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Atlassians can choose where they work—whether in an office, from home, or a combination of the two. This flexibility helps them support their family, personal goals, and other priorities. Atlassian hires people in any country where the company has a legal entity. From day one, you’ll be a valued member of the development team, trusted to work on projects that directly impact our products and to gain deep technical knowledge across the full product lifecycle. You’ll report to Senior Engineers, dream up and code new features that can be shipped straight into our products.

- Atlassian offers flexible work arrangements, allowing office, remote, or hybrid work to support personal priorities. - They hire people in any country where Atlassian has a legal entity. - The role is a senior engineering leadership position leading a global team of 50+ engineers. - Responsibilities include setting strategy, goals, and execution roadmaps, owning OKRs, working with triad partners (product management, design leaders, and others), growing great leaders, providing technical stewardship, structuring the organization to support strategy, translating strategy into funded execution plans, and navigating dependencies with other Atlassian teams. - As a platform-focused role, there’s a strong emphasis on collaboration with other platform and product teams and making win/win roadmap trade-offs, with a focus on enterprise-level delivery as Atlassian expands in that market.

GitLab positions itself as the intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, with AI embedded as a core productivity multiplier and over 50 million users and more than half of the Fortune 100 trusting GitLab. The company describes a high-performance, values-driven culture that emphasizes continuous knowledge exchange where every voice is valued and careers accelerate as innovation flourishes. The Staff Security Engineer role on the Infrastructure Security Team within Product Security provides technical leadership across GitLab’s infrastructure security topics, including SaaS platforms and Self-Managed offerings, by defining the technical direction and driving hands-on work across partner engineering teams. Responsibilities include setting architectural patterns and foundational security automation, leading comprehensive security reviews and threat modeling, shaping AI-assisted security engineering approaches, translating architectural tradeoffs for engineering and leadership, mentoring engineers, and aligning work with business objectives to deliver secure infrastructure. Requirements include expert cloud infrastructure security across AWS/GCP/Azure, Kubernetes, proficiency in Go/Python/Ruby, extensive IaC security and policy-as-code experience, hands-on AI in security workflows, a track record of leading multi-team initiatives, strong communication skills, familiarity with security standards, and a note that GitLab welcomes applicants with varying levels of experience and is an equal opportunity, remote-friendly employer with location-based eligibility and comprehensive benefits.

GitLab is an intelligent orchestration platform for DevSecOps used by over 50 million registered users and trusted by more than half of the Fortune 100, with AI integrated as a core productivity multiplier across the company. The Manager/Senior Manager, Cell Infrastructure role reports to the VP Engineering, Platform Scale & Architecture and leads a 0-to-1 effort to design and build the control layer that provisions, places, and operates GitLab cells across multiple clouds to enable horizontal scale, reliability, and cost efficiency. In the first year, you’ll establish the technical direction for multi-cloud cell infrastructure, grow the team, and create an operational model for reliability, developer enablement, and cost visibility, while partnering with teams like Git infrastructure, Artifact Registry, Duo Agent Platform, and CI/CD to support scaling. Key responsibilities include leading the design and delivery of multi-cloud cell placement/orchestration, owning on-call and incident response, driving cost visibility and optimization, and shaping architectural decisions for cross-cloud routing, data residency, and portability, plus building tooling that lets teams deploy on top of cell infrastructure. The ideal candidate brings hands-on experience with distributed systems and cell-based architectures, SRE/on-call practices, leadership in distributed teams, ability to hire and develop engineers, comfort with ambiguity, and strong cross-functional communication with VP/CTO-level stakeholders; GitLab emphasizes equal opportunity, remote roles, flexible benefits, and a culture that values diversity and inclusion.

Zendesk requires candidates to be physically located in Karnataka or Maharashtra and to plan to work from that location, per the requisition. The role uses a hybrid work model with in-office presence part of the week, and the exact schedule is determined by the hiring manager. Zendesk describes itself as the intelligent heart of customer experience, powering billions of brand conversations and aiming to provide a fulfilling, inclusive workplace. The company may use AI or automated decision systems to screen applications and is an equal opportunity employer committed to diversity, equity, and inclusion, with accommodations available under applicable law. Applicants seeking accommodations can email peopleandplaces@zendesk.com with their request, and US-based applicants can access information about EEO rights.

SmartBear delivers application integrity for modern tech stacks, offering deep test automation, API lifecycle management, and observability, with governance to operate at AI speed and scale across the SDLC. It is trusted by more than 16 million developers across 32,000 organizations—including 75% of the largest financial institutions—with brands such as Swagger, TestComplete, Reflect, QMetry, and Zephyr. SmartBear promotes a collaborative open-source community and invites customers to learn more at smartbear.com and on LinkedIn, X, and Reddit. The Junior QA Automation Engineer role focuses on solving business problems through automated testing, requiring 3–4+ years of experience, Java/Selenium, API testing, Agile methodologies, and CI tools. The company emphasizes a people-centric, inclusive culture with opportunities for growth, international offices, and a commitment to ethical practices and diversity.

Atlassian supports flexible work locations—office, home, or a mix—and hires in any country where it has a legal entity. The future team is the Search Platform, which powers Rovo Search and aims to make all customer data across Atlassian and external apps searchable securely, quickly, and at enterprise scale. As a Senior Principal Engineer in Search Platform, you will own the technical roadmap and outcomes for the Search Data pillar, building a platform to ingest, process, index and search massive unstructured data from 100+ sources. The role requires deep expertise in large-scale data platforms, streaming and batch processing, and distributed systems, and involves leading engineers, making architectural trade-offs, modernizing legacy systems, and delivering an end-to-end search experience. Responsibilities include defining strategy, driving real-time freshness and AI/agentic retrieval, ensuring simplicity and operability, owning key metrics, boosting developer productivity, fostering ownership and safe rollouts, and mentoring engineers to sustain an open, innovative, and responsible team.

Atlassian offers flexible work locations—office, from home, or a mix—and hires in any country where we have a legal entity. The Search Platform team powers Rovo Search and aims to make all Atlassian data and data from external apps searchable securely, quickly, and at an enterprise scale. As a Senior Principal Engineer in Search Platform, you will own the technical roadmap for the Search Data pillar and help envision, build, and evolve a platform that ingests, processes, indexes, and searches massive unstructured data across 100+ sources. You will lead other engineers, define strategic direction, and own outcomes from design to launch, driving step-change initiatives and choosing which problems to solve to deliver a world-class end-to-end search experience powered by fresh and reliable data. Responsibilities include collaborating on strategy and architecture, modernizing legacy data processing, designing understandable and operable systems, establishing patterns for messy real-world data, owning operational health and metrics, improving developer productivity, championing high ownership and data-driven engineering, and mentoring hires to foster an innovative, responsible culture.

Atlassian offers flexible work locations (office, remote, or hybrid) and hires in any country with a legal entity, allowing employees to balance family, personal goals, and priorities. The AI & ML Platform Team builds and runs the infrastructure underpinning Atlassian’s AI, ML, and search capabilities, with a mission to democratize AI/ML for teams, customers, and the ecosystem. They own platforms for running advanced generative LLMs and other models, a GPU-accelerated model serving platform, data access and training infrastructure, and feature stores for production personalized recommendations, among other capabilities. The team collaborates closely with product and search stakeholders to deliver Atlassian Intelligence features to customers in a rapidly evolving space. Distributed across Australia, India, Singapore, and the US within Central AI, the team’s leadership focuses on building and coaching high-performing teams, contributing to engineering practices, and driving continuous improvement, with opportunities for thought leadership in shaping how the company uses the platform.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where it has a legal entity, to support employees’ family and personal goals. The AI & ML Platform Team builds and runs the infrastructure that underpins Atlassian’s AI, ML, and search capabilities, with a mission to democratize AI/ML for teams, customers, and the ecosystem. The team owns platforms for running generative LLMs and other models, GPU-accelerated model serving, data access and training infrastructure, feature stores for production recommendations, and related capabilities, working closely with product and search stakeholders. The team is distributed across Australia, India, Singapore, and the US within the Central AI organization alongside Search & Conversational AI, collaborating with leadership, technical program managers, stakeholders, and architects to set direction and execution. The role emphasizes building and coaching effective teams, supporting professional development, contributing to engineering and operational practices, and pursuing thought leadership in the rapidly evolving AI space.

Atlassian supports flexible work locations (office, home, or hybrid) and hires in any country with a legal entity, with design focused on clarity, connection, and joy through a unified, AI-enabled product experience. In Jira Service Management, the goal is to reimagine service management for helpseekers and service agents, making it easy to get help across channels and enabling AI-assisted workflows. They are looking for a Design Manager to shape this future across service management and extend these experiences into the wider Atlassian suite, in a fast-moving environment with scalable, high-quality craft. The role requires strong business sense, customer empathy, and the ability to translate customer problems into measurable business impact, leading a team spanning India and Australia in close partnership with Product, Engineering, Research, and Content Design. Responsibilities include setting a clear design vision for IT Services, shaping AI features across Rovo and JSM, collaborating with cross-functional teams to ship thoughtful work, recruiting and mentoring a diverse team, building inclusive rituals and strong written communication, driving AI adoption in daily practice, delivering multiple initiatives from idea to launch with defined customer outcomes and business impact, and communicating plans clearly to teammates, peers, and senior leadership.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, with over 50 million registered users and trust from more than half of the Fortune 100. AI is embedded as a core productivity multiplier across the team, and all members are expected to incorporate AI into daily workflows to drive efficiency, innovation, and impact. The Staff Fullstack Engineer - Data Products role will build GitLab's in-product insights atop the Data Insights Platform and Knowledge Graph, serving as the technical anchor for reporting dashboards, inbound graph ingestion, and outbound data delivery across GitLab.com, Dedicated, and Self-Managed environments. Key responsibilities include architecting ingestion and modeling of data into the Knowledge Graph, integrating with external systems like Jira, observability tools, Zendesk, and ServiceNow, designing a Data Marketplace for Snowflake, Databricks, and BigQuery, publishing observability data as OpenTelemetry, and ensuring operational readiness while mentoring other engineers. Candidates with varying levels of experience are welcome, and GitLab encourages applying even if not all requirements are met; the company supports remote global hiring, offers benefits, and is committed to equal opportunity and an inclusive, high-performance culture.

GitLab is an intelligent DevSecOps orchestration platform trusted by more than 50 million users and over half of the Fortune 100, with AI embedded as a core productivity multiplier in its high-performance culture. The Ecosystem Solutions Architect role is to be a trusted advisor to GitLab's partners, shaping partner activation plans, delivering technical assets like demos and reference architectures, and owning the direct technical activation as the DRI, with a focus on integrating GSIs. Requirements include being India-based (Bangalore, Mumbai, or Delhi), senior-level pre-sales/solutions architect experience, proficiency across the software development lifecycle and DevSecOps/CI-CD, hands-on GitLab or similar, and experience working with or leading India-based GSIs and partner-facing activities. Nice-to-haves include an existing GSI network, cloud marketplace familiarity, and deeper expertise in GitLab, AI, Kubernetes, IaC, or application security, with broader APAC GSI delivery coverage. GitLab offers flexible PTO, equity plans, development funds, parental leave, remote roles, and is an equal opportunity employer with a recruitment/privacy policy, encouraging applicants of varying experience to apply.

GitLab positions itself as an intelligent DevSecOps orchestration platform trusted by 50 million users and many Fortune 100 companies, with a culture that embraces AI as a productivity multiplier and values every voice. In the Senior Backend Engineer - Platform Insights role, you’ll design, build, and evolve Go-based backend services for the Data Insights Platform and Siphon, own substantial parts of the backend architecture, and drive production readiness and deployment across GitLab’s SaaS, Dedicated, and Self-Managed environments, including the gRPC integration with the Rails app. You’ll work on data ingestion, storage, querying, replication, buffering, and query-focused patterns using components like NATS and ClickHouse, contribute to API surfaces used by GitLab products, and debug complex distributed systems to improve performance and observability. Required qualifications include strong Go backend experience, designing scalable, high-throughput data systems, API/service integration with gRPC, experience with data platforms and ClickHouse, familiarity with Ruby on Rails or the ability to ramp up quickly, and strong reliability, observability, and deployment skills, plus cross-team collaboration. The Foundations team builds the core data platform (Data Insights Platform, Siphon, and the Query API) that underpins products like GitLab Orbit, while GitLab offers benefits such as flexible PTO, equity, parental leave, remote global hiring, and a strong equal opportunity policy with accommodations for disabilities.

GitLab is an intelligent DevSecOps orchestration platform used by more than 50 million registered users and trusted by a large portion of the Fortune 100, with a focus on AI as a core productivity multiplier and rapid, secure software delivery. The role of Manager, Engineering, Git & Gitaly Operations leads the team responsible for the Git infrastructure layer under GitLab—Git itself, Gitaly, and the services that enable Git at enterprise scale—across Self-Managed, GitLab Dedicated, and SaaS deployments. Responsibilities include building and leading a team with deep Git/Gitaly expertise, owning production reliability, driving incident management and postmortems, designing cross-model service models, maintaining cloud-agnostic tooling, and shaping the elastic storage and compute strategy for Git repositories. Required qualifications include strong Git internals knowledge, solid distributed systems fundamentals, experience running production infrastructure across multiple deployment models, and people management, with direct experience in Gitaly, libgit2, or JGit considered advantageous. GitLab emphasizes an inclusive, high-performance culture with remote global hiring, competitive benefits, and equal opportunity employment, encouraging applicants from underrepresented groups to apply even if they don’t meet every qualification.

GitLab is an intelligent orchestration platform for DevSecOps trusted by over 50 million users and many Fortune 100 companies, aimed at boosting developer productivity, operational efficiency, security, and digital transformation, with AI embedded as a core productivity multiplier across the team. The culture emphasizes a high-performance, values-driven environment where every voice is valued, continuous knowledge exchange, and collaboration with industry leaders to solve problems, inviting people to co-create the future. The Intermediate Fullstack Engineer - Data Products role is a hands-on product engineering position spanning frontend, backend, APIs, and AI-enabled workflows, focusing on ingesting, modeling, and syncing data into a knowledge graph and delivering dashboards like DORA metrics and lifecycle insights. Required skills include deep production experience with Go, Ruby, and Node; data platforms like ClickHouse; building AI-powered features; operating multi-tenant SaaS; and the role works across three Data Products surfaces: Dashboard & Reporting Framework, Internal Ingestion, External Ingestion. GitLab supports remote full-time roles worldwide with benefits, equity, growth funds, and parental leave, along with an inclusive recruitment policy that welcomes applicants who may not meet every requirement and a strong commitment to equal opportunity and privacy.

GitLab positions itself as an intelligent orchestration platform for DevSecOps that aims to boost developer productivity, operational efficiency, security/compliance, and digital transformation, trusted by over 50 million users and a majority of Fortune 100 companies. The company treats AI as a core productivity multiplier and expects all team members to integrate AI into their daily workflows to drive efficiency, innovation, and impact. The Intermediate Backend Engineer, Analytics Instrumentation role is part of the Data Engineering and Monetization group and focuses on building a unified data infrastructure that consolidates analytics instrumentation across GitLab, replacing the complexity of multiple language SDKs with a single solution. You’ll build and maintain a data collection platform using Go, Kubernetes, ClickHouse, and NATS, improve instrumentation data quality and billing accuracy, support usage billing and incident response, and collaborate with product and data teams to drive adoption and reliability. The Analytics Instrumentation team is distributed and privacy-conscious, enabling data-driven decision making, and GitLab emphasizes remote, worldwide hiring with flexible benefits and a strong equal opportunity policy.

GitLab frames itself as an intelligent orchestration platform for DevSecOps that boosts developer productivity, operational efficiency, security and compliance, and digital transformation, with AI embedded as a core productivity multiplier across teams. The Director, Engineering, Platform Operations & Productivity role oversees three functions—Git & Gitaly Operations, Nonlinear Productivity (Friction Elimination), and Platform Staff—building a small, senior, AI-native Platform Staff team and owning outcomes across all three. Responsibilities include setting the technical bar, creating operating rhythms and metrics for predictable delivery, reviewing distributed systems designs and crisis management plans, and representing the functions to peers and customers, including stepping in during mid-crisis engagements. Candidates should have hands-on distributed systems design and delivery experience, a track record of effective engineering operations at scale, measurable productivity improvements, familiarity with AI-assisted development tools, and multi-manager leadership across infrastructure, productivity, and crisis response. GitLab offers remote, worldwide opportunities with benefits, equity, growth funding, and a strong commitment to equal opportunity and inclusion, inviting candidates from diverse backgrounds even if they don’t meet every qualification.

Atlassians can choose where they work—office, from home, or a blend—and the company hires in any country where it has a legal entity. The Product DE organization is looking for a Senior Data Engineer reporting to the Senior Data Engineering Manager to design premier data architecture and solutions that drive strategic decision-making. The role includes translating operational needs into technical requirements, leading high-impact company-wide initiatives, and mentoring junior engineers while collaborating with leadership, product engineers, program managers, and data scientists to prioritize data requirements. You will design scalable data solutions, develop and optimize ELT/ETL pipelines for large-scale and specialized datasets, create robust data models for fast storage and retrieval, implement data quality frameworks, and own the end-to-end data engineering lifecycle. You will also participate in on-call rotations and partner with software engineering teams to build next-generation data systems enabling rapid, self-service data consumption.

GitLab is the intelligent orchestration platform for DevSecOps that boosts developer productivity, operational efficiency, security/compliance, and digital transformation, trusted by 50M+ users and many Fortune 100 companies. The company treats AI as a core productivity multiplier and fosters a high-performance, inclusive culture where every voice is valued and knowledge is continuously shared. As Staff Fullstack Engineer - Data Products, you’ll architect ingestion, modeling, and synchronization of data into the Knowledge Graph, coordinate integrations with external systems like Jira, observability tools, Zendesk, and ServiceNow, and design a Data Marketplace for consumption via Snowflake, Databricks, and BigQuery. You’ll publish GitLab observability data as OpenTelemetry, define operational readiness for deployments across GitLab.com, Dedicated, and Self-Managed, translate ambiguous product problems into practical roadmaps, and mentor engineers through reviews and collaboration. Requirements include end-to-end ownership at staff level, strong Go, Ruby, and Node skills, experience with data ingestion and multi-tenant SaaS, and a commitment to remote, worldwide hiring with an equal-opportunity environment.

GitLab is an intelligent DevSecOps orchestration platform that helps organizations boost developer productivity, security, and digital transformation, with AI integrated into everyday workflows. The role is Engineering Manager for GitLab’s Software Supply Chain Security (SSCS) Add-On, a founding management position to shape how the team works and to deliver core capabilities such as Dependency Firewall, Build Provenance, Malicious Packages detection, and Artifact Signing for enterprise customers with strict security needs. You’ll lead the backend engineering team, drive general-availability milestones, partner with Talent Acquisition and Product, run 1:1s and performance reviews, monitor quality, and coordinate quarterly planning and roadmaps with stage leadership and other stakeholders. Candidates should have 3+ years guiding backend product engineering in security/DevOps or platform environments, the ability to hire and grow engineers, credibility for architecture decisions around registries, CI/CD security, and signing, and familiarity with supply chain security concepts like SLSA and Sigstore. The SSCS Add-On team is distributed and asynchronous within GitLab’s Software Supply Chain Security stage; GitLab supports remote, worldwide hiring with generous benefits and an explicit commitment to equal opportunity and inclusive hiring.

SmartBear delivers application integrity for modern tech stacks with AI-speed governance, offering deep test automation, API lifecycle management, and observability integrated across the SDLC to raise the quality standard for delivery teams. It is trusted by more than 16 million developers across 32,000 organizations, including 75% of the largest financial institutions, with brands such as Swagger, TestComplete, Reflect, QMetry, and Zephyr. As stewards of an open source community, SmartBear engages customers where they are and invites exploration at www.smartbear.com, or via LinkedIn, X, and Reddit. The Renewals Advisor role focuses on nurturing customer relationships, driving retention and growth, increasing license utilization through onboarding and adoption, and identifying upsell opportunities, requiring 2-4 years in a customer-facing role and strong communication and problem-solving skills. SmartBear emphasizes growth, inclusivity, social responsibility, and a diverse, collaborative culture with offices worldwide and equal opportunity employment, inviting you to join the mission.

SmartBear delivers application integrity for modern tech stacks, enabling continuous, measurable assurance that software works as intended with governance to operate at AI speed and scale, including deep test automation, API lifecycle management, and observability. It is trusted by more than 16 million developers across 32,000 organizations, including 75% of the largest financial institutions, with customers such as Adobe, JetBlue, and Microsoft, and its best-loved brands include Swagger, TestComplete, Reflect, QMetry, and Zephyr. As stewards of an open-source community, SmartBear meets customers where they are to improve the technology-driven world, with Learn more at www.smartbear.com and follow opportunities on social channels. The Software Engineer – Front End role focuses on solving business problems with scalable frontend applications using Vue 3, TypeScript, and browser extension technologies, and supports Reflect—SmartBear's AI-powered no-code test automation platform—covering the Reflect web app and browser instrumentation. Requirements include 4–6 years of frontend experience (preferably SaaS or complex products), strong TypeScript/JavaScript, Vue.js/Vue 3, REST and WebSocket API integration, browser extension development, testing tools, and attention to accessibility, security, and performance, plus a collaborative, Agile mindset and a culture that values growth and inclusion.

SmartBear delivers application integrity for modern tech stacks with deep test automation, API lifecycle management, and observability, enabling governance at AI speed and scale across the SDLC. It is trusted by over 16 million developers across 32,000 organizations, including 75% of the largest financial institutions, with brands like Swagger, TestComplete, Reflect, QMetry, and Zephyr, plus a collaborative open-source community. The role described is Software Engineer – Front End for Reflect, SmartBear’s AI-powered, no-code test automation platform, focused on building high-performance frontend experiences using Vue 3, TypeScript, JavaScript, HTML/CSS, and browser extension technologies. Responsibilities include designing reusable UI components, integrating with REST and WebSocket APIs, contributing to browser instrumentation, debugging, and testing with tools like Jest and Playwright, while collaborating in an Agile environment; candidates should have 4–6 years of frontend experience and familiarity with Vue 3, TypeScript/JavaScript, REST/JSON, WebSocket, and frontend testing, plus extension development. SmartBear emphasizes growth, an inclusive, values-driven culture, global offices, awards, and equal opportunity employment, inviting you to join its mission to improve software quality in an AI-driven world.

SmartBear delivers application integrity for modern tech stacks with governance that moves at AI speed and scale, offering deep test automation, API lifecycle management, and observability across the SDLC to raise the quality standard for delivery teams. It is trusted by more than 16 million developers across 32,000 organizations, including 75% of the largest financial institutions, with brands like Adobe, JetBlue, and Microsoft, and it supports popular products such as Swagger, TestComplete, Reflect, QMetry, and Zephyr within a collaborative open-source community. The text also highlights a Senior Software Engineer - C++ (TestComplete) role focused on developing and maintaining the testing tool using C++, integrating frontend and backend functionality, and collaborating across cross-functional teams. Requirements include 6+ years of backend development in C++, familiarity with Delphi, Windows programming, object-oriented design, design patterns, and CI/CD, plus a BS in Computer Science or equivalent and English at B2 level, along with a culture that emphasizes growth, inclusivity, and values like smart, open, driven, accountable, and curious. SmartBear is headquartered in Somerville, MA with offices worldwide, is an equal opportunity employer committed to diversity and inclusion, and invites readers to learn more at smartbear.com and follow them on LinkedIn, X, and Reddit.

SmartBear provides application integrity for modern tech stacks with AI-speed governance, delivering deep test automation, API lifecycle management, and observability across the SDLC to raise the quality standard of software delivery. It is trusted by more than 16 million developers, testers, and software engineers across 32,000 organizations, including 75% of the largest financial institutions and leaders such as Adobe, JetBlue, and Microsoft, with brands like Swagger, TestComplete, Reflect, QMetry, and Zephyr. As stewards of a collaborative open-source community, SmartBear supports customers wherever they are to improve the technology-driven world, and invites learning at www.smartbear.com or on LinkedIn, X, and Reddit. The Senior Software Engineer – AI for QMetry Test Management role focuses on building AI Agents for QTM, developing LLM-powered workflows and integrations, and delivering production-ready code, requiring 5+ years in Python/Node/JS, Flask/FastAPI, LLM/LangChain experience, REST APIs, Docker, AWS, and GitHub, with bonus for NoSQL/Vector DB and frontend skills. SmartBear emphasizes career growth, an inclusive culture, ethical practices, and global offices, with awards and equal opportunity employment, inviting applicants to join a diverse, driven team shaping software quality in an AI-driven world.

SmartBear delivers application integrity for modern tech stacks, providing continuous, measurable assurance with AI-enabled governance, and offering deep test automation, API lifecycle management, and observability across the SDLC. It is trusted by more than 16 million developers across 32,000 organizations, including 75% of the largest financial institutions, with brands such as Swagger, TestComplete, Reflect, QMetry, and Zephyr. SmartBear emphasizes a collaborative open-source community and invites customers to learn more at smartbear.com and follow on LinkedIn, X, and Reddit. The Senior Technical Writing Manager leads and grows a team of technical writers, defines documentation strategy and governance, oversees content planning and workflows, and drives AI-driven efficiencies and automation to improve product adoption and customer success. Requirements include 7+ years in technical writing with 4+ years in leadership, experience with developer-focused docs, CCMS, Git-based workflows, AI integration, and agile environments; SmartBear offers career growth, a people-centric culture, and equal opportunity employment, with headquarters in Somerville, MA and offices worldwide.

SmartBear delivers application integrity across modern tech stacks with deep test automation, API lifecycle management, and observability, enabling governance at AI speed and scale. It serves more than 16 million developers, testers, and software engineers across 32,000 organizations, including 75% of the largest financial institutions, with best-loved brands such as Swagger, TestComplete, Reflect, QMetry, and Zephyr. As stewards of a collaborative open-source community, SmartBear commits to ethical corporate practices and social responsibility, while maintaining offices worldwide. The Product Owner – Swagger role partners with Product Management, Engineering, UX, Documentation, and Go-to-Market teams to shape API lifecycle experiences, AI-powered workflows, and developer tooling, driving measurable customer outcomes. Required qualifications include 5+ years in product ownership or related technical roles, strong API lifecycle knowledge, experience with SaaS or on-premises software, and Agile collaboration; preferred qualifications include experience with AI platforms and API protocols, and SmartBear emphasizes career growth, culture, and equal employment opportunities.

SmartBear delivers application integrity for modern tech stacks with deep test automation, API lifecycle management, and observability, enabling continuous, AI-speed governance across the software development lifecycle, and is trusted by more than 16 million developers across 32,000 organizations, including 75% of the largest financial institutions and brands like Adobe, JetBlue, and Microsoft. SmartBear’s best-loved brands include Swagger, TestComplete, Reflect, QMetry, Zephyr, and more, and the company acts as stewards of a collaborative open-source community, meeting customers where they are to make our technology-driven world a better place. The company is hiring a Technical Product Manager for API Testing to shape strategy, planning, and execution across its API testing product suite, at the intersection of deep technical understanding, customer empathy, and AI-driven innovation. Key responsibilities include defining the product vision and roadmap, owning the backlog, collaborating with Engineering, Design, and GTM teams, engaging directly with developers and customers, and translating market needs into technically grounded specs while incorporating AI concepts and open-source standards like OpenAPI. Qualifications call for 7+ years in product management for developer tools or APIs, a technical background, familiarity with open-source ecosystems and AI platforms, with preferred experience in open-source contribution and MCP, along with a culture that values trust, ownership, curiosity, growth, inclusion, and global office presence.

SmartBear delivers application integrity for modern tech stacks with deep test automation, API lifecycle management, and observability, providing continuous, AI-speed governance across the SDLC. It is trusted by more than 16 million developers across 32,000 organizations, including 75% of the largest financial institutions, with best-loved brands such as Swagger, TestComplete, Reflect, QMetry, and Zephyr. SmartBear supports a collaborative open source community and meets customers where they are to improve the technology-driven world. Zephyr Enterprise is undergoing a transformation to better align its products with end-user needs while preserving market leadership in the Test Management space. The Principal Software Engineer - Java role involves acting as a technical liaison, driving complex changes, delivering scalable back-end Java 8+ solutions (Spring, AWS, databases, security), mentoring engineers, and guiding strategic direction, requiring 12+ years of experience, strong testing/RCA focus, and a track record of production-grade delivery, with SmartBear offering growth, inclusivity, and global opportunities.

SmartBear delivers application integrity for modern tech stacks with AI-speed governance, offering deep test automation, API lifecycle management, and observability across the SDLC to raise delivery quality; it is trusted by over 16 million developers in 32,000 organizations, including 75% of the largest financial institutions and brands like Adobe, JetBlue, and Microsoft, with products such as Swagger and TestComplete. The company champions a collaborative open-source community and meets customers where they are, inviting you to learn more at smartbear.com and follow them on LinkedIn, X, and Reddit. The posting is for a new Manager - Product Support role to drive global expansion of the SmartBear Insight Hub and Observability product set (primarily Bugsnag), reporting to the Director of Customer Care, and responsible for delivering technical support and leading a team of engineers. Responsibilities include building and coaching the team, setting goals and OKRs, handling complex cases and escalations, standardizing tools and processes, owning the knowledge base and training materials, and providing 24x7 global support through follow-the-sun centers. Qualifications include 3+ years of experience managing technical product support teams, strong leadership and troubleshooting skills, experience supporting software developers, English proficiency, Salesforce knowledge as a bonus, and SmartBear emphasizes career growth, an inclusive culture, ethical practices, global offices, and equal opportunity employment.

SmartBear delivers application integrity for modern tech stacks with deep test automation, API lifecycle management, and observability, integrated across the SDLC to provide governance at AI speed and scale. It is trusted by more than 16 million developers across 32,000 organizations, including 75% of the largest financial institutions, with customers like Adobe, JetBlue, and Microsoft. SmartBear’s best-loved brands include Swagger, TestComplete, Reflect, QMetry, Zephyr, and more, and the company supports a collaborative open-source community. The Manager - Product Support role is a new position to lead technical support engineers, drive strategy with product and engineering, assist customers with TCP/IP and API knowledge, and support the global expansion of the Insight Hub and Observability products (primarily Bugsnag), including owning the knowledge base and training materials. Requirements include 3+ years managing technical product support teams, strong leadership and troubleshooting skills, experience with software development tools, excellent English communication, and Salesforce knowledge as a bonus; SmartBear offers growth, a People and Culture approach, multiple global offices, and an equal-opportunity environment aligned with its mission to improve the technology-driven world.

SmartBear delivers application integrity for modern tech stacks with deep test automation, API lifecycle management, and observability, enabling governance at AI speed across the full software development lifecycle. It is trusted by more than 16 million developers across 32,000 organizations, including 75% of the largest financial institutions and brands like Adobe, JetBlue, and Microsoft, with popular products such as Swagger, TestComplete, Reflect, QMetry, and Zephyr. As stewards of an open source community, SmartBear meets customers where they are and invites people to learn more at smartbear.com and follow them on LinkedIn, X, and Reddit. The Engineering Manager – Zephyr Enterprise role leads a cross-functional team to build test management solutions, promoting Agile practices, collaboration, and continuous improvement across cloud (AWS) and on-prem deployments. Ideal candidates have 3+ years of experience leading software teams, SaaS with distributed teams and on-prem deployments, a CS/Engineering degree, cloud knowledge, and the ability to translate high-level goals into actionable plans, with a culture focused on growth, inclusion, and equal opportunity.

SmartBear delivers application integrity for modern tech stacks, providing continuous, measurable assurance and AI-speed governance, with deep test automation, API lifecycle management, and observability across the SDLC. It is trusted by more than 16 million developers across 32,000 organizations, including 75% of the largest financial institutions, with brands such as Swagger, TestComplete, Reflect, QMetry, and Zephyr, and it supports a collaborative open source community. Learn more at smartbear.com and follow the company on LinkedIn, X, and Reddit; SmartBear aims to make the technology-driven world better by ensuring software integrity in an AI-driven world. The Engineering Manager – Zephyr leads a cross-functional engineering team building test management solutions for Atlassian Jira and Confluence, using AI to transform manual tests into automated tests, and operates in a native cloud AWS, microservices environment with practices like TDD and continuous delivery. Requirements include 10+ years of experience with at least 3 years in software team management, SaaS/distributed teams experience preferred, a CS/Engineering degree, cloud technology knowledge, and the ability to turn high-level goals into actionable plans; SmartBear highlights career growth, an inclusive culture, awards, and equal opportunity across its global offices.

SmartBear delivers application integrity for modern tech stacks and is trusted by more than 16 million developers across 32,000 organizations, including 75% of the largest financial institutions and industry leaders such as Adobe, JetBlue, and Microsoft. The company offers deep test automation, API lifecycle management, and observability, with integrations across the SDLC to set a new quality standard for application delivery teams. The DevOps Engineer - Test Hub role is a hands-on, globally distributed position (Bengaluru, Poland, Ireland, and the US) focusing on cloud infrastructure automation, CI/CD pipelines, container orchestration, and operational reliability. Responsibilities include designing and maintaining CI/CD pipelines with GitHub Actions, provisioning AWS (primary) and Azure via Terraform, deploying Kubernetes with Helm, building Docker images, scripting in Python/Bash, observability instrumentation, and leading incident response. Requirements are 4+ years in DevOps/SRE, strong AWS experience plus Azure, Terraform, GitHub Actions, Kubernetes, Helm, Docker, Python/Bash, and observability tools, with nice-to-have items including CloudFormation/Ansible, Rancher, SonarQube/Nexus, FinOps, and service mesh knowledge, all within a culture that emphasizes inclusion and growth at SmartBear.

GitLab is an AI-enabled orchestration platform for DevSecOps that aims to boost developer productivity, operational efficiency, security, and digital transformation, with a culture that embraces AI as a core productivity multiplier. The role is a Customer Success Engineer for APJ, based in India, who partners with customers to deliver measurable value from GitLab through hands-on technical guidance and enablement, supporting renewals and expansion. You will provide on-demand technical consultancy, drive product adoption, deliver architectural guidance across SCM, CI/CD, DevSecOps, and Agile planning, and plan workshops and enablement sessions to drive adoption. Requirements include a hands-on technical background, experience delivering technical consultancy, familiarity with DevSecOps practices, strong communication and collaboration skills, the ability to lead workshops, and eligibility to work in India. GitLab offers benefits such as flexible PTO, equity, growth funds, and parental leave, and emphasizes equal opportunity and non-discrimination, privacy, and accommodation, with all roles remote and location eligibility handled by Talent Acquisition.

Atlassian offers flexible work options (office, home, or hybrid) and can hire in any country with a legal entity to support employees' priorities. Data is central to Atlassian, ingesting billions of events each month into its analytics platform that dozens of teams rely on to drive critical decisions. The company also builds and manages an analytical and operational data store to enable teams to operate on trusted data and services. They are seeking a Senior Data Engineering Manager to join the GTM Data Engineering team within the Data Engineering department. The role involves building and leading a data engineering team through hiring and mentoring, providing deep technical guidance, driving engineering excellence, and fostering cross-functional collaboration with other departments.

At Atlassian, work location is flexible—office, home, or a hybrid—and interviews and onboarding are conducted virtually, with hiring available in any country where we have a legal entity. We serve over 300,000 customers worldwide, including NASA, IBM, HubSpot, Samsung, and Coca-Cola, and aim to unleash the potential of every team through outstanding software, delivering exceptional customer impact and revenue growth, guided by our value of “play as a team.” We are leading in responsibly integrating artificial intelligence into our cloud products, migrating customers to the cloud with transparent costs, faster collaboration, and accelerated business outcomes, while building a strong sales strategy for the enterprise market. The role involves steering the use of various products and services for Atlassian’s most significant accounts, including overseeing the Indian presence for our largest global accounts and collaborating with internal teams, channel partners, product specialists, account managers, and solution engineers to deliver solutions aligned with customer goals. Key responsibilities include developing named account or territory plans, serving as the main point of contact for designated accounts in India, identifying decision-makers, building executive relationships, understanding business objectives, coordinating with cross-functional teams, conducting market research, providing forecasts, maintaining product knowledge, traveling as needed, and mentoring junior team members.

Atlassian offers flexible, distributed-first work options (office, home, or hybrid) and hires globally wherever we have a legal entity, with virtual interviews and onboarding. We serve over 300,000 customers worldwide (NASA, IBM, HubSpot, Samsung, Coca-Cola) and aim to unleash every team's potential through extraordinary software, driven by a culture of collaboration—“play as a team”—where employees work with Atlassian, not for it. There is strong earning potential in our sales organization, underpinned by a vast enterprise market and customer preference for Atlassian, while we lead in responsibly integrating AI into cloud products and migrating customers to the cloud with transparent costs. The role involves managing high-value strategic accounts, especially through our Indian Global Capability Centers, focusing on Indian presence and targets, nurturing relationships with key decision-makers, and collaborating with internal teams and partners to deliver aligned solutions. Key responsibilities include developing named account or territory plans, becoming the main contact for designated strategic Indian accounts, identifying opportunities, staying informed about industry trends, communicating value, traveling as needed, and mentoring junior sales staff.

- Atlassian offers flexible work arrangements (office, home, or hybrid) and hires globally; the Senior Partner Solutions Architect role is remote but must be located in India. - Atlassian's mission is to empower customers to thrive in the digital economy by delivering enterprise-grade solutions, with a focus on cloud platform adoption and AI to unlock value and solve complex business challenges. - In this role, you will lead the development and implementation of tailored solutions to accelerate enterprise transformation with end customers, collaborate with regional partners to understand needs, design scalable architectures, champion AI-driven workflows, and guide customers from discovery to successful delivery, ensuring measurable value from Atlassian's platform and AI investments. - The role sits within a Partner Solutions team of experts in Cloud Acceleration & Upgrades, Solution Design, and Architecture, which aims to build partner enterprise cloud capabilities and drive successful cloud transformations across the partner ecosystem. - You will lead India partner capability strategy with Global Cloud Leaders, drive India channel capability for Enterprise cloud and AI market success, collaborate with Atlassian Partners on packaged services and GTM, conduct capability workshops, partner with enterprise sales to educate on partner capabilities and optimize co-selling, and help build a coordinated capability model plus lead cloud thought leadership programs.

- Atlassian offers flexible work options (office, remote, or hybrid) and can hire in any country where it has a legal entity. - The Senior Partner Solutions Architect is a remote role that must be located in India and reports to the International Head of Partner Solutions. - The role aims to empower customers to thrive in the digital economy by delivering enterprise-grade solutions and accelerating enterprise transformation through AI-enabled workflows and secure cloud migrations with partners. - It sits in the Partner Solutions team, which focuses on Cloud Acceleration, Upgrades, Solution Design, and Architecture to build partner enterprise cloud capabilities and support migrations and adoption. - Key responsibilities include leading India's partner capability strategy with global leaders, collaborating with partners to create packaged services and GTM strategies, conducting capability workshops, aligning with enterprise sales to optimize co-selling, and driving cloud thought leadership and a coordinated capability model across Atlassian.

At Atlassian, employees can choose where they work—office, home, or a hybrid—and the company hires in any country where it has a legal entity. The role focuses on identifying, qualifying, onboarding, and activating Global System Integrator (GSI) partnerships in the region to create strategic access, services pull-through, and scalable delivery. It involves creating business cases and joint activation plans, mapping accounts, and coordinating with regional sales, partner sales, and solutions teams to show how GSIs can unlock larger deals and improve win rates. The role also entails building differentiated offerings on the Atlassian platform for the Indian market, driving internal awareness that GSIs are force multipliers, and orchestrating cross-functional execution across marketing, enablement, operations, finance, legal, and customer-facing teams. Performance is tracked with metrics like accreditations, pipeline, influenced and sourced ACV, and time-to-first-win, with governance reviews; success means turning a small set of priority GSIs into active, credible, solution-led practices that generate pipeline, open executive doors, and deliver customer outcomes.

GitLab is an AI-enabled DevSecOps platform trusted by over 50 million users and many Fortune 100 companies, and it emphasizes using AI as a core productivity multiplier in daily work. The Senior Program Manager in GitLab’s CIO Enterprise Technology & AI team will lead the planning, execution, and delivery of large, cross-functional technology programs that advance enterprise IT strategy, translating goals into structured roadmaps and measurable outcomes. You’ll own end-to-end program management, define success metrics, report progress and risks to ETA leadership, drive cross-functional alignment, improve governance, and turn complex requirements into actionable plans while proactively mitigating blockers. The role requires about 6+ years of enterprise technology program management, the ability to simplify ambiguity, influence without authority, strong communication skills, familiarity with enterprise IT domains (data, AI, security, infrastructure, etc.), and experience with Agile/SAFe—PMP/CSM is a plus. The position is remote and part of a cross-functional CIO Enterprise Technology & AI team that partners with Finance, Sales, Marketing, People, Product, and Security, with a commitment to an inclusive, equal-opportunity culture and comprehensive benefits.

Atlassian offers flexible work locations—office, remote, or hybrid—and hires in any country where it has a legal entity. Data is a core focus, with billions of events each month and many teams relying on an analytics platform; the company is seeking a senior data engineering manager to lead engineers in creating scalable analytical data products for decision-making. The role entails building and leading a team through hiring, coaching, mentoring, and hands-on career development, while providing deep technical guidance on large projects with complex dependencies and multiple stakeholders. You will collaborate with stakeholders to define data strategies, improve data quality and reliability, and deliver reusable data models, pipelines, and platforms that enable analytics at scale. It’s a critical leadership position at the intersection of data architecture, engineering excellence, and business impact, involving technical discussions, direction, decision-making, and fostering innovation across data teams.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally with virtual interviews and onboarding as part of a distributed-first approach. The company unleashes team potential with tools like Jira Software, Confluence, and Jira Service Management, used by the Fortune 500 and over 300,000 companies worldwide, including NASA and Dropbox. The Mid-Market sales team manages a portfolio of mid-sized customers, identifying cloud-first opportunities, cross-sell and user expansion, nurturing relationships, and pursuing revenue targets while acting as customer advocates to inform product and engineering. They work in close collaboration with Channel Partners, Product Specialists, Account Managers, and Solution Engineers, guided by Atlassian values in a TEAM-driven sales model. Responsibilities include developing named Account or Territory plans (India), driving growth and engagement in the mid-market, presenting demonstrations, staying informed on market trends, and occasional travel to meet clients and attend events and gatherings.

- Atlassians can work from anywhere with interviews and onboarding conducted virtually, reflecting Atlassian’s distributed-first approach and global hiring. - Atlassian’s software helps teams collaborate, with Jira Software, Confluence, and Jira Service Management used by Fortune 500 companies and many others worldwide. - The Mid-Market sales team focuses on managing a portfolio of mid-sized customers, pursuing cloud-first opportunities, cross-sell and expansion, hitting revenue targets, and advocating for customers while collaborating with Channel Partners, Product Specialists, Account Managers, and Solution Engineers. - The role involves developing and executing named Account or Territory plans (India) to maximize expansion and customer success, drive growth and engagement, qualify opportunities, and build strong client relationships. - Responsibilities include product demonstrations, providing regular progress updates to management, staying informed on industry trends and competitors, and occasional travel to meet clients and attend events.

Atlassian is seeking a passionate Solutions Engineer for the APAC Solutions Engineering team to support Atlassian’s largest Indian customers and act as a trusted advisor. The role involves leading technical pre-sales engagements, positioning Atlassian solutions to customer goals, and driving revenue outcomes as part of the broader go-to-market strategy. Atlassian offers flexible, distributed-first work options—employees can work from office, home, or hybrid—and hires can occur in any country with a legal entity, with interviews and onboarding conducted virtually. The company values Excellence, Team over Individual, Intentional Positivity, and Own Your Domain, encouraging ownership and collaboration. Day-to-day work emphasizes solving problems as a team, staying current with product knowledge, empathizing with customers, and a culture of trying new things and learning from failures.

Atlassian offers flexible work arrangements—office, home, or hybrid—and hires in any country where the company has a legal entity to support employees' family and personal priorities. The Product Data Engineering (DE) organization is seeking a Senior Data Engineer who will report to the Senior Data Engineering Manager. The role involves designing premier data architecture and solutions to drive strategic decision-making and collaborating with business stakeholders to translate operational needs into technical outcomes. Responsibilities include leading cross-functional initiatives, mentoring junior engineers, designing scalable data models and high-performance ELT/ETL pipelines, implementing data quality frameworks, owning the end-to-end data lifecycle, and participating in on-call rotations for platform stability. It also requires partnering with software engineering teams to build next-generation data systems that enable rapid, self-service data consumption.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where we have a legal entity. We are looking for a Principal Data Engineer to join the Data Engineering Team as a tech lead and architect to build scalable data solutions that power crucial business decisions and foster Atlassian's data-driven culture. The role includes owning the technical evolution of data engineering, ensuring incremental delivery, coordinating across teams, and maintaining data quality while addressing performance, scale, and security concerns. You will set the technical direction, define problems, architect solutions, and mentor a team of data engineers while collaborating with the engineering manager and other departments. You will drive complex decisions, improve productivity, and help embed a collaborative, multi-functional culture within your team and across the organization.

Atlassian offers flexible, distributed-first work options, allowing employees to work in an office, from home, or in hybrid arrangements, with virtual interviews and onboarding for hires in any country where the company has a legal entity. Their products, including Jira Software, Confluence, and Jira Service Management, help teams across the Fortune 500 and other organizations worldwide—such as NASA, Audi, Kiva, Deutsche Bank, and Dropbox—collaborate and deliver quality results on time. The Mid-Market sales team manages a portfolio of mid-sized customers, identifying cloud-first opportunities, cross-sell and user expansion opportunities, nurturing relationships, and achieving revenue targets, while serving as a strong advocate for customers to product and engineering teams. Responsibilities include working closely with Channel Partners, Product Specialists, Account Managers, and Solution Engineers; developing named Account or Territory plans (with a focus on India) to maximize expansion and ensure customer success; delivering product demonstrations and presentations; and providing regular updates to management. Additional duties involve staying current on industry trends and competitive dynamics, collaborating to streamline processes, and traveling occasionally to meet clients, attend events, and participate in intentional togetherness gatherings.

Atlassian offers flexible work locations (office, home, or a mix), hires globally where they have a legal entity, and conducts virtual interviews and onboarding as part of a distributed-first approach. Atlassian aims to unleash the potential of every team with products like Jira Software, Confluence, and Jira Service Management, used by the Fortune 500 and over 300,000 companies worldwide including NASA, Audi, Kiva, Deutsche Bank, and Dropbox. The Mid-Market sales team manages a portfolio of mid-sized customers, identifies cloud-first opportunities, pursues cross-sell and expansion, nurtures relationships, and works to achieve revenue targets. They serve as customer advocates, providing feedback to product and engineering teams and collaborating with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to improve the customer experience and deployment at scale, guided by Atlassian values. Responsibilities include developing named Account or Territory plans (India), driving growth and engagement in the mid-market, conducting product demonstrations, staying current on industry trends and competitors, reporting progress to management, and traveling occasionally for client meetings and events.

At Atlassian, we aim to unleash the potential of every team by revolutionising software development and helping major organizations like Williams Racing, NASA, Nike, Pixar, and Tesla advance humanity through software and collaboration. We have built a multi-billion-dollar, fast-growing software business with over 300,000 paying customers, hundreds of implementation partners, and millions of users worldwide. Our culture is open, welcoming, collaborative, and intensely focused on our customers’ success. The Enterprise Account Executive will develop and implement a territory strategy to grow adoption of Atlassian’s portfolio among our largest enterprise customers in India, acting as a customer champion and uncovering additional value. The role requires close collaboration with Channel Partners, Product Specialists, Marketing, and cross-functional teams to coordinate strategies, educate customers on Atlassian’s cloud-based System of Work (including AI, Scaled Agile, Enterprise Service Management, Work Management, and DevOps), engage executives and events, and consistently exceed quotas through teamwork and strong engagement with Technical Account Managers and Partners.

Zendesk is seeking an Administrative Assistant in Pune to provide calendar management, travel planning, expense reporting, and day-to-day administrative support, acting as a culture ambassador in a fast-paced, collaborative environment. Key duties include orchestrating complex calendars across multiple executives and time zones, coordinating domestic and international travel, processing expenses, serving as a reliable point of contact, and assisting with meetings, events, and cross-functional projects. Qualifications cover proven administrative experience supporting multiple stakeholders globally, strong organizational and communication skills with a service-oriented mindset, ability to juggle competing priorities, and proficiency with Google Workspace, Zoom, and Slack. The role is hybrid, requiring in-office attendance part of the week, and Zendesk notes that candidates must be physically located and plan to work from Karnataka or Maharashtra, with the specific office location and in-office schedule set by the hiring manager. Zendesk emphasizes equal opportunity, inclusion, and accommodations, and may use AI in screening applicants as part of its commitment to fairness and transparency.

The role is Ruby on Rails - Senior Software Engineer responsible for Zendesk’s core User model, joining a Melbourne-based team with Pune-based foundational engineers to optimize in-product experiences for customers and developers. Daily tasks include owning features end-to-end, collaborating with the Tech Lead on design and implementation, contributing to cross-team technical discussions, breaking work into incremental pieces, balancing feature delivery with tech debt, conducting pairing and code reviews, and working with designers and product managers to shape the product’s future. Required qualifications include strong Ruby on Rails proficiency on a large Rails codebase, MySQL/Redis experience, a track record of delivering large-scale resilient web systems, excellent English communication, ability to explain complex technical decisions, and experience coaching and facilitating collaboration among engineers. Tech stack features Rails; data in MySQL and Redis; frontend in React/TypeScript (Ember migrated); Go/Java in adjacent services; communications via gRPC, REST, Kafka, GraphQL; deployed to Kubernetes with Docker and Spinnaker on AWS, monitored by Datadog; and a growth mindset to learn as you go. It's a hybrid Pune-based role under Zendesk’s Product Development Center of Excellence with a BOT model, requiring relocation to Pune and 3 days in the office; the posting notes that candidates must be located in Karnataka or Maharashtra; Zendesk commits to diversity, equal opportunity, and accommodations as needed.

The position is for Managed Shared Services Consultants who configure Zendesk solutions, advise on best practices, and provide hands-on support to a global portfolio, acting as an extension of customers' teams. Responsibilities include maintaining product expertise, managing a backlog for assigned customers, educating and guiding clients, collaborating with Managed Services Consultants across regions (USA/LATAM, EMEA, APAC) to gather requirements and prioritize work, performing detailed account reviews and configuration analyses, and designing, testing, and rolling out complex production updates while contributing to process improvements. Requirements include 6–10 years of professional consulting or customer-success experience, Zendesk experience a plus, SQL and Python scripting, experience with analytical tools (Excel/Tableau/Power BI), strong communication and problem-solving skills, exceptional attention to detail, the ability to work independently on multiple projects, and flexibility to work shifts, with German/French/Spanish language skills considered a plus. Candidates must be located in Karnataka or Maharashtra and participate in a hybrid work arrangement that requires in-office presence part of the week, with the schedule determined by the hiring manager. Zendesk is an equal-opportunity employer that values diversity and inclusion; AI or automated decision systems may be used in screening, and reasonable accommodations are available for applicants with disabilities.

Zendesk seeks a Staff Cloud Developer with strong backend and frontend skills to build scalable AWS-based cloud apps focused on data engineering, API integrations, and identity workflows using serverless technologies, with proficiency in Python, JavaScript/Node.js, and React. Responsibilities include developing Python-based AWS Lambda functions for serverless data pipelines and authentication, building RESTful and GraphQL APIs with API Gateway, and customizing Cognito user pools via Lambda triggers for authentication, MFA, and token management. The role also entails creating responsive React frontends for onboarding and data presentation, implementing scalable data pipelines via APIs, webhooks, and event streams, and collaborating with architecture and DevOps to maintain Infrastructure as Code using Terraform and CloudFormation, plus CI/CD automation. Required qualifications include a bachelor’s degree or equivalent, 8+ years of development with at least 3+ years in AWS serverless and data engineering, strong Python backend and JavaScript (Node.js/React) expertise, hands-on experience with AWS services (API Gateway, Lambda, Cognito, DynamoDB, RDS, SQS, EventBridge, S3), Cognito triggers, data pipelines, IaC (Terraform/CF), CI/CD, cloud security, and collaborative problem-solving. Preferred qualifications include experience with Amazon Connect, Docker/ECS/EKS, an AWS Developer Associate or similar certification, Agile/DevOps experience, and nice-to-haves such as AI tools in customer support with AWS AI/ML or Zendesk API familiarity; note that candidates must be physically located in Karnataka or Maharashtra, India, and Zendesk may use AI screening in accordance with policy while upholding equal opportunity and inclusion.

The job is for a Staff Software Engineer who will serve as the technical leader, defining the architecture, execution strategy, and long-term roadmap to build a feature-rich system that helps admins onboard, adopt, and manage Zendesk products and enables internal integrations. Responsibilities include independently driving system design, cross-team collaboration to architect scalable, secure, and performant solutions, making high-impact technical decisions, ensuring code quality, and evolving Zendesk’s architecture with a modern data platform and event-driven real-time processing. The role emphasizes collaboration with Product, Design, and Engineering leaders, proactive issue mitigation, end-to-end delivery ownership, building reusable components, participating in code reviews, and delivering features with quality and performance. The candidate will mentor senior engineers, promote a learning culture, drive best practices, participate in on-call rotations after training, lead agile ceremonies, and provide strategic leadership for near-to-mid-term success (1-2 years). Required qualifications include 12+ years of frontend enterprise SaaS experience, 10+ years with JavaScript/TypeScript and React/Redux, experience with Cypress/Jest, REST APIs, multi-tenant SaaS, autonomous work style, and strong English communication; the role is hybrid with at least 3 days in the office, and location restrictions note candidates must be located in Karnataka or Maharashtra despite the Pune-based posting.

Zendesk is hiring a Software Engineering Manager in Pune to lead the newly formed Data Applications Engineering team within Enterprise Data & Analytics, responsible for the full-stack development of an internal AI-powered GTM Intelligence Platform used by 1500+ employees. The role is the founding engineering leader at an early stage, combining management with hands-on work to build a collaborative culture and scale the system, coordinating with globally distributed teams and cross-functional stakeholders. Responsibilities include leading 2-4 engineers, guiding the transition from data science prototypes to production with clear API contracts, ensuring code quality, reliability, and observability, and fostering a high-performance, ownership-driven culture with regular 1:1s. Requirements include 10+ years in industry with 3+ years in technical leadership, a track record shipping full-stack web apps, a strong backend foundation (Python/Java, distributed systems) with frontend review for React/TypeScript, experience with OLTP databases and cloud data warehousing, AI adoption, and strong cross-functional communication; nice-to-haves include data/analytics engineering background, Python backend expertise, AI/LLM features, and familiarity with GTM tools. Location notes specify Pune on-site at least 3 days/week with Zendesk hiring limited to candidates in Karnataka or Maharashtra, along with Zendesk’s hybrid policy, equal opportunity statements, and the use of AI screening in the application process.

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 Pune-based frontend engineer to help improve the customer experience, with a globally dispersed engineering team and opportunities to work on products used by major brands, and the role requires in-office work at least 3 days a week. Daily responsibilities include collaborating with engineers, product management, and design to create simple yet sophisticated solutions, following development best practices such as design, pair programming, peer code review, documentation, testing, and continuous integration, and delivering from concept through QA, staging, and production deployment. The role asks for about 8 years of frontend experience with UX thinking, strong expertise in session management, ORM, caching, JavaScript, CSS/HTML, CSS-in-JS, JSON, and REST APIs, and experience building complex single-page apps with React or similar frameworks, plus hands-on experience with AI tools like Copilot, ChatGPT, and Claude. Bonus skills include CI/CD and delivery tools (GitHub Actions, Travis, Jenkins), experience with Ruby or Java, MySQL, AWS (Aurora), Datadog, instrumentation tools (Segment, Pendo), and JavaScript build tooling (Webpack, Node.js). Zendesk emphasizes hybrid work and inclusion, notes that AI may be used to screen applications, and states it is an AA/EEO employer with accommodations for applicants with disabilities; the role’s location is noted as Karnataka or Maharashtra per policy, in addition to the stated Pune base.

Zendesk is hiring an Engineering Manager in Pune to lead product engineering teams and directly impact the customer experience and business success. You will manage a team of 10–12 engineers, collaborate with cross-functional stakeholders across engineering, product, marketing and design, and drive timely delivery, code quality, and system reliability. The role requires 12+ years of industry experience with 3–4 years in technical leadership, mentoring ability, proficiency across tech stacks (React/Angular/JS, Java or Ruby) and cloud platforms (AWS/Azure/GCP), and strong Agile and communication skills. The position is hybrid, requiring in-office work at least 3 days a week in Pune, with location restricted to Maharashtra or Karnataka. Zendesk emphasizes diversity and inclusion, may use AI in screening, and offers accommodations for applicants with disabilities as part of an inclusive workplace.

Zendesk is hiring a Staff Machine Learning Engineer to shape the architecture and strategy of its GenAI platform, leading cross-functional efforts to standardize evaluation, access, observability, and orchestration of LLMs to deliver safe, performant AI experiences. The role will define platform-level solutions (LLM Proxy, model registry integrations, vendor abstraction, cost/usage attribution), scale evaluation and benchmarking frameworks, and establish company-wide safety and evaluation standards with automated checks. You will identify systemic failure modes, prioritize mitigations and retraining, drive platform reliability and capacity planning for LLM services, implement rate limiting and SLAs, and enable agentic workflows with secure integration patterns while partnering with engineering, product, research, and policy teams. Requirements include 8+ years building distributed systems and ML infrastructure, deep knowledge of LLMs and inference serving, strong system design, Python/Kubernetes/cloud, and experience with evaluation frameworks; preferred qualifications include experience with model registries, feature stores, agentic AI frameworks, and an advanced degree. The position is based in Pune, India (on-site) with hybrid work, and Zendesk notes that they hire only candidates physically located in Karnataka or Maharashtra as per the requisition; the company remains committed to equal opportunity and inclusion and may use AI screening as part of the hiring process.

The job is a Solutions Architect in pre-sales for CCaS at Zendesk, working with the Contact Center Platform Architecture team and customers to design and scope customized solutions and win professional services engagements. Responsibilities include leading pre-sales technical scoping, advising sales on optimal Zendesk product usage, creating detailed professional services estimates and proposals, articulating complex technical concepts to both technical and executive audiences, maintaining deep Zendesk CCaaS product expertise, and partnering with Professional Services to ensure a smooth transition from sales to delivery. Qualifications include strong AWS Connect and/or AWS services experience in CCaS, prior solutions architect experience in CCaS supporting AWS, hands-on experience building/migrating/deploying complex cloud solutions, a solid cloud tech background (Amazon Connect, SaaS, enterprise architecture), the ability to translate customer objectives into technical solutions and estimates, and exceptional communication skills. The role requires being physically located in Karnataka or Maharashtra per the requisition, with a hybrid work model that includes in-office attendance part of the week as determined by the hiring manager. Zendesk emphasizes equal opportunity and diversity, may use AI or automated decision systems in screening, provides accommodations for applicants with disabilities, and offers contact information for accommodations.

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.

Zendesk is hiring for a Pune-based engineering role focused on improving customer experience at scale, with a globally distributed team and a hybrid setup requiring in-office presence. The role involves daily collaboration with engineers and product management, following the full development lifecycle from design to production, and ensuring code quality, debugging, and reliable delivery with proper testing and CI. Ideal candidates will have backend language proficiency (Java, Ruby, Python, Golang, NodeJS, Typescript, Scala), 2+ years in JavaScript/React, experience with JS tooling, and at least 8 years of hands-on coding including leadership in design and development, along with mentoring, collaboration, problem-solving, and strong communication skills. The role requires cross-team coordination across the SDLC, the ability to work with ambiguity, and a specific in-office schedule determined by the hiring manager; candidates must be located in Karnataka or Maharashtra. Zendesk is an equal opportunity employer, may use AI screening, and offers accommodations for disabilities while promoting diversity, inclusion, and fair employment practices.

Zendesk is hiring an AI Services Consultant to act as the technical and product expert for its AI-powered Resolution Platform, helping customers implement, configure, and optimize solutions to achieve rapid value. The role's mission is to provide technical solutions, remove blockers, and guide customers through agile, complex configurations to drive transformative business outcomes. Its overarching objectives are to accelerate time-to-value by driving adoption and operational excellence, serve as the customer’s AI technical expert, and lead end-to-end project delivery with clear scope and timelines. Requirements include 3+ years in Consulting/Professional Services, enterprise SaaS GTM experience, experience using adoption analytics and success plans, strong program management and communication skills, and eligibility to work from Karnataka or Maharashtra with a hybrid in-office schedule. Zendesk is an equal opportunity employer that values diversity and inclusion, may use AI screening as part of the hiring process, and provides accommodations for applicants with disabilities.

Zendesk seeks a sales-focused technologist who will be the technical owner of the sales cycle for its most strategic Commercial opportunities in India, driving the AI-first vision and helping customers navigate LLMs and automated service environments. You’ll be the technical lead, owning the prospects’ technical relationship, serving as a solution architect between Sales, Marketing, and Product, and delivering PoCs and demonstrations that map business needs to technical solutions. Responsibilities also include AI evangelism—educating customers on the impact of AI technologies—and cross-functional collaboration to influence new product development based on field feedback. Basic qualifications include 5+ years of client-facing pre-sales, strong web/scripting skills, experience mapping RFI/RFPs to software, managing customer pilots/PoCs, a bachelor’s degree, and willingness to travel onsite. Preferred qualifications involve knowledge of CS software/ITSM/BI/data warehousing, business-level English plus another Indian language, a graduate degree, and prior enterprise software implementations or Design-Based Thinking sessions; the role is located in Karnataka or Maharashtra with a hybrid work model, AI-driven screening, and Zendesk’s commitment to equal opportunity and accommodations.

Zendesk is hiring a Technical Product Manager for Audit, Traceability & Observability in Pune, India (hybrid, full-time). The role is an early-career PM position focused on building foundational capabilities for audit logging, traceability, and observability in the Action Builder engine to improve reliability, compliance, and incident response. You’ll own the product roadmap and requirements, collaborate with engineering, SRE, security, and legal/privacy teams, and turn telemetry into features such as searchable audit trails, distributed traces, retention policies, RBAC, plus dashboards and runbooks. Candidates should have 3+ years of PM or related experience (this is an entry/junior role) with strong technical literacy in distributed systems and observability, understanding of audit/compliance and data privacy, data analysis skills, and excellent communication; nice-to-haves include experience with automation platforms, event schemas, analytics tools, and cloud logging/archival knowledge. The role is restricted to applicants located in Karnataka or Maharashtra with a hybrid on-site schedule, and Zendesk notes AI screening and provides accommodations on request.

Zendesk is seeking a Senior Product Designer for its Agent Workspace in Pune, Maharashtra, with a requirement to work from the office at least three days a week and a hybrid arrangement. The role focuses on leading design for core agent experiences, helping agents triage, prioritize, and resolve issues across channels through rapid prototyping and data-driven iteration. You’ll collaborate with product managers, engineers, content designers, and cross-functional partners to turn ideas into usable experiences while balancing user needs, technical feasibility, and aggressive business timelines, with alignment across global teams. Candidates should have 6+ years of product design experience, a strong portfolio with measurable outcomes, experience with enterprise SaaS workflows (e.g., customer service or CRM), and proficiency in Figma and AI prototyping tools (Lovable, v0, Claude Code) plus usability testing, including experience working across geographies. Zendesk emphasizes diversity and inclusion, offers a hybrid work model, notes that AI may be used in screening, and provides accommodations for applicants with disabilities; eligibility requires being physically located in Karnataka or Maharashtra as per the requisition.

Zendesk is hiring a Staff Software Engineer in Pune to join the Data Applications Engineering team under Enterprise Data & Analytics, building an internal AI-powered GTM Intelligence Platform used by 1500+ employees. In this role you will own end-to-end delivery of complex features and platform components, influence architecture and technical direction, and mentor engineers to raise the team’s technical bar. You’ll design the service architecture for the platform—FastAPI microservices on Kubernetes, Snowflake Semantic Layer integration powering the NQL chatbot, and the AI agent infrastructure—plus develop robust backend microservices and frontend apps with secure API connectivity and strong observability. Required qualifications include a bachelor’s or master’s in CS/Engineering, 8+ years of professional software experience, proficiency in one or more backend languages (e.g., Java, Python, NodeJS, Typescript) and FastAPI, experience with microservices, Kubernetes, cloud platforms, CI/CD, performance profiling, and a demonstrated ability to mentor and translate business goals into technical plans. Location is Pune with a hybrid working model, but Zendesk can only hire candidates physically located in Karnataka or Maharashtra; the company emphasizes equal opportunity, diversity, AI-assisted screening, and accommodations as needed.

This role is a Technical Architect at Zendesk within the Professional Services & Global Engagement team, serving as the technical authority for strategic global customers and shaping robust, scalable architectures and integrations for an AI-driven customer experience. The ideal candidate is a high-energy problem-solver with both technical consulting savvy and full-stack programming expertise, comfortable presenting to customers and advising engineers and C-suite executives. Responsibilities include customer solutioning with SMEs, leading technical discovery to translate business problems into Zendesk solutions, designing and prototyping POCs, collaborating across teams, influencing the product roadmap, and proposing validated workarounds for product gaps. Basic qualifications require a bachelor’s degree or equivalent, 6+ years in software/SaaS with hands-on programming (Ruby, Python, Java, C#, or JavaScript), deep RESTful API experience, and the ability to work in the office 3x per week with a shifting schedule across AMER/APAC/EMEA, with location restrictions in Karnataka or Maharashtra. Preferred qualifications include Zendesk expertise and certifications, global experience, and innovative thinking, with the role operating under a hybrid model and Zendesk’s commitment to diversity, inclusion, AI screening, and accommodations.