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

GitLab presents itself as an intelligent orchestration platform for DevSecOps designed 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. The company stresses a culture that treats AI as a core productivity multiplier and expects all team members to incorporate AI into daily work to drive efficiency, innovation, and impact. The role is a Staff Security Engineer on the Infrastructure Security Team within Product Security, serving as a technical lead across SaaS platforms and self-managed offerings and defining the technical direction for infrastructure security. Responsibilities include setting architectural patterns and security automation, leading multi-quarter security initiatives, conducting threat modeling and reviews, driving AI-assisted security engineering, and mentoring engineers while communicating tradeoffs to engineers and senior leadership. Required qualifications cover expert cloud infrastructure security (AWS/GCP/Azure), Kubernetes, Go/Python/Ruby, IaC security and policy-as-code, hands-on AI in security workflows, multi-team leadership, strong communication, and familiarity with security standards, with GitLab noting flexibility in requirements and encouraging applicants from diverse backgrounds, along with information on benefits and the equal opportunity policy.

GitLab is an intelligent DevSecOps orchestration platform trusted by over 50 million users and more than half of the Fortune 100, with AI as a core productivity multiplier and a high-performance, knowledge-sharing culture. As a Staff Fullstack Engineer - Data Products, you will build GitLab's in‑product insights atop the Data Insights Platform and Knowledge Graph and serve as the technical anchor for reporting dashboards, graph ingestion, and outbound data delivery across GitLab's products and environments. Responsibilities include architecting ingestion, modeling, and synchronization of GitLab and third‑party data into the Knowledge Graph, integrating with Jira, observability tools, Zendesk, and ServiceNow, and designing a Data Marketplace for Snowflake, Databricks, and BigQuery, plus publishing observability data as OpenTelemetry and defining operational readiness. Qualifications include end-to-end ownership at staff level, strong Go/Ruby/Node skills, depth in areas such as reporting/metrics platforms or graph data systems or data warehouse integrations, experience with production data ingestion and multi-tenant SaaS, and clear, collaborative communication with comfort navigating ambiguity; diverse backgrounds encouraged. The Data Products team builds the foundation for turning software delivery data into reliable, actionable intelligence, operating in a high‑ambiguity space, with GitLab offering remote worldwide roles and comprehensive benefits and an equal‑opportunity policy.

GitLab is an intelligent orchestration platform for DevSecOps that aims to boost developer productivity, security, and digital transformation, and it emphasizes AI as a core productivity multiplier across its culture and workflows. The Manager, Engineering, Nonlinear Productivity (Friction Elimination & Solutions) role focuses on breaking the linear relationship between headcount and output by identifying friction in the software development lifecycle and code-generation workflows, testing durable fixes, and determining internal solutions that could become customer-facing products. Responsibilities include surveying internal workflows, evaluating build/buy/adapt options (including AI tooling), prototyping and validating fixes, hiring or managing a small team, driving internal adoption, and building the business case to productize successful fixes while documenting learnings and tracking impact. Candidates should be able to use GitLab, have a track record of shipping technical fixes for developer productivity, operate well in ambiguity, possess people management experience, technical depth, and product judgment, and be familiar with agentic or AI-assisted development tooling; experience moving internal tools toward external products is advantageous. The posting notes the Nonlinear Productivity team’s focus, potential career ladder to Senior Manager, remote/global hiring guidelines, comprehensive benefits, and a strong emphasis on equal opportunity and accommodations for disabilities, with a reminder of GitLab’s privacy and recruitment policies.

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.

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 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 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 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.

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 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.

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.