligibility, enrollment, onboarding, billing, reporting, audits, QA), review data for discrepancies, coordinate with brokers and vendors on renewals and launches, and document processes while pursuing simplification and automation, including responsible use of AI tools. Requirements include experience supporting multi-country benefits administration, familiarity with HRIS/benefits platforms (Workday preferred), strong Excel/Sheets skills, the ability to explain benefits clearly, and the capacity to be based in Bangalore with flexible travel and cross-time-zone collaboration. GitLab emphasizes equal opportunity and inclusive hiring, lists country-based hiring guidelines and a Recruitment Privacy Policy, and notes it welcomes applicants with varying levels of experience while using tools like Workday, Google Workspace, Slack, and Claude to support the role.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity, enabling Atlassians to balance family, personal goals, and priorities. As a Senior Principal Forward Deployed Engineer (FDE), you'll be at the forefront of applied AI, working directly with customers and cross-functional teams to deliver AI-powered solutions and shape the future of AI-powered teamwork. This high-visibility, high-impact role involves collaborating with product, engineering, and design to rapidly grow technical and domain expertise while delivering tangible business outcomes. You’ll code across the Atlassian product suite, lead the design, development, and deployment of AI/ML-powered solutions using Rovo for customer needs, and architect integrations with Python, JavaScript, and APIs for enterprise-scale systems. You’ll influence product direction with customers, champion AI-augmented workflow automation, oversee end-to-end deployment with continuous evaluation and improvement, navigate risk and compliance including data privacy and regulatory frameworks, mentor other engineers, and communicate complex technical concepts clearly to stakeholders while aligning technical solutions with business objectives.

The mission is to power trusted cross-product knowledge search across Atlassian’s products, and they’re seeking a product-minded ML systems leader with deep expertise in applied ML and production ML infrastructure. As a Senior Machine Learning Systems Engineer, you’ll operate at the intersection of search, ML and experimentation and work with cross-functional teams to deliver ML-powered solutions that impact millions of customers. Your responsibilities include collaborating to solve problems from technical design to launch, building POC systems and evolving them into reliable, scalable services, and contributing to best practices in model deployment, monitoring, and evaluation while shipping end-to-end innovations with ML engineers, backend developers, and product teams. You’ll develop robust feature engineering pipelines for offline training and online inference at scale, deploy ranking models to optimize user experience and business objectives, and create tools and infrastructure to support rapid experimentation and deployment while optimizing latency, throughput, and resource efficiency for search workloads. The role also involves transferring your depth of knowledge from your current language to excel as a Software Engineer, communicating complex technical concepts to both technical and non-technical stakeholders, delivering code reviews and documentation, and mentoring junior members.

The Managed Services Consultant role supports Zendesk subscription customers by configuring solutions, consulting on best practices, and acting as an extension of their teams to help them adopt, expand, optimize, and maintain Zendesk products across regions (USA/LATAM, EMEA, APAC). Responsibilities include maintaining knowledge across the Zendesk product line, managing a backlog for a portfolio, providing proactive guidance, collaborating with a global team to gather requirements and prioritize tasks, conducting detailed account reviews, and designing, testing, and deploying complex production configuration updates. Qualifications: 3-6 years in professional consulting or customer success, Zendesk experience a plus, background in SQL/Python scripting, familiarity with Excel/Tableau/Power BI, strong communication and problem-solving, attention to detail, ability to work independently, and willingness to work in shifts; German/French/Spanish language skills are a plus. Location and work setup: Zendesk can hire only candidates physically located in Karnataka or Maharashtra; hybrid work requires some in-office presence with the exact schedule determined by the hiring manager. Zendesk is an equal opportunity employer committed to diversity, equity, and inclusion, may use AI or automated screening in hiring, and provides accommodations for applicants with disabilities upon request.

The role is a Managed Shared Services Consultant within Zendesk's Managed Services, acting as an extension of customers’ teams to adopt, expand, optimize, and maintain Zendesk products with design and configuration guidance plus hands-on support. Responsibilities include maintaining product expertise, handling a backlog for a customer portfolio, providing proactive guidance, collaborating with Managed Services Consultants across regions to gather requirements and prioritize tasks, and designing, testing, and rolling out complex production configuration updates. Requirements include 6-12 years of professional consulting or customer success experience in a client-facing role, Zendesk or CX industry experience preferred, SQL/Python scripting, familiarity with analytics tools (Excel/Tableau/Power BI), strong communication, multilingual skills a plus, attention to detail, ability to work independently on multiple initiatives, and willingness to work shifts; candidates must be physically located in Karnataka or Maharashtra. The role uses a hybrid work model with a local office presence required part of the week, while allowing remote work part of the week, with the specific in-office schedule determined by the hiring manager. Zendesk states it is an equal opportunity employer, may use AI or automated screening per company guidelines, and offers accommodations for applicants with disabilities, underscoring a commitment to diversity, equity, and inclusion.

The role is a Managed Services Consultant on Zendesk's Managed Services team, helping customers adopt, expand, optimize, and maintain Zendesk products as their businesses grow, serving as an extension of their teams with design, configuration guidance, and hands-on support. You will configure Zendesk solutions, analyze current configurations for optimizations, investigate options to address requests, implement production updates, and collaborate with a global team to ensure ongoing value for customers across regions. Key activities include maintaining product knowledge, managing a backlog for your customer portfolio, providing proactive guidance, conducting detailed account reviews and configuration analyses, and designing/testing/rolling out complex configuration updates while contributing to process improvements. Basic qualifications include 3-6 years in consulting or customer success, Zendesk experience a bonus, SQL/Python scripting, experience with analytical tools, strong problem-solving and communication skills, and the ability to work independently and manage multiple initiatives, with German/French/Spanish language skills as a plus and flexibility to work shifts. Location and workplace details note that Zendesk can only hire candidates located in Karnataka or Maharashtra, with a hybrid model requiring some in-office presence, and the company also mentions AI screening and a commitment to equal opportunity and accommodations.

We are seeking a reliability expert to join our growing Site Reliability Engineering (SRE) teams and help scale Cloud services. The ideal candidate stays current with industry reliability trends, values working with diverse partners, can articulate the business impact of problems, and can dive deep into technical solutions. They should bring a deep understanding of modern Cloud infrastructure, programming expertise, operational experience, and a drive to change the status quo. The engineer will analyze and improve services and processes to reach higher levels of reliability, performance, scalability, and cost efficiency by crossing team and functional boundaries and advocating for reliability methodologies across platform, product, and SRE teams. Ultimately, they will be the driving force for change and will report to a regional Senior Engineering Manager in SRE.

At Atlassian, you can work remotely, from an office, or in a hybrid setup as part of a distributed-first “TEAM anywhere” approach, with global hiring and virtual interviews/onboarding. The Senior Software Engineer role focuses on designing, building, and optimizing high-performance, scalable, and fault-tolerant backend storage solutions on AWS to power mission-critical applications. Responsibilities include developing distributed storage systems, APIs, and backend services, collaborating with principal engineers, architects, SREs, and product teams to define roadmaps, improve storage efficiency, optimize access patterns, and drive performance tuning and cost optimization across AWS services like S3, DynamoDB, EBS, EFS, FSx, and Glacier. You will contribute to infrastructure automation, security best practices, and monitoring using Terraform, CloudWatch, Prometheus, and OpenTelemetry, and you’ll troubleshoot production incidents to ensure high availability and disaster recovery. The role also entails mentoring junior engineers, participating in design reviews, and advocating for CI/CD, infrastructure as code, and observability-driven development to scale storage infrastructure securely and reliably.

Atlassian offers flexible work options—office, remote, or hybrid—through TEAM anywhere, with interviews and onboarding conducted virtually for a globally distributed workforce. As a Senior Software Engineer, you will design, build, and optimize high-performance, scalable, and resilient backend storage on AWS, developing distributed storage systems, APIs, and services that provide low-latency, high-throughput, and fault-tolerant data storage. You will collaborate with principal engineers, architects, SREs, and product teams to define technical roadmaps, improve storage efficiency, and optimize access patterns, driving performance tuning, data modeling, caching strategies, and cost optimization across AWS storage services like S3, DynamoDB, EBS, EFS, FSx, and Glacier. You will contribute to infrastructure automation, security practices, and monitoring using Terraform, CloudWatch, Prometheus, and OpenTelemetry, and be responsible for troubleshooting production incidents related to data integrity, latency spikes, and storage failures to ensure high availability and disaster recovery. You will mentor junior engineers, participate in design reviews and architectural discussions, and advocate for CI/CD automation, infrastructure as code, and observability-driven development, with your work directly enabling scalable storage infrastructure while maintaining security, reliability, and compliance.

- Atlassian supports flexible work arrangements, allowing employees to work in an office, from home, or a mix, and hires globally where it has a legal entity, with virtual interviews and onboarding as part of being distributed-first. - The Product Security team is geographically distributed (USA, Australia, India) and provides security consulting, risk identification, and mitigation across all products, recognizing product security as both a customer necessity and a competitive edge, while maturing security within Atlassian’s engineering-focused, autonomous teams at scale. - The Principal Security Engineer, Cloud Security is the technical architect driving architecture and vision across cloud platforms, infrastructure, and the software supply chain, defining secure-by-default standards and guardrails, leading cross-organizational initiatives, and mentoring senior engineers to ensure security, reliability, and trust for 300,000+ customers. - The Principal Product Security Engineer, Cloud Security defines the multi-cloud security architecture (AWS, GCP, Azure), leads advanced threat modeling, automates security controls and guardrails in CI/CD and IaC, directs CSPM strategy, and serves as the cloud security authority during high-severity incidents while influencing executives. - Candidates should have 10+ years of security engineering experience with deep cloud security, multi-cloud (AWS/GCP/Azure) and container orchestration, experience with highly regulated environments (Isolated, Private, FedRAMP), strong programming in Python/Go/Java/JavaScript, and a proven ability to automate security, implement policy-as-code, and mentor across teams.

Zendesk is hiring a Security Operations Engineer to join its Cyber Security team, responsible for monitoring, investigating, and responding to security threats across enterprise infrastructure, product offerings, and client environments, including threat hunting, incident response, cloud security, DLP investigations, and automation improvements. The role is hybrid and based in Pune, with the requirement that candidates must be physically located and plan to work from Karnataka or Maharashtra, and the in-office schedule is set by the hiring manager. Key duties include serving as primary incident responder, analyzing SIEM/SOAR data, conducting threat hunts, supporting regulatory inquiries, leading tabletop exercises, building automated workflows, and collaborating with Threat Intelligence and Security Engineering teams. Candidates should have 7+ years in cybersecurity/SOC, strong analytical and communication skills, experience with SIEM/SOAR and cloud security, and relevant certifications; hands-on automation and AI-enabled security capabilities are highly desirable. Zendesk emphasizes an AI-first approach and equal opportunity employment, highlights diversity and inclusion, notes that AI may be used to screen applications, and offers accommodations for applicants with disabilities.

Zendesk is hiring a Professional Services Resource Manager (P-10) who partners with delivery leaders and internal teams to ensure the right people are assigned to the right projects at the right time, while leveraging AI and automation to simplify project creation and resource assignment. You will manage the services pipeline, validate project scope and staffing requirements with sales and delivery, create and maintain projects in the PSA platform, coordinate resource assignments, improve allocation decisions using capacity and demand data, and support capacity planning and utilization processes. You will advance AI-enabled workflows, identify opportunities to automate tasks such as preparing project records and matching skills to roles, and test and refine AI-driven solutions across integrations with tools like Salesforce, Certinia, Snowflake, Streamlit, and Gainsight. Basic qualifications include 2–4 years of resource management or project coordination experience, PSA experience (Certinia preferred), hands-on use of generative AI tools, and a track record of process improvement and cross-team collaboration; preferred qualifications include familiarity with JSON and Python, APIs, Excel and systems like SFDC, Snowflake, Streamlit, or Gainsight. The role is location-restricted to Karnataka or Maharashtra with a hybrid work model, and Zendesk emphasizes equal opportunity, diversity, and accommodations for applicants with disabilities, noting that AI may be used to screen applications.

Zendesk is hiring a Data Migration Technical Architect in Pune, India to document and execute customer data transformations into and out of Zendesk, consulting with external business leaders and working with a cross-functional global team. Responsibilities include understanding and documenting customer requirements, mapping data structures to Zendesk, managing migrations from start to finish, collaborating with developers, forecasting resources, and becoming a domain expert in Zendesk Platform Data Services. Requirements include a Bachelor of Computer Engineering with 8+ years of data migration architecture experience, strong customer-facing experience, proficiency in Python, SQL, RESTful/JSON APIs, ETL and data transformations, and excellent communication and organizational skills; nice-to-have items include project management experience, Professional Services experience, Zendesk configuration and App Framework knowledge, SSO capabilities, and Zendesk certifications. Location and work style: Zendesk can hire only candidates located in Karnataka or Maharashtra, and the role is hybrid with in-office attendance required part-time, schedule determined by the hiring manager. Zendesk emphasizes its mission, fairness, inclusion, and equal opportunity employment, noting that AI may be used to screen applicants and that accommodations are available for applicants with disabilities.

Atlassians can work anywhere (office, home, or a mix) and hiring is allowed in any country with a legal entity, giving flexibility to support personal goals. The Senior Engineering Manager will partner with design, product management, and architecture to shape product direction and plan steps to achieve it. They are responsible for building and empowering teams, coaching individuals' development, and challenging them to grow, while also contributing to engineering and operational practices with a continuous improvement mindset. The future team aims for a world-class, empowered engineering organization within a unified R&D effort, focused on cloud migration and delivering value across Jira, Confluence, Trello, and Bitbucket. Responsibilities include leading 2-3 scrum teams (12-20 people), mentoring several principal engineers, driving business and technical outcomes, and maintaining engineering and operational excellence in a complex, globally dependent, ambiguity-rich environment.

As a Principal Data Scientist at Atlassian, you will partner with business leads on high-impact analytics, strategy, and operations and turn data into visualizations that power leadership decisions. Atlassians can choose to work in-office, from home, or in a hybrid model, and the company hires in any country where it has a legal entity. You will collaborate with cross-functional partners, apply quantitative analysis, experimentation, and data storytelling to develop strategies and solve key business challenges, focusing on developing hypotheses through various methodologies and frameworks. You will define, understand, and test opportunities to improve the products and the business, influencing roadmaps through insights and recommendations and partnering with teams to inform, influence, and execute strategic decisions. You will forecast and monitor key product metrics to measure success, shape product development, quantify opportunities, and communicate insights broadly to leadership using storytelling techniques.

- Atlassian offers flexible work options, allowing employees to work in an office, from home, or in a hybrid setup to support personal priorities. - They hire people in any country where there is a legal entity. - The role involves owning the technical evolution and long-term architecture and leading the largest architectural initiatives. - It includes defining and driving a 12–24 month roadmap for shared platform primitives, identifying gaps, and making clear trade-offs on priorities while raising standards for reliability, performance, observability, security, and operational excellence across systems handling critical enterprise data. - The position provides hands-on technical leadership through design reviews, deep investigations, incident reviews, and high-risk problem solving, while mentoring Principal and senior engineers.

Atlassian offers flexible work options—office, home, or a mix—and hires in any country with a legal entity. The Data Platform Engineer will build and operate Atlassian’s foundational data platform for high-scale distributed data systems powering analytics across Jira, JSM, Confluence, Atlassian Analytics, TWG, and AI capabilities like Rovo. The role involves building and owning components across streaming ingestion (Flink) and MPP query/serving (StarRocks) alongside senior engineers, delivering high-quality code from design to deployment and taking ownership of features and bug fixes. You’ll participate in operating production-grade data platform systems, including on-call duties, debugging, and tuning for performance and data quality, as well as code reviews and clear documentation. Collaboration with teams and ongoing learning to deepen expertise in distributed data systems are emphasized to deliver reliable, performant data infrastructure.

Zendesk is seeking a Senior Staff Frontend Engineer for the Admin Experience to turn the vision into a scalable frontend strategy and partner with Product, Design, and Engineering to reimagine admin journeys. You will own end-to-end frontend execution, lead cross-team initiatives, establish reusable patterns, and advance performance, accessibility, testing, observability, and developer experience, while building and maintaining CI/CD pipelines (Jenkins, GitHub Actions, Spinnaker). The role requires 15+ years of software engineering with deep frontend product development experience, strong skills in JavaScript/TypeScript, React, GraphQL, API integration, frontend architecture, and the ability to translate ambiguous goals into pragmatic plans. Nice to have: leading AI-first transformations, enterprise SaaS, AI interaction patterns; location is Karnataka or Maharashtra with a hybrid arrangement requiring some in-office presence. Zendesk emphasizes fairness and inclusivity, with possible use of AI screening per policy, and provides accommodations for applicants and employees as an equal opportunity employer.

Jira Platform Vision is to make Jira the trusted, agent-native system of record and control plane for human and agent teamwork at enterprise scale, driven by AI Transformation, Enterprise Readiness, and Efficiency. AI Transformation aims to make Jira the agent-native system of record for human+AI teamwork; Enterprise Readiness leverages Project Ascend to bring the world’s largest and most demanding enterprises into the Cloud; Efficiency focuses on sound unit economics, developer productivity, and world-class reliability. Jira Scalable Issue Search (JSIS) is a foundational investment moving structured searches from a database-backed engine to OpenSearch, handling about 3 billion requests per day with a multi-tenant, distributed architecture and a team of 50 engineers across India and Europe. The long-term opportunity extends beyond search to federated search across Jira portfolios and Atlassian products, and JSIS will underpin higher request volumes from agentic APIs, turning architectural migration into a strategic advantage. The team will own the technical evolution and long-term architecture, lead major platform initiatives, define a 12–24 month roadmap focusing on data movement, governance, resiliency, and data health, and provide hands-on technical leadership and mentorship while raising standards for reliability and operational excellence.

Atlassian's software helps teams plan, track, and collaborate, and their Audit Platform and Guard provide security and data-governance controls to maintain a secure, compliant posture at scale. By protecting sensitive data, upholding governance standards, and managing risk, Guard enables leaders to safely accelerate AI adoption and new ways of working. They are looking for a Mobile Engineer to bring security and audit experiences to mobile by building native iOS apps for monitoring activity, investigating issues, and staying in control remotely. Responsibilities include designing, developing, and shipping iOS features in Swift; translating UX/UI designs into accessible interfaces; optimizing performance; ensuring reliability through crash monitoring and robust error handling; collaborating with backend, platform, and web teams to maintain feature parity; and handling sensitive data with built-in security and privacy. The role also emphasizes high test coverage (unit, integration, and UI tests), code reviews, and potential contributions to Atlassian's frontend web stack when needed.

Atlassian's Audit Platform and Guard provide the security and data-governance layer that helps admins maintain a secure, compliant posture at scale. Guard helps security and IT teams protect sensitive data, uphold governance standards, and manage risk, enabling leaders to safely accelerate AI adoption and new ways of working. They are looking for a Mobile Engineer to bring these security and audit experiences to mobile by building native Android apps that let customers monitor activity, investigate issues, and stay in control from anywhere. Responsibilities include building end-to-end features from design through testing, rollout, and production support; partnering with backend, platform, and product teams for cohesive experiences; and handling sensitive data with security and privacy built in from the start. Additional focus areas include improving app performance and reliability, enhancing the mobile developer experience, and occasionally contributing to Atlassian's frontend web stack when needed.

- Atlassian offers flexible work options, but this role requires being located in India to coordinate with teams in India, Australia, and the United States. - The Senior Engineering Manager will lead the TDP Insights and ADR engineering teams, responsible for people, strategy, execution, and operational outcomes, collaborating with storage, streaming, infrastructure, security, and product teams. - TDP provides secure, scalable data capabilities with data residency, encryption, compliance, backup/recovery, and multi-cloud operation; TDP Insights turns telemetry into actionable insights about data location, movement, cost, reliability, and usage; ADR offers common backup/restore capabilities and recovery validation. - Responsibilities include building an inclusive, high-performing distributed team across India and Australia, translating enterprise and customer requirements into a roadmap, surfacing risks early, and establishing clear ownership across TDP Insights, ADR, and partner teams. - The role encompasses cross-functional leadership with product, security, compliance, reliability, infrastructure, and FinOps, managing cost posture and investment trade-offs to prioritize customer trust and sustainable platform value.

As a Technical Account Manager at Zendesk, you'll be an extension of our largest customers' teams, bridging technical expertise with business acumen to guide value realization from Zendesk solutions by understanding strategy, advising on implementation approaches, and creating technical solutions to business problems. Core responsibilities include establishing relationships at all client levels, documenting CX/EX ecosystems, developing tailored Customer Technical Roadmaps, conducting regular operational reviews, orchestrating Zendesk resources, creating critical issue resolution plans, advocating for customer needs with product teams, and collaborating with other TAMs for continuous improvement. Required qualifications include 10+ years of technical experience (at least 5 in enterprise environments), knowledge of Zendesk products and environments, a proven track record driving technical initiatives, experience in service management and customer/employee experience management, superior communication across organizational levels, SaaS/API/workflow understanding, and deep expertise in at least one industry vertical. What you bring to the role includes strategic vision to identify opportunities, the ability to translate business objectives into technical roadmaps, skills to deliver measurable ROI, forward-thinking leadership to align multiple stakeholders, and continuous self-development. Zendesk emphasizes a collaborative, hybrid work culture with strong benefits, and eligibility is limited to candidates based in Karnataka or Maharashtra as specified; the company notes AI screening may be used and remains an equal opportunity employer that provides reasonable accommodations for applicants with disabilities.

Atlassians can choose where they work—office, home, or a hybrid—giving them flexibility to support family and personal goals, and Atlassian hires people in any country where it has a legal entity. Jira Platform Search powers the foundational search backend for the Jira product suite, handling billions of requests daily within a large multi-tenant architecture, and is undergoing a multi-year transformation to boost performance, elasticity, and high-availability at scale. The Jira Platform Search Team is seeking a Principal Software Engineer to architect and lead high-scale search initiatives, decomposing core monolith services into modern microservices that can serve billions of daily requests across a global cloud. Responsibilities include end-to-end delivery from architectural design to production launch, defining roadmaps and execution strategies, and driving architectural excellence, engineering quality, resilience, and standardized review practices. The role emphasizes cross-functional alignment, domain expertise, rapid mastery of new tech stacks, and mentoring and developing engineering talent to elevate technical rigor and team growth.

- Atlassian offers flexible work options—office, remote, or a mix—and hires in any country with a legal entity to support employees’ family, personal goals, and priorities. - Data is central to Atlassian; billions of events are ingested monthly into the analytics platform, with dozens of teams relying on it to drive critical decisions. - The company also builds and maintains an analytical and operational data store to enable teams to make informed decisions on trusted data and services. - They are seeking a Senior Data Engineering Manager to join the growing Finance Data Engineering team within the Data Engineering department to democratize data and build data products. - Key responsibilities include leading and developing a team of data engineers, providing deep technical expertise in data engineering, driving engineering excellence and process improvements, and collaborating with cross-functional teams such as Business, Data Science, and Analytics Platform to foster a collaborative culture.

Atlassian offers flexible work arrangements (office, home, or hybrid) and hires globally wherever there’s a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. The Mid-Market Manager India role leads a team focused on acquiring and managing mid-market customers in India, with remote work or a Bengaluru office option, and involves developing tailored strategies and nurturing key accounts. Key responsibilities include leading the mid-market account-executive team, expanding Asia-focused mid-market market share, elevating the Atlassian brand through executive engagement and events, analyzing data for growth, managing key client relationships and negotiations, mentoring and performance management, recruiting and onboarding, cross-functional collaboration, and reporting to senior management. The candidate should have sales experience as both an individual contributor and a manager with customers in India, a track record of hitting targets, and experience building multi-country sales strategies while considering APAC economics and cultural nuances, plus knowledge of Atlassian solutions in India due to regulatory and language factors, and proficiency with CRM, pipeline management, analytics, and value/solution selling. They should be motivated to challenge the traditional sales model, thrive in a fast-paced international environment, take initiative, and enjoy sharing learnings with the team.

Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires in any country where it has a legal entity. The company is seeking a Principal Data Engineer to join the Data Engineering Team as a tech lead and architect to build scalable data solutions and drive a data-driven culture. Responsibilities include owning the technical evolution of data engineering, delivering incrementally, ensuring data quality, addressing performance, scale, security, and mentoring a team while coordinating with cross-functional partners. The role requires setting technical direction, balancing customer and business needs with long-term maintainability and scale, defining problems, architecting solutions, and leading a multi-functional team with close collaboration to other departments. Qualifications include 12+ years as a Data Engineer with at least 2 years as a tech lead, experience with streaming pipelines, SQL/Spark/Redshift, Airflow, AWS data services (or Apache projects), Databricks, MDM, and a streaming-first mindset; knowledge of Kappa/Lambda architectures and related data platforms is a plus, with compensation described as competitive.

The Senior Demo Platform Architect will own the development, maintenance, and continuous improvement of shared demo environments and reusable CX use cases, combining hands-on technical expertise in contact center technologies (Zendesk, Amazon Connect, and AWS) with strong operational ownership to keep environments reliable, current, scalable, and ready for internal and occasional customer-facing engagements. Key responsibilities include owning the demo platform, designing end-to-end demos that showcase CX, AI, automation, and analytics; designing and maintaining integrations between Zendesk, Connect, AWS and other systems; supporting custom demos for presales; tracking product releases and incorporating new capabilities; driving automation, governance, security, and cost management; producing technical documentation and collateral; and engaging with vendors and partners. Qualifications call for a Bachelor’s or Master’s degree (or equivalent), 8–10 years in solution/platform engineering with at least 5 years in contact center technologies (Amazon Connect and Zendesk preferred), strong experience with AWS services, and demonstrated ability to develop reusable demos and maintain shared environments, plus leadership, communication, problem-solving, and independent execution; Python and/or NodeJS experience is a plus. Preferred qualifications include Zendesk certifications or AWS Solutions Architect, experience in omnichannel contact centers, and Agile/DevOps experience with customer-facing demonstration work; location restrictions state Zendesk can hire only from Karnataka or Maharashtra, per the posted requisition. Zendesk emphasizes a hybrid work model and a commitment to equal opportunity and inclusion, notes that AI-based screening may be used in hiring, and offers accommodations for disabilities via a designated contact.

Zendesk seeks a seasoned product manager to lead AI-augmented product experiences, focusing on the notifications platform for agents and admins to improve customer service metrics. The role involves defining strategy, vision, and a roadmap, working with 130k+ customers to identify bottlenecks and design scalable, AI-driven solutions, while collaborating cross-functionally with engineering, design, data science, marketing, and program management. Key responsibilities include delivering inspiring product leadership, building 0-1 functionality, articulating roadmaps based on customer needs and market trends, driving KPIs around delivery and satisfaction, and fostering a culture of product excellence and customer-centricity. Qualifications include a bachelor’s degree in CS or related field, 5+ years in product management with a track record launching AI products in B2B SaaS, strong technical acumen, leadership, communication, and analytical skills, and the ability to interface with customers and cross-functional teams. The role is hybrid with a location restriction (must be based in Karnataka or Maharashtra, India), and Zendesk emphasizes equal opportunity and accommodations, including AI-driven screening in the application process.

Atlassian offers flexible work arrangements (office, remote, or a mix) and hires in any country where it has a legal entity. They are seeking a Principal Data Engineer to join the Data Engineering Team as a tech lead and architect, building world-class data solutions that power crucial business decisions. The role calls for an open-minded, structured thinker who can enable a world-class engineering practice, define how data is used, and develop backend systems and data models to serve insights while fostering a data-driven culture. You will own the technical evolution of data engineering, deliver solutions incrementally, ensure outcomes are met, escalate risks and issues promptly, and maintain high data quality with attention to performance, scale, and security. You will coordinate and mentor a team of data engineers, collaborate with counterparts across other departments in a multi-functional setting, and help grow the team and Atlassian’s data-driven culture.

The role is a Principal Data Scientist at Atlassian focused on Service Collection, using analytics, data science and AI/ML to identify opportunities and influence the initiative's roadmap. It calls for superb business instincts, comfort with executive stakeholders, proficiency in statistical analyses, AI/LLM expertise, cross-functional collaboration, and mentoring junior data scientists. Atlassian offers flexible work options (office, home, or hybrid) and can hire in any country where it has a legal entity. Responsibilities include influencing strategy around Service Collection by blending end-to-end business acumen with advanced data science, defining and reporting department-level KRs for the R&D team, and building measurement frameworks and models to accelerate growth and influence the product roadmap. The role also entails envisioning, scoping, and leading high-impact projects with Engineering, Product Management and Design, Data Engineering and Research & Insights teams, and fostering a world-class Data Science culture through training and mentoring.

Atlassian is seeking a Principal Data Scientist to uncover valuable insights from large data sets to improve products and influence the Service Collection roadmap using analytics, data science, and AI/ML. The ideal candidate brings superb business instincts, comfort with executive stakeholders, statistical analysis expertise, AI/LLM proficiency, cross-functional collaboration experience, and mentoring ability for junior data scientists. Responsibilities include influencing strategy and major decisions for Service Collection by blending end-to-end business acumen with advanced data science methodologies. Additional duties involve defining, reporting on department-level key results for the Service Collection R&D team, building measurement frameworks and models, and leading high-impact projects with Engineering, Product Management, Design, Data Engineering, and Insights teams to accelerate growth and shape the product roadmap. Atlassian offers flexible work arrangements (office, remote, or hybrid) and can hire in any country where they have a legal entity.

This role is a Technical Account Manager based in Pune, required to work night shifts aligned with AMER hours, acting as an extension of the largest customers’ teams to translate business strategy into Zendesk-driven technical solutions rather than performing implementations. Core responsibilities include establishing relationships at all levels, documenting CX/EX ecosystems (use cases, workflows, configurations, integrations, and technical architecture), developing and leading tailored Customer Technical Roadmaps, and conducting regular reviews (weekly, monthly, quarterly) while orchestrating Zendesk resources to support implementations. You’ll create critical issue resolution plans, advocate for customer needs with Zendesk product teams, and collaborate with other TAMs to ensure continuous improvement and global delivery excellence. Required qualifications include knowledge of Zendesk products and environments, 10+ years of technical experience (at least 5 in enterprise settings), a proven track record of driving technical initiatives, service management and CX/EX experience, strong customer-facing leadership, superior cross-level communication, and expertise in SaaS, API use cases, and logic-based workflows, with deep experience in at least one industry vertical. Zendesk offers a collaborative, growth-oriented environment with meaningful impact on client outcomes, but candidates must be located in Karnataka or Maharashtra; the company is an AA/EEO/Veterans/Disabled employer that may use AI screening and will provide accommodations on request.

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.

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.

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 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.