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Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country with a legal entity; this role is fully remote but must be located in India. They’re seeking a Senior Full Stack Software Engineer to deliver creative improvements for their engineering teams. To become a 100-year company, Atlassian aims to build a world-class engineering organization of empowered teams within a unified R&D effort, focusing on helping customers move to the cloud while continuing to deliver value across Jira, Confluence, Trello, and Bitbucket. In this role you will guide technical direction for large-scale features, evaluate trade-offs for correctness, performance and customer impact, collaborate with product, design and engineering to shape strategy, ship secure, reliable, well-tested code, and respond to production issues as they arise. You will also contribute to code reviews and documentation, address complex bug fixes with security and performance in mind, and mentor teammates to elevate the team's capabilities.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country with a legal entity, giving employees more control over family, personal goals, and priorities. They are seeking a Senior Frontend Software Engineer to maintain web frontend systems and deliver great user experiences. The future team aims to be a world-class, empowered engineering organization within a unified R&D group focused on cloud migration and delivering value across Jira, Confluence, Trello, and Bitbucket. The role emphasizes building high-performing client code, collaborating with engineers, designers, and managers to address user pain points, and contributing to code reviews, documentation, and complex bug fixes. It also involves leading projects from technical design through launch and operation, and onboarding and mentoring junior engineers.

Atlassian offers flexible work locations, allowing employees to work in an office, from home, or a mix, and it hires in any country where it has a legal entity. They are looking for a Senior Backend Software Engineer to join and drive creative improvements for engineering teams, as part of a world-class, empowered organization. Atlassian aims to be a 100-year company and focuses its engineering on AI, cloud adoption, and delivering value through Jira, Confluence, Trello, and Bitbucket. In this role, you will autonomously drive large, complex projects from design to launch, tackle architecture challenges, lead code reviews and documentation, handle high-risk bug fixes, and model thorough reviews. You will partner with multiple teams on company-wide initiatives, transfer knowledge from your current language to Java, and mentor junior teammates.

Atlassian offers flexible work options, allowing employees to work from the office, from home, or a combination, with hiring possible in any country where the company has a legal entity. The Bengaluru office exists, but eligible candidates can work remotely across India. The company is seeking a Principal Full Stack Software Engineer to join a team focused on delivering creative improvements for engineering teams. Atlassian’s engineering organization aims to be a 100-year company with empowered teams and strong infrastructure, prioritizing AI initiatives and the transition to the cloud across Jira, Confluence, Trello, and Bitbucket. In this role, you will tackle large, complex problems from design to launch, provide technical leadership, address architecture challenges, champion technical standards, collaborate on company-wide initiatives, and mentor the next generation of technical leaders.

Atlassians can choose where to work—office, home, or a hybrid arrangement—to better support their family, personal goals, and priorities. The company hires people in any country where it has a legal entity, with a Bengaluru office and eligible candidates able to work remotely across India. Atlassian is seeking a Principal Frontend Software Engineer to design, build, evolve, and maintain web frontend systems that deliver great user experiences. The role sits within a unified R&D team that aims to create a world-class engineering organization of empowered teams, prioritizing cloud migration and continued value across Jira, Confluence, Trello, and Bitbucket. Responsibilities include building high-performing client code, designing scalable UI systems, collaborating with engineers, designers, and managers, leading code reviews and bug fixes, driving project success from design to launch, and onboarding and mentoring other engineers (reporting to a Senior Engineering Manager or Head of Engineering).

Atlassian offers flexible work options—office, from home, or hybrid—and can hire people in any country where it has a legal entity; its office is in Bengaluru, but eligible candidates can work remotely across India. The company is seeking a Principal Backend Software Engineer to join the team and deliver creative improvements for engineering teams. Atlassian’s engineering organization aims to be a 100-year company with empowered teams and robust tooling, prioritizing AI initiatives and the transition to cloud while supporting Jira, Confluence, Trello, and Bitbucket. In this role you’ll regularly tackle large, complex problems from design to launch, deliver cross-team solutions, determine plans of attack on big projects, address architectural challenges, apply standards, lead code reviews and complex bug fixes, and set the standard for thorough reviews. You’ll mentor junior engineers, transfer your depth of knowledge from your current language, and partner with engineering teams on company-wide initiatives spanning multiple projects.

Atlassian offers flexible work options—office, remote, or hybrid—so employees can balance family and personal goals, and the company can hire in any country where it has a legal entity. Interviews and onboarding are conducted virtually as part of a distributed-first approach; this particular role is fully remote but must be located in India. The team envisions a 100-year company built on a world-class, empowered engineering organization within a unified R&D effort, focusing on helping customers move to the cloud while delivering value across Jira, Confluence, Trello, and Bitbucket. They are seeking a Full Stack Software Engineer who will build REST APIs, client-facing React components, configure backend monitoring, create CI/CD pipelines, integrate with a CMS, and develop features and services with reliability in mind. The role emphasizes collaboration to write the future and empower teams to do their best work.

Atlassian offers flexible work options (office, remote, or hybrid) and hires people in any country where they have a legal entity. The Frontend Software Engineer role is fully remote but requires the candidate to be located in India. The position focuses on maintaining web frontend systems to deliver fast, high-quality user experiences. The engineering team is a unified R&D group aiming to build a world-class organization that supports cloud migration and delivers value across Jira, Confluence, Trello, and Bitbucket. Responsibilities include building high-performing client code, collaborating with engineers, designers, and managers, contributing to code reviews and documentation, fixing complex bugs, leading technical design and launches, and mentoring junior engineers.

Atlassian offers flexible work locations—office, home, or a hybrid arrangement—and hires in any country where it has a legal entity; this role is remote, with a Bengaluru office and flexible remote options across India. The team envisions a world-class, empowered engineering organization as part of a unified R&D group that enables the best work through the right tools and infrastructure. Engineering focuses on moving customers to the cloud while delivering value across core products like Jira, Confluence, Trello, and Bitbucket. You will report to an Engineering Manager in the R&D teams, build and ship features daily in a highly scalable, cross-geo environment, review code for readability, testing, reliability, security, and performance, mentor teammates, and ensure visibility and monitoring of backend services within Agile processes. The culture emphasizes open, collaborative work with engineers, architects, product managers, and designers, plus formal and informal knowledge sharing through sessions and demos.

Atlassian supports flexible work arrangements, letting employees work in the office, from home, or in a hybrid setup to better balance family, personal goals, and priorities. Atlassian can hire people in any country where it has a legal entity. The Principal Enterprise Delivery Manager leads Atlassian’s largest, most complex cloud migrations, acting as a strategic advisor and technical consultant to senior customer decision-makers while directing delivery and governance. The role requires business acumen and technical fluency, collaboration with cross-functional teams, and expertise in shaping cloud strategies and enabling the adoption of cloud features, including AI. Responsibilities include end-to-end migration strategy, risk readiness and remediation, technical architecture guidance, trusted-advisor leadership, delivery governance and accountability, stakeholder communications, escalation management, team leadership, and ongoing industry insight.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity to help employees balance family, personal goals, and priorities. The Principal Enterprise Delivery Manager leads Atlassian’s largest, most complex customers through cloud transitions, acting as a reliable strategic advisor and technical consultant to senior decision-makers while steering the delivery and governance of large-scale migrations. The role requires business acumen and technical fluency and involves collaborating with cross-functional teams (Sales, Solutions, Support, Product Management, Channel Partners, and Engineering) to navigate architectural decisions, risk mitigation, performance guardrails, and adoption planning; it suits someone who thrives at the intersection of strategy, data, and execution from delivery management, DevOps, QA/testing, or engineering backgrounds. Responsibilities include leading end-to-end migration strategy, risk management (readiness assessments, guardrail interpretation, remediation actions), and technical architecture (APIs, webhooks, automation), while serving as a trusted advisor to senior leadership through data-backed insights and governing the migration lifecycle from discovery to go-live. The role also emphasizes driving accountability, stakeholder communications and escalation management, mentoring and team enablement, staying ahead of industry trends, and proposing innovative cloud solutions—including AI—to help the most strategic customers successfully migrate to Cloud.

- Atlassian offers flexible work options and can hire in any country where it has a legal entity. - The Principal Enterprise Delivery Manager leads Atlassian’s largest, most complex customer migrations to the cloud, acting as a strategic advisor and technical consultant while governing the delivery of those migrations. - The role combines business acumen and technical fluency and collaborates with cross-functional teams (Sales, Solutions, Support, Product Management, Channel Partners, and Engineering) to navigate architecture decisions, risk, performance guardrails, and adoption planning. - Core duties include end-to-end migration strategy, risk management, technical architecture (APIs, webhooks, automation), trusted advisor guidance, delivery governance, accountability, stakeholder and escalation management, and team leadership, all guided by a data-driven mindset. - The position emphasizes staying ahead of industry trends to propose innovative cloud solutions, including AI, to enable successful cloud adoption for Atlassian’s most strategic customers.

Atlassian supports flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity to help employees balance personal priorities. The Principal Enterprise Delivery Manager leads Atlassian’s largest, most complex cloud migrations, acting as a strategic advisor and technical consultant to senior customer decision-makers while steering delivery and governance. The role combines business acumen with technical fluency and requires collaboration with Sales, Solutions, Support, Product Management, Channel Partners, and Engineering to navigate architecture, risk, performance guardrails, and adoption planning. Responsibilities include end-to-end migration strategy, risk management and remediation guidance, API/webhook/automation architectural guidance, and disciplined delivery governance from discovery to go-live, with escalation and stakeholder management. It also emphasizes mentoring, data-driven decision making, industry trend awareness, and proposing innovative cloud-adoption solutions, including AI features, to help Atlassian’s most strategic customers succeed in the cloud.

Atlassian offers flexible work options—office, home, or hybrid—so employees can balance family, personal goals, and priorities. They hire people in any country where the company has a legal entity. They are seeking a Principal Data Engineer to join the Data Engineering Team as a tech lead and architect, building data solutions and applications that power crucial business decisions. The role requires an open-minded, structured thinker who can build systems at scale, drive data practices, develop backend systems and data models, and foster Atlassian's data-driven culture while owning the technical evolution of data engineering and ensuring incremental delivery, risk management, and considerations of performance, scale, and security. You will coordinate a team of engineers, mentor and coach them, collaborate with counterparts in other departments, and help embed a collaborative, growth-oriented culture.

At Atlassian, employees can work anywhere there is a legal entity, and the role requires 10+ years of SaaS experience focusing on identifying, qualifying, onboarding, and activating new GSI relationships to unlock strategic enterprise access and scalable delivery. Create business cases, activation plans, and joint business plans for named GSIs, covering value proposition, target accounts, solution focus, enablement requirements, and pipeline goals, and partner with regional sales leaders, account executives, and solution teams to show how GSIs can unlock larger deals, improve win rates, and increase coverage. Lead account mapping, joint account planning, and opportunity planning between Atlassian sellers and partner teams, and work with Partner Solutions, solution engineers, and partners’ practice leaders to build differentiated offerings on the Atlassian platform aligned to market demand in India. Drive internal awareness that GSIs are force multipliers and orchestrate cross-functional execution with marketing, enablement, operations, finance, legal, and customer-facing teams to move partners from signed agreements to active market impact, while tracking performance with metrics such as accreditations, practice readiness, joint pipeline, influenced and sourced ACV, account engagement, and time-to-first-win. Act as the voice of the India market by feeding partner insights, competitive dynamics, and customer needs into regional and global strategy, with success defined as turning a small set of priority GSIs into active, credible, solution-led Atlassian practices that generate pipeline, open executive doors, and deliver customer outcomes.

At Atlassian, employees can work from the office, home, or a hybrid arrangement, and the company hires in any country with a legal entity, with interviews and onboarding conducted virtually as part of a distributed-first approach. The Account Management team focuses on developing relationships with Atlassian’s largest, most strategic customers, partnering with 82% of the Fortune 500 and clients like IBM, Tesla, Dish, and Lufthansa to help them realize value across our solutions. They operate under Atlassian’s values to guide go-to-market improvements, with account managers who proactively own retention and expansion of core products to transform enterprise customers. The role involves accelerating growth by leveraging existing customer footprints, developing senior relationships, managing high-value renewals and expansions, and partnering with Sales on account planning and growth through market and white-space analysis. The ideal candidate is a collaborative, adaptable team player who can manage multiple opportunities, excels at discovery, advocates for the customer, has a proven revenue track record, and can forecast, identify risks, and influence cross-functional partners, reporting to the Manager, Strategic Account Management APAC.

GitLab presents itself as an AI-enabled intelligent orchestration platform for DevSecOps with over 50 million users and Fortune 100 customers, emphasizing AI as a core productivity tool and a culture that values innovation and collaboration. The role is Staff Backend Engineer on the Fulfillment Workflow Monitoring (Catch All) team within Observability, Monitoring, and Integrations in the Monetization section, building a greenfield telemetry, detection, and reconciliation stack for billing and data across CustomersDot, Salesforce, and Zuora to protect revenue and customer experience. Responsibilities include designing and operating observability across the Monetization stack (metrics, logs, traces), implementing automated anomaly detection, data integrity checks, defining SLOs/SLIs, incident response, and exploring AI/ML to predict issues, while collaborating with Product, Finance, Support, and other teams. The ideal candidate has Ruby on Rails experience, site reliability/observability expertise, experience setting technical direction, and familiarity with Prometheus, Grafana, OpenTelemetry, plus exposure to data stores like ClickHouse and data pipelines such as NATS JetStream; Python for anomaly detection or familiarity with billing systems like Zuora or Salesforce is a plus. This remote, worldwide role is part of a cross-functional Monetization team and GitLab provides comprehensive benefits while emphasizing equal opportunity, privacy, and location-based guidelines.

GitLab is an AI-powered orchestration platform for DevSecOps that helps organizations boost developer productivity, operational efficiency, security/compliance, and digital transformation. It serves over 50 million registered users and is trusted by more than half of the Fortune 100, with AI embedded as a core productivity multiplier across teams. The role is Backend Engineer, Monitoring and Anomaly Detection (Monetization), on a greenfield Fulfillment Workflow Monitoring team responsible for telemetry, detection, and reconciliation across CustomersDot, Salesforce, and Zuora to protect revenue and customer experience. You’ll design and operate metrics, logs, and traces, implement automated anomaly detection, define SLOs/SLIs, and explore AI/ML to predict issues, while collaborating with Product, Finance, and Support. Requirements include Ruby on Rails and experience in site reliability/observability with Prometheus, Grafana, OpenTelemetry, plus exposure to Click House and CDC/event streaming (NATS JetStream), and the company emphasizes remote work, growth benefits, and equal opportunity with accommodation considerations.

GitLab describes itself as an intelligent orchestration platform for DevSecOps that boosts developer productivity, operational efficiency, security, and digital transformation, trusted by over 50 million users and many Fortune 100 companies, while embedding AI as a core productivity multiplier across its team. The Senior Backend Engineer role involves designing and evolving backend capabilities, solving high-scope problems, bridging product, frontend, infrastructure, data, and security, and setting standards for a high-scale global product in a remote-first, asynchronous environment. You’ll enjoy shaping the architecture, influencing technical direction, experimenting with agentic AI in production engineering workflows, and collaborating closely with PMs and designers to ensure user value. The role requires deep backend expertise, adaptability with modern languages, architectural judgment for modular boundaries, and agentic AI experience, with helpful experience in distributed systems, containers, databases, and open-source or SaaS contexts. GitLab provides benefits for health and finances, equity compensation, growth funds, parental leave, and a strong commitment to equal opportunity and inclusion; roles are remote with potential location-based eligibility, and candidates are encouraged to apply even if they don’t meet every qualification.

GitLab is an intelligent orchestration platform for DevSecOps that emphasizes AI as a core productivity multiplier and a high-performance culture built on continuous knowledge exchange. The Senior Software Engineer role sits in GitLab Security, focusing on the data layer for vulnerability and dependency management and helping move toward modular services, owning significant deliverables from design through delivery. You’ll design and develop backend systems for security report ingestion, storage, indexing, querying, and third-party integrations, primarily using Ruby on Rails and PostgreSQL, with opportunities to contribute to Go or Rust services and to deepen PostgreSQL expertise. Candidates should have professional backend experience at scale with ownership, strong PostgreSQL skills, proficiency in Ruby on Rails (and familiarity with Go or Python), security tooling experience, and the ability to collaborate across product, design, frontend, and engineering teams, with fluency in using AI tools to improve delivery. The team is globally distributed across the United Kingdom, Poland, the Netherlands, and India, roles are remote with global hiring guidelines and a commitment to equal opportunity, diversity, and accommodations for candidates from underrepresented groups to apply.

GitLab presents itself as an AI-powered DevSecOps orchestration platform trusted by over 50 million users and more than half of the Fortune 100, emphasizing AI-driven productivity and a high-performance, inclusive culture. The Senior Ecosystem Sales Manager in India (Mumbai or Delhi) will build and scale GitLab’s partner ecosystem across hyperscalers, large India-centric SIs, and AI-native partners, owning strategic relationships and the AWS/GCP Marketplace motion. Key responsibilities include developing joint business plans with priority partners, driving partner-sourced pipeline and revenue with a quota, collaborating with the India sales and APJ ecosystem teams, and contributing to partner enablement and go-to-market programs. Qualifications require 15+ years in channel/partner management or ecosystem sales, a track record across multiple partner types including hyperscalers, a strong India-based network, and the ability to manage a partner-sourced revenue quota with fluent English (based in or willing to relocate to Mumbai or Delhi). Nice-to-haves include hyperscaler experience, familiarity with GitLab/DevSecOps, and experience shaping a partner coverage model; success in 6–12 months includes joint business plans, increased strategic engagement, growing partner pipeline, and a refined India ecosystem coverage model, supported by GitLab’s benefits and equal-opportunity policies.

GitLab is an intelligent DevSecOps orchestration platform that boosts developer productivity, operational efficiency, and security, trusted by millions and more than half of the Fortune 100, with AI integrated as a core productivity multiplier. The company is seeking an experienced Product Engineer with full-stack experience and a backend focus to deeply understand user needs, shape feature requirements, and collaborate with product managers, users, and contributors on the work items platform, including AI features via GitLab Duo. Responsibilities include designing and implementing backend features across the GitLab monolith (GraphQL and REST APIs, real-time subscriptions), improving PostgreSQL performance, enabling real-time work item updates, delivering proofs of concept, ensuring quality through testing and safe rollouts, and mentoring engineers. Requirements include a strong product mindset, prior leadership of engineers, Ruby on Rails backend experience in a large codebase, PostgreSQL optimization, API design for GraphQL/REST with scalable and backward‑compatible contracts, and strong communication; experience integrating AI into development workflows or working with Elasticsearch/ClickHouse is a plus; the Planning Views team consists of four engineers, asynchronous, and distributed across regions. GitLab offers remote, worldwide roles with benefits such as flexible PTO, equity, an Employee Stock Purchase Plan, parental leave, a Growth and Development Fund, and an inclusive, equal-opportunity policy, along with a Recruitment Privacy Policy.

Atlassian offers flexible work options—office, home, or a mix—and hires in any country with a legal entity, including remote opportunities from India through the Bengaluru office under a TEAM anywhere approach. Atlassian India is guided by the mission to unleash the potential of every team, with well-known products like Jira, Confluence, and Bitbucket that support teamwork across diverse processes. The Search Platform team powers all of Rovo Search and search across Atlassian products, aiming to securely and reliably make data searchable through a fast, globally scalable, enterprise-grade infrastructure, with Rovo AI relying on search for knowledge access. The role embraces the ShipIt philosophy and involves handling complex problems from design to launch, planning large projects, solving architectural challenges, leading code reviews, fixing high-risk bugs, setting standards, and partnering across engineering teams on company-wide programs. It also includes mentoring junior team members and transferring depth of knowledge across programming languages to excel as a Software Engineer.

GitLab is an intelligent, AI-enabled DevSecOps platform used by over 50 million registered users and more than half of the Fortune 100, with a culture that treats AI as a core productivity multiplier and values every voice. The Staff Software Engineer role in GitLab Security leads two critical areas—the data layer for vulnerability and dependency management and the shift toward modular services outside the GitLab monolith. You’ll design and develop backend systems for security report ingestion, storage, indexing, querying, and integrations with key third-party systems, primarily using PostgreSQL and Ruby on Rails, with opportunities to work on newer services in Go or Rust. Required qualifications include hands-on leadership of large backend projects, strong PostgreSQL experience, proficiency with Ruby on Rails (and/or Go or Python), experience with security tooling or vulnerability/dependency management, and excellent collaboration and communication across product, design, frontend, and engineering teams; transferable experience is welcome. The Vulnerability Management team is distributed across the United Kingdom, Poland, the Netherlands, and India, with remote roles and some location-based eligibility, and GitLab emphasizes equal opportunity, comprehensive benefits, and accommodations in recruitment.

GitLab is an AI-enabled DevSecOps orchestration platform used by over 50 million registered users and many Fortune 100 companies, focusing on productivity, security, and digital transformation. The Staff Backend Engineer on the Events & Messaging Platform will unify Sidekiq and a purpose-built event bus into a durable, scalable, multi-tenant messaging system that underpins GitLab’s products and third-party integrations, including migrating existing production workloads from legacy systems. You will lead technical execution for the CD platform, decompose complex architectures into deliverable work, mentor engineers, participate in on-call rotations, and contribute to cross-functional technical proposals and architectural documents. The role requires deep Go backend experience in high-scale environments, expertise in distributed systems and durable workflow execution, extensive Docker/Kubernetes and GitOps experience, and the ability to translate architecture into executable plans while incorporating AI tools and communicating effectively. GitLab offers remote, global opportunities with comprehensive benefits, growth programs, and a strong commitment to equal opportunity, inclusion, and accommodating candidates with varying levels of experience in an async, collaborative environment.

GitLab is an intelligent DevSecOps orchestration platform that increases developer productivity, operational efficiency, security and compliance, and digital transformation, trusted by 50M+ users and many Fortune 100 companies, with AI embedded as a core productivity multiplier and a culture of high performance and knowledge exchange. The Senior Backend Engineer - Database Change Management will replace GitLab's sequential migration system with a dependency-graph model to enable faster, safer upgrades for GitLab.com and self-managed customers, and will lead the design and delivery of a migration validation and test framework with versioned fixture data across about 1,000 tables and a CI-integrated test runner; the role reports to a US West Coast manager and can be hired at Staff level with ownership of architecture decisions for the India-based engineering group. You’ll lead the migration framework from approach to production, contribute to safe-ordered, parallelized upgrades with three-phase low-downtime, mentor engineers, document decisions asynchronously, review migrations for safety and backward compatibility, and collaborate with Distribution, QA, Database Architecture, Database Automation, and framework teams; at Staff level you’ll author and defend architecture proposals and represent the team in technical reviews. Requirements include deep Ruby on Rails experience (or comparable depth in another migrations framework such as Django or Ecto), production PostgreSQL experience with large-table schema changes and load-related DDL behaviors, a track record delivering end-to-end systems and mentoring engineers, strong written communication, independence in distributed work, and sound judgment balancing reliability, safety, backward compatibility, and delivery; plus an interest in serving as a senior technical presence for an India-based team across regions. The team is undertaking the largest migration-system change in GitLab’s history to make upgrades safer and easier for customers, and GitLab offers remote-friendly roles with benefits such as flexible PTO, equity, growth funds, parental leave, and an inclusive, merit-based, nondiscriminatory policy with accommodations.

GitLab is an AI-enabled DevSecOps orchestration platform trusted by over 50 million users and more than half of the Fortune 100, built to boost developer productivity, security, and digital transformation, with AI embedded in daily workflows and a high-performance, inclusive culture. The Intermediate Backend Engineer - Database Change Management role focuses on building the safe, fast, and predictable database upgrade experience for GitLab.com and self-managed customers, using Ruby on Rails and PostgreSQL in an all-remote, asynchronous environment. You’ll build and test the system that applies schema changes during upgrades, maintain testing frameworks, implement safeguards to prevent failed upgrades, review migrations for safety and backward compatibility, and collaborate cross-functionally while documenting procedures to improve reliability. Required qualifications include professional software engineering with PostgreSQL in large production environments, Ruby on Rails expertise, the ability to reason about reliability and backward compatibility, strong written communication, a self-directed, async-friendly work style, alignment with GitLab values, and openness to cross-team collaboration; experience with operations or infra teams is a plus. The team is a remote backend group within Database Excellence focused on upgrade safety, and GitLab offers extensive benefits, a commitment to equal opportunity and non-discrimination, location-based hiring guidelines, and accommodations as needed through the recruitment process.

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. It serves more than 50 million registered users and is trusted by over half of the Fortune 100 to ship better, more secure software faster, with AI embedded as a core productivity multiplier across teams. The role of Engineering Manager, GitLab Delivery - Operate, guides a globally distributed team to make deploying, upgrading, and running GitLab reliable across customers’ self-managed infrastructure, GitLab.com, and GitLab Dedicated. Key responsibilities include hiring and developing an all-remote, asynchronous team; owning reliability and upgrade experiences; advancing deployment tooling, observability, zero-downtime upgrades, and incident management; and aligning with Product Management and Infrastructure Platforms to meet customer needs. GitLab supports full-time employees with flexible benefits, remote-friendly global hiring, and an equal-opportunity policy, along with privacy protections and a commitment to a diverse, inclusive workplace.

The Technical Account Manager role at Zendesk acts as an extension of major customer teams, combining technical expertise with business insight to maximize value from Zendesk by understanding client strategy, advising on implementation approaches, and designing technical solutions, while partnering with clients and internal teams rather than performing implementations themselves. Core responsibilities include building relationships across organizational levels, documenting CX/EX ecosystems and architectures, creating tailored Customer Technical Roadmaps, conducting regular reviews, coordinating Zendesk resources for implementations, resolving critical issues, advocating for customer needs with product teams, and collaborating with TAM peers for continuous improvement. Required qualifications include deep knowledge of Zendesk products and environments, 10+ years of technical experience (at least 5 in enterprise settings), a proven track record leading technical initiatives, service management and customer/employee experience expertise, strong customer-facing leadership, excellent cross-level communication, SaaS, API, and workflow understanding, and expertise in at least one industry vertical. The role demands strategic vision to identify unrecognized opportunities, the ability to translate business objectives into technical roadmaps, skills to deliver measurable ROI, forward-thinking adaptability to technology shifts, and leadership to align multiple stakeholders with competing priorities, along with continuous learning. Zendesk offers a hybrid, inclusive workplace with location eligibility limited to Karnataka or Maharashtra, equal opportunity and accommodations, AI screening disclosures, and a commitment to diversity and inclusion, inviting candidates to build a long-term career while making a meaningful impact on client outcomes.

Zendesk is seeking an Enterprise Account Executive for North & East India to drive top-line revenue by acquiring new enterprise customers and expanding existing partnerships in the SaaS space. The role involves creating quarterly territory plans, cross-selling, managing C-level relationships, and leading complex, multi-month sales cycles with proof-of-concept stages to build a robust pipeline and accurate forecast. Candidates should have a BA/BS or equivalent, 10+ years in cloud/software B2B sales with a proven quota track record, experience selling to VP/C-level executives, and familiarity with Salesforce, Outreach, Clari, Seismic, and Looker, plus willingness to travel. The position lists the NCR region as the base but notes Zendesk can only hire candidates who are physically located and plan to work from Karnataka or Maharashtra, with a hybrid work model and travel requirements. Zendesk emphasizes fairness, inclusion, and equal opportunity, notes that AI screening may be used, and offers accommodations for applicants with disabilities upon request.

Zendesk is seeking an experienced product manager to lead AI-augmented product experiences, including the notifications platform for agents and admins, with a focus on KPI-driven customer service outcomes. The role requires defining strategy and roadmaps, working cross-functionally with engineering, design, data science, marketing, and other teams, and gathering insights from 130k+ customers to design scalable solutions. Key responsibilities include delivering inspiring product leadership, shaping 0-1 features, owning KPIs, and fostering a culture of product excellence and customer-centricity. Qualifications include a bachelor’s degree in CS (or related field), 5+ years in B2B SaaS product management with AI experience, strong technical and leadership skills, and excellent communication and analytical abilities. The position is hybrid and based in Karnataka or Maharashtra, India, with equal opportunity hiring and accommodations for disabilities; AI-driven screening may be used, and candidates must be physically located to work from the specified Indian states.

GitLab is an intelligent DevSecOps orchestration platform that boosts developer productivity, operational efficiency, security, and digital transformation, trusted by over 50 million users and many Fortune 100 companies, with AI embedded as a core productivity multiplier. The company fosters a high-performance, value-driven culture where every voice is valued and continuous knowledge exchange accelerates careers and innovation. The Engineering Manager, Database Change Management role leads a remote backend team in the Database Excellence stage, responsible for database health and upgrades across GitLab.com and self-managed deployments, and for replacing GitLab’s sequential migration system with a graph-based, three-phase upgrade approach. The role involves building and growing an India-based engineering cluster, balancing production health with a long-horizon replatforming program, protecting the critical path from interruptions, coaching engineers, and operating asynchronously with written decision records and cross-functional collaboration. Qualifications include remote-team management experience, production PostgreSQL expertise, leadership of long-horizon platform programs, hiring and team-building skills, strong written communication, and collaboration across software, distribution, database, and infrastructure teams; GitLab supports fully remote work worldwide with comprehensive benefits and an inclusive, nondiscriminatory policy.

Atlassian offers flexible, distributed-first work options—office, home, or hybrid—and can hire from anywhere with a legal entity, with virtual interviews and onboarding. As a Principal Forward Deployed Engineer, you’ll be at the forefront of applied AI, collaborating with customers and cross-functional teams to deliver AI-powered solutions and make a tangible business impact. You will lead the design, development, and deployment of AI/ML solutions using Rovo, build robust integrations in Python/JavaScript for APIs and enterprise systems, and help guide product direction by solving customers’ last-mile papercuts. You will oversee end-to-end production deployment, continuous evaluation and improvement, navigate AI risk and data privacy (GDPR) and regulatory requirements, mentor senior engineers, and clearly communicate technical concepts to diverse stakeholders. Atlassian aims for equitable, competitive compensation, with base pay within a range and potential benefits, bonuses, commissions, and equity.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, efficiency, security, and digital transformation, with over 50 million users and Fortune 100 trust, and a culture that treats AI as a core productivity multiplier. The Observability, Monitoring, and Integrations team sits in Monetization, and the Senior Backend Engineer on the Monetization Platform Integrations team will design, build, and maintain integrations that connect CustomersDot and Monetization services to enterprise applications like Salesforce and Workato, owning API contracts and ensuring data integrity. Projects include API contracts with Salesforce, Workato, and Zuora; event-driven integrations using webhooks and message-based patterns; resilient synchronization with retries and idempotent workflows; and reconciliation and data integrity checks across financial and subscription systems. You should bring experience with Ruby on Rails and PostgreSQL in production, designing REST and GraphQL APIs with versioning and backward compatibility, familiarity with event-driven patterns and data governance, and the ability to communicate clearly in a remote, asynchronous environment; experience with NATS JetStream or billing systems like Zuora or Salesforce is a plus. GitLab operates globally with remote roles and an emphasis on inclusion, offering benefits like flexible PTO, equity, parental leave, and privacy and equal-opportunity policies; applicants from diverse backgrounds are encouraged to apply.

Atlassian offers flexible work locations (office, home, or hybrid) and hires people in any country with a legal entity, with virtual interviews and onboarding as part of a distributed-first approach. The role is Sales Development Representative (APAC) reporting to the APAC Regional Sales Development Manager, focusing on outbound prospecting into a defined India territory and converting qualifying meetings into pipeline. Responsibilities include proactive outreach (cold calls, emails, and other methods) to engage decision-makers, researching, personalizing, prioritizing, using AI, and sharing successful approaches with the team. They should ask questions that uncover the business problem and its costs, collaborate with sales, marketing, partner, and operations to develop lead-generation strategies, and navigate objections with value-driven messaging. The position also involves articulating the value proposition of Atlassian's products, building a pipeline in partnership with Account Executives and Marketing, and using tools like Salesforce, Gong, Outreach, and LinkedIn Navigator.

Atlassian supports flexible work options—office, home, or a combination—and conducts interviews and onboarding virtually as part of its distributed-first approach, hiring in any country where it has a legal entity. The Sales Development Representatives partner with the Sales and Success Account Teams to build sales pipelines while delivering a delightful customer experience, reporting to the APAC Regional Sales Development Manager. The role owns outbound prospecting into a defined India territory, qualifying meetings into pipeline, conducting cold calls and emails and other outreach to engage decision-makers, and uses AI throughout. They emphasize research, personalization, preparation, prioritization, and sharing effective tactics with the team; they ask questions to uncover underlying business problems and costs of inaction, and collaborate with sales, marketing, partner, and operations to develop lead-generation strategies. They navigate objections with value-driven messaging, articulate the value proposition of Atlassian’s products, build a pipeline in partnership with Account Executives and Marketing, and use tools like Salesforce, Gong, Outreach, and LinkedIn Navigator.

Atlassian supports flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. The company serves over 250,000 customers worldwide, including NASA, IBM, Hubspot, Samsung, and Coca-Cola, with a mission to advance teams through value-driven software. The role focuses on owning a portfolio of enterprise customers, building executive relationships, and guiding onboarding, adoption, and value realization as a trusted advisor. It emphasizes guiding customer journeys with predictive signals, delivering value at scale through webinars and outreach, maintaining product and industry expertise, mitigating churn, and acting as the voice of the customer. The ideal candidate has 10+ years in customer success or SaaS, strong executive stakeholder management, Jira/Confluence knowledge, cross-functional collaboration, and experience with Gainsight, Salesforce, and BI tools.

At Atlassian, employees can choose where to work—office, home, or a mix—while the company hires in any country with a legal entity, and interviews and onboarding are conducted virtually as part of a distributed-first approach. The Sales Development Representative (SDR) role partners with Sales and Success Account Teams to build the sales pipeline and deliver a delightful customer experience, reporting to the APAC Regional Sales Development Manager. Responsibilities include owning outbound prospecting in a defined India territory, qualifying meetings into pipeline, conducting cold calls and emails, and using AI throughout the process. The SDR should research, personalise, prepare, prioritise, and share effective tactics with the team, ask questions to uncover underlying business problems, and collaborate with sales, marketing, partner, and operations to develop lead-generation strategies while navigating objections with value-driven messaging. They must articulate the product’s value proposition, establish communication with prospects, and build pipeline in partnership with Account Executives and Marketing, using tools like Salesforce, Gong, Outreach, and LinkedIn Navigator.

SmartBear delivers application integrity for modern tech stacks with AI-speed governance, offering deep test automation, API lifecycle management, and observability with integrations across the SDLC to raise quality for delivery teams. It is trusted by 32,000 organizations, including 75% of the largest financial institutions, with brands like Adobe, JetBlue, and Microsoft, and its open-source tools are downloaded more than 100 million times per month and have earned over 30,000 GitHub stars. With best-loved brands such as Swagger, TestComplete, Reflect, QMetry, and Zephyr, SmartBear meets customers where they are to make the technology-driven world better, guided by inclusive culture and social responsibility. The BugSnag role involves supporting enterprise customers adopting BugSnag to improve stability, partnering with Sales for demonstrations and proofs of concept, delivering technical guidance on integration, and collaborating across Product, Engineering, and Customer Success to gather feedback while expanding knowledge in observability and cloud technologies. Requirements include 2+ years in a customer-facing technical role, knowledge of software development fundamentals and debugging, experience with APIs and languages such as JavaScript, Java, .NET, or Python, strong communication, a curious and collaborative mindset, and a culture that values growth, diversity, and ethical practices.

SmartBear delivers application integrity for modern tech stacks with AI-speed governance, offering deep test automation, API lifecycle management, and observability across the SDLC for thousands of organizations, including major financial institutions and brands like Adobe, JetBlue, and Microsoft. Its open-source tools are downloaded over 100 million times per month and have earned more than 30,000 GitHub stars, with flagship brands such as Swagger, TestComplete, Reflect, QMetry, and Zephyr. The company invites new colleagues to join a dynamic team solving critical software-quality challenges in an AI-driven world, with opportunities to grow across go-to-market, engineering, product, and customer success functions. The BugSnag role focuses on supporting enterprise customers adopting BugSnag, delivering technical demonstrations and proofs of concept, assisting with evaluations, and guiding integration into modern development workflows, requiring 2+ years in a customer-facing technical role and collaboration across sales, product, and engineering. SmartBear emphasizes an inclusive, ethical workplace with career development, global offices, and a commitment to equal opportunity and diverse, respectful experiences.

SmartBear delivers application integrity for modern tech stacks with deep test automation, API lifecycle management, and observability, enabling governance to operate at AI speed across the SDLC. It is trusted by 32,000 organizations—including 75% of the largest financial institutions—and by industry leaders such as Adobe, JetBlue, and Microsoft, with open-source tools downloaded more than 100 million times per month and earning over 30,000 GitHub stars. Its brands include Swagger, TestComplete, Reflect, QMetry, Zephyr, and more, and SmartBear invites customers to learn more at smartbear.com or via LinkedIn, X, and Reddit. The company is hiring a Senior C++ Software Engineer for TestComplete to develop and maintain the testing tool using C++, integrating backend and frontend, with requirements of 6+ years BE experience, Windows programming, Delphi familiarity, OOP, design patterns, CI/CD, and a BS in CS. SmartBear is headquartered in Somerville, MA, with offices worldwide, champions an inclusive, growth-oriented culture, ethical practices, and social responsibility, and promotes a diverse, collaborative workplace that supports the mission to improve software quality.

SmartBear delivers application integrity for modern tech stacks, providing AI-speed governance, deep test automation, API lifecycle management, and observability to ensure software works as intended across the SDLC. With 32,000 customer organizations—including 75% of the largest financial institutions—SmartBear supports brands such as Adobe, JetBlue, and Microsoft, and its open source tools are downloaded more than 100 million times per month with over 30,000 GitHub stars. Its product family includes Swagger, TestComplete, Reflect, QMetry, Zephyr, and others, meeting customers where they are to improve technology-driven outcomes. The Renewals Advisor role focuses on nurturing customer relationships, driving retention and lifetime value, expanding accounts through onboarding and adoption, and identifying upsell and cross-sell opportunities; it requires 2–4 years in a customer-facing software role, a degree or equivalent, and strong communication and relationship-building skills. SmartBear emphasizes inclusion, career growth, and social responsibility, operates globally from its Somerville HQ and offices worldwide, holds industry awards, and is an equal opportunity employer guided by values of being smart, open, driven, accountable, and curious.

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, trusted by 32,000 organizations including 75% of the largest financial institutions and brands like Adobe, JetBlue, and Microsoft. Its open source tools are downloaded more than 100 million times per month and have earned over 30,000 GitHub stars, with best-loved brands such as Swagger, TestComplete, Reflect, QMetry, and Zephyr. SmartBear is dedicated to making the technology-driven world better by solving software quality in an AI-driven era, headquartered in Somerville, MA with offices worldwide, and committed to ethical practices and equal employment opportunity. The Product Owner – Swagger role focuses on owning the product backlog, aligning with Product Management, Engineering, UX, Documentation, and GTM teams to deliver API lifecycle experiences, defining requirements and success metrics, and collaborating to deliver secure, scalable SaaS and on-premises solutions while enabling AI-powered workflows and supporting go-to-market activities. Requirements include 5+ years in product ownership or related technical roles, strong API lifecycle knowledge, experience with SaaS/on-prem software, Agile practices, and excellent communication, with preferred qualifications in AI platforms, API standards, CI/CD, cloud-native architectures, and developer platforms, all within a culture that supports growth, collaboration, and inclusivity.

SmartBear delivers application integrity for modern tech stacks with deep test automation, API lifecycle management, and observability, integrating across the SDLC to set a new quality standard, trusted by 32,000 organizations including 75% of the largest financial institutions and brands like Adobe, JetBlue, and Microsoft, with open-source tools downloaded more than 100 million times per month and over 30,000 GitHub stars. With best-loved brands such as Swagger, TestComplete, Reflect, QMetry, Zephyr, and more, SmartBear meets customers where they are and invites learning at www.smartbear.com or on LinkedIn, X, and Reddit. The company is seeking a Technical Product Manager to drive 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 shaping the API tooling roadmap, owning the backlog, aligning product planning with business goals and emergent AI workflows, partnering with Engineering, Design, Product Marketing, Developer Relations, and Technical Writers, and translating market and customer requirements into technically grounded specs while contributing to AI-native features. Requirements include 7+ years of product management experience (preferably in developer tools, APIs, or SaaS), a technical background, and a proven ability to work with engineers and GTM teams, with familiarity with open-source ecosystems; preferred qualifications include hands-on open-source project experience, OpenAPI Initiative involvement, exposure to AI/ML and MCP, and strong communication, and SmartBear offers growth, an inclusive, diverse culture, and global offices including HQ in Somerville, MA.

SmartBear delivers application integrity for modern tech stacks with continuous, measurable assurance and AI-scale governance, offering deep test automation, API lifecycle management, and observability across the SDLC. It is trusted by 32,000 organizations—including 75% of the largest financial institutions—with customers such as Adobe, JetBlue, and Microsoft, and its open source tools are downloaded more than 100 million times per month and have earned over 30,000 GitHub stars, featuring brands like Swagger, TestComplete, Reflect, QMetry, and Zephyr. Zephyr Enterprise is undergoing a transformation to better align products with end-user requirements, while SmartBear invites people to learn more at www.smartbear.com and follow on LinkedIn, X, and Reddit. As Principal Software Engineer - Java Zephyr Enterprise, you will lead complex changes, provide technical leadership, serve as the subject matter expert, drive strategic direction, mentor developers, and ensure high-quality, well-tested code while collaborating with Solution Architects and the Engineering Manager. The role requires 12+ years as an individual contributor with deep backend Java expertise (Java 8+), Spring Boot/Framework, AWS, relational and NoSQL databases, security, messaging queues, testing and observability, and strong collaboration and communication in a global, equal-opportunity workplace.

SmartBear delivers application integrity for modern tech stacks with deep test automation, API lifecycle management, and observability, serving 32,000 organizations including 75% of the largest financial institutions and brands like Adobe, JetBlue, and Microsoft. Its open-source tools are downloaded over 100 million times per month and have earned more than 30,000 GitHub stars, with best-known brands including Swagger, TestComplete, Reflect, QMetry, and Zephyr. SmartBear is headquartered in Somerville, MA, with offices worldwide, and is committed to an inclusive, ethical workplace celebrated with awards and a focus on growing its people. The role described is People & Culture Director for SmartBear’s India operations, based in Bengaluru on a hybrid model, serving as HRBP to assigned functions and India’s statutory compliance expert, partnering with the Director of Global People Operations and Legal to drive talent, performance, organizational design, engagement, and compliance across all India-based employees. Requirements include 8+ years in senior HRBP/People Partner roles within a high-growth tech environment, strong expertise in performance management and employee relations, deep knowledge of Indian labor law, and experience working in global, distributed teams; the role offers career growth, an inclusive culture, birthdays off, and a mission-driven environment to improve the software quality landscape.

SmartBear delivers application integrity for modern tech stacks with deep test automation, API lifecycle management, and observability, enabling governance at AI-scale across the software development lifecycle. It is trusted by 32,000 organizations—including 75% of the largest financial institutions—and features brands such as Swagger, TestComplete, Reflect, QMetry, and Zephyr; its open-source tools are downloaded over 100 million times per month and have earned 30,000+ GitHub stars. SmartBear serves developers, testers, and engineers worldwide, with headquarters in Somerville, MA and offices globally, all aimed at making the technology-driven world a better place. The job posting describes a pivotal India-based role, the People & Culture Director for SmartBear’s India operations in Ahmedabad, combining hands-on HRBP partnership with statutory compliance across all India-based employees and partnering with leaders to align People & Culture strategies with business priorities. Ideal candidates have 8+ years as a senior HRBP, strong performance management and employee relations skills, deep knowledge of Indian labor law, and a collaborative, inclusive approach; SmartBear promotes growth, celebrates its people, and is an equal opportunity employer.

GitLab is an intelligent DevSecOps orchestration platform used by over 50 million registered users and trusted by more than half of the Fortune 100, with AI framed as a core productivity multiplier for the team. The Deal Desk Strategist role partners with APJ Sales and Revenue teams to shape deal structure, quotes, and bookings, serving as the central expert in the Salesforce-backed quote-to-cash process. Responsibilities include validating opportunities, quotes, and order forms; reviewing contracts for accuracy and intent; advising on pricing options; and coordinating with Sales, Billing, AR, Ecosystem, and Revenue to ensure accurate ARR and smooth collections. Requirements emphasize strong CPQ skills (ideally Zuora), practical Salesforce experience, understanding of revenue recognition in SaaS, and the ability to work in a remote, GMT+10-aligned environment with attention to detail. GitLab highlights an equal-opportunity, remote-friendly culture with comprehensive benefits, location-based hiring guidelines, and encouragement for applicants from diverse backgrounds.

This is a Principal Data Scientist role at Atlassian focused on partnering with business leads to tackle high-impact analytics, strategy, and operations and to turn data into compelling visualizations for leadership decisions. You will collaborate with cross-functional partners on a variety of product and business problems and become a trusted strategic partner through clear structure and rigorous work, applying quantitative analysis, experimentation, and data presentation to develop strategies and solve challenges. The role emphasizes developing hypotheses using multiple analytical approaches and testing opportunities to improve products and influence roadmaps through insights and recommendations. You will forecast and monitor key product metrics, measure the success of product efforts, and shape development by quantifying opportunities, identifying upcoming challenges, and ensuring value for people, businesses, and Atlassian. Atlassian offers flexible work options (office, home, or hybrid), hires globally in countries with a legal entity, and you will use storytelling to communicate insights broadly, including to company leadership.

GitLab is an intelligent DevSecOps orchestration platform used by 50 million-plus registered users and over half of the Fortune 100, designed to boost developer productivity, security, and digital transformation, with AI embedded as a core productivity multiplier and a culture that values every voice. The role: As a Staff Security Engineer in the Infrastructure Security Team within Product Security, you will lead technical direction across GitLab’s public cloud infrastructure (SaaS platforms like GitLab Dedicated and Cells, as well as Self-Managed offerings) and collaborate with partner engineering teams to ensure resiliency and security by design. Key responsibilities include defining architectural patterns and security automation, leading multi-quarter initiatives with clear success criteria, conducting security reviews and threat modeling, shaping the team’s approach to AI-assisted security engineering, serving as an authoritative technical voice, and mentoring engineers while aligning work with business objectives. Qualifications: expert knowledge of cloud infrastructure security (AWS/GCP/Azure), Kubernetes, and programming in Go, Python, or Ruby; extensive experience with Infrastructure-as-Code security (Terraform, Ansible, CloudFormation), policy-as-code, automated compliance, hands-on AI in security workflows, and familiarity with security standards (FedRAMP, ISO 27001, SOC 2, PCI-DSS). GitLab welcomes applicants with varying levels of experience, emphasizes equal opportunity and non-discrimination, offers remote worldwide roles with possible location-based eligibility, and provides benefits along with a recruitment privacy policy.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, with over 50 million registered users and more than half of the Fortune 100 trusting GitLab. The company treats AI as a core productivity multiplier and expects all employees to incorporate AI into daily workflows, fostering a high-performance culture where every voice is valued. The Support Engineer role sits at the intersection of Support and Engineering, working with customers to troubleshoot edge cases by examining Linux systems, logs, and the Rails codebase, and contributing fixes, documentation, and tools that improve support efficiency and influence the product roadmap. Responsibilities include escalating difficult issues, mentoring teammates, driving improvements to support practices and product quality, collaborating cross-functionally to shape roadmaps, and participating in on-call rotations and hiring; candidates should have strong Linux/Git/CI/CD experience, DevOps familiarity, and the ability to translate feedback into product priorities. GitLab operates as a globally distributed, remote-first company with flexible benefits and a strong commitment to equal opportunity, privacy, and inclusive hiring, providing location guidance and accommodations as needed during recruitment.

GitLab is the intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, with over 50 million registered users and trust from more than half of the Fortune 100; AI is embedded as a core productivity multiplier in daily workflows. The company emphasizes a high-performance, values-driven culture where careers accelerate, innovation thrives, every voice is valued, and work is collaborative with industry leaders to solve complex problems. The role is a senior engineer on the Trust and Safety team tasked with engineering security improvements and building abuse-detection and prevention tools for GitLab's SaaS platforms, with a focus on identifying abuse patterns and developing anomaly detection systems; you’ll maintain core abuse prevention systems, create new detection rules, become a core maintainer of the in-house abuse platform, and enhance AI capabilities for mitigation. Required qualifications include strong Ruby on Rails development experience, work on distributed cloud-based applications, cloud-native development with GCP and/or AWS, a proactive security engineering mindset, and comfort working remotely, with interest in “thinking like a hacker” and automation-first defense; experience on AI-native development teams and with agent-based systems is a plus. The Trust and Safety team uses automations and LLM-assisted anomaly detection to proactively detect abuse, collaborates with Security Operations and Red Team, and GitLab offers a US salary range of $139,200–$196,000 plus benefits, with remote worldwide hiring and equal-opportunity policies including accommodations and location-based eligibility.

Atlassian is seeking a Principal Data Scientist to leverage analytics, data science, and AI/ML to identify opportunities, build tools, and influence the Service Collection roadmap. The role requires superb business instincts, comfort with executive stakeholders, proficiency in statistical analyses, expertise in AI/LLMs, and experience partnering with cross-functional teams and mentoring junior data scientists. Responsibilities include shaping strategy and important decisions for Service Collection, defining and reporting department-level KR’s for the R&D team, and building measurement frameworks and ML models to accelerate growth. The candidate will envision, scope, and lead high-impact projects by collaborating with Engineering, Product Management and Design, Data Engineering and Research & Insights teams, while fostering a world-class data science culture through training and mentorship. Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires in any country with a legal entity.

Atlassian is seeking a Principal Data Scientist to scale a fast-growing company by applying data science and AI to support a strategic Service Collection initiative. The role aims to identify opportunities and build tools and AI/ML solutions that influence the Service Collection roadmap and overall product growth. The ideal candidate will have superb business instincts, comfort with executive stakeholders, strong statistical analysis and AI/LLM expertise, cross-functional partnership experience, and mentoring of junior data scientists. Atlassian offers flexible work options and hires in any country with a legal entity. Responsibilities include shaping strategy for Service Collection by blending business acumen with data science, defining department-level KRs, building measurement frameworks and ML tooling, leading high-impact cross-functional projects, and fostering a world-class data science culture through training and mentoring.

GitLab is an intelligent DevSecOps orchestration platform that helps organizations boost developer productivity, operational efficiency, security and compliance, and digital transformation, and it embeds AI as a core productivity multiplier across the team. The role, Senior Manager, Internal Audit focused on Audit Automation & Technology Risk, is anchored in Bangalore, India, reporting to the VP of Internal Audit, and oversees audit automation/innovation, India hub operations, and support of the technology risk audit program. You’ll lead AI-assisted workflows, data analytics, and automation across audit planning, evidence gathering, analysis, execution, and risk monitoring; manage the Bangalore co-source provider and SOX testing; build relationships with India-based engineering, information security, and IT leaders; own technology audit topics from planning through reporting; and mentor the India-based team. Requirements include technology audit and risk management experience, SOX internal controls expertise, data analytics skills (SQL, Python), curiosity about AI/automation, knowledge of DevSecOps/CI/CD risk, experience leading distributed teams, and a bachelor’s degree plus professional certification such as CPA, CIA, CISA, CISSP, CISM, or CRISC. GitLab emphasizes a collaborative, growth-oriented, remote-friendly culture with flexible benefits, equal opportunity policies, and an invitation to apply even if you don’t meet every qualification, noting location-based eligibility guidelines.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, operational efficiency, reduce security and compliance risk, and accelerate digital transformation, trusted by more than 50 million users and many Fortune 100 companies. The company emphasizes AI as a core productivity multiplier and expects all team members to incorporate AI into daily workflows to drive efficiency, innovation, and impact, fostering a high-performance, inclusive culture. The Integration Engineer for UiPath RPA role involves designing, developing, and deploying enterprise-level UiPath automation to replace manual processes, collaborating with stakeholders, and delivering end-to-end solutions with documentation and production support. Qualifications include 3–6 years of UiPath experience, proficiency with UiPath products, experience automating across major enterprise systems, knowledge of Agile/DevOps, SQL/Python, security standards, and preferably UiPath certifications; the role is remote with global eligibility. GitLab offers flexible benefits, growth opportunities, and an inclusive, equal-opportunity employer policy, encouraging applicants from diverse backgrounds to apply, with appropriate privacy and location guidelines in place.

GitLab is an intelligent orchestration platform for DevSecOps that aims to boost developer productivity, operational efficiency, security and compliance, and digital transformation, with over 50 million users and broad Fortune 100 trust, and a culture that treats AI as a core productivity multiplier. GitLab is rebuilding GitLab.com as a horizontally scalable system based on Organizations and Cells to enable data residency and enterprise capabilities, and they’re hiring a Director of Engineering in India to lead this charter. You will deliver the Cells and Organizations roadmap, drive migration tooling and zero-downtime cohort migrations, and build a multi-cloud, multi-region footprint while growing and guiding an engineering organization of managers and senior ICs. Success will be measured by production migrations completed on schedule, improvements in availability and latency from isolation, decreasing infrastructure cost per unit of capacity, and strong team throughput and retention, with qualifications including proven director-scale leadership over multiple teams, deep distributed-systems and cloud-infrastructure experience, and AI-native engineering familiarity. GitLab offers remote-friendly benefits, inclusive, equal-opportunity hiring, location guidance, and privacy/EEO policies, and encourages applicants from diverse backgrounds to apply.

Atlassian offers flexible work options, letting employees work in an office, from home, or a mix, while supporting personal goals and priorities, and hires globally where they have a legal entity. Data is central at Atlassian, with billions of events ingested monthly into an analytics platform used by many teams to drive critical decisions. The company builds and manages its analytical and operational data store to enable informed decisions and trusted data and services. They are seeking a Senior Data Engineering Manager to join the Finance Data Engineering team within the Data Engineering department to democratize data and build exceptional data products. Responsibilities include leadership (hiring, coaching, mentoring), technical guidance in scalable data engineering, driving engineering excellence through culture and process improvements, and collaborating with cross-functional teams like Business, Data Science, and Analytics Platform.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. You will join a world‑class Data Engineering team that partners with product teams, Data Science and Analytics Platform groups, and data consumers/producers to ensure high‑quality, useful data assets and to inform measurement and insights that improve product experience and strategy. The role spans defining metrics, instrumenting logging, data acquisition/ingestion, data architecture and modeling, data transformation, data quality/governance, alerting, visualization, and reporting, with autonomous work and opportunities to scale and improve efficiency. You will lead projects and help drive business goals and strategy while embodying team aims. Minimum qualifications include a STEM degree, 6+ years in data engineering, strong Python and SQL, expertise in ETL/ELT, data modeling and quality, performance tuning, experimentation, anomaly detection, logging, product analytics, and experience with SaaS/enterprise models and delivering impactful initiatives.

Zendesk is hiring a Director of Sales to lead India’s Enterprise and Commercial segments, build high-impact strategies, mentor a team of AEs, serve as an executive sponsor for major partnerships, and help drive the company’s hyper-growth across India and beyond. The role focuses on growing top talent, driving strategic enterprise growth through complex, value-based deals, shaping market strategy, and ensuring pipeline and forecasting excellence using methodologies like MEDDPICC. Core requirements include 10+ years of leadership in B2B SaaS enterprise sales with at least 7 Enterprise AEs, a proven track record of quota attainment, experience with multi-product cycles and C-suite engagements, and proficiency with MEDDPICC and sales tools (Salesforce, Clari, Outreach). The position is based in Bangalore or Mumbai (Karnataka or Maharashtra) with travel as needed, and nice-to-haves include President’s Club recognition and deep CX or AI enterprise expertise. Zendesk emphasizes a hybrid work model, equal opportunity and inclusion, and notes that AI screening may be used in the hiring process.

GitLab is an intelligent orchestration platform for DevSecOps trusted by over 50 million users and more than half of the Fortune 100, designed to help teams ship better, more secure software faster, with AI as a core productivity multiplier. The Staff Backend Engineer role focuses on the Software Supply Chain Security (SSCS) offering, serving as a senior technical leader for backend systems that secure how software is built, verified, and delivered inside GitLab. Responsibilities include defining architecture for the SSCS Add-On, building backend capabilities for package policy enforcement, provenance generation, artifact signing, and malicious package detection, and leading SLSA Level 2/3 work and Sigstore integrations. Qualifications include strong Ruby on Rails backend experience in high-scale production, Go experience, architectural leadership, async documentation, a security-focused mindset, familiarity with supply chain security concepts, and strong collaboration across distributed teams. The SSCS Add-On team is part of GitLab's Software Supply Chain Security stage, working in a remote, values-driven environment to address enterprise security challenges and contribute to product direction while upholding equal opportunity and inclusion.

GitLab is an intelligent DevSecOps orchestration platform that boosts developer productivity, operational efficiency, and security, trusted by over 50 million users and many Fortune 100 companies, with AI embedded across daily workflows in a high-performance, inclusive culture. The role is a founding Engineering Manager for GitLab’s Software Supply Chain Security Add-On team, shaping how the group operates and delivering core capabilities such as Dependency Firewall, Build Provenance, Malicious Packages detection, and Artifact Signing for enterprise customers with strict security and compliance needs. You’ll drive backend delivery to general availability milestones, align sequencing with the Staff Backend Engineer and Product Manager, hire and develop the team, run regular 1:1s and performance reviews, monitor cycle time and defect rates, and coordinate quarterly planning and headcount with Finance and stage leadership. Requirements include 3+ years leading backend product engineering in security/DevOps or platform environments, ability to hire and grow engineers, architectural credibility for areas like package registries and signing infrastructure, experience delivering across multi-quarter roadmaps, asynchronous, documentation-driven communication, familiarity with supply chain security concepts such as SLSA and Sigstore, and strong credibility with engineers and stakeholders. The SSCS Add-On team is distributed and async within GitLab’s Software Supply Chain Security stage; GitLab offers remote global roles with benefits including health, finances, equity, growth, parental leave, and inclusive, equal-opportunity policies, and candidates from diverse backgrounds are encouraged to apply with recruitment privacy protections in place.

GitLab is the intelligent orchestration platform for DevSecOps that helps organizations increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, with more than 50 million users and over half of the Fortune 100 trusting it, plus AI treated as a core productivity multiplier in daily work. It emphasizes a high-performance culture where values and continuous knowledge exchange enable team members to reach their potential, and it invites everyone to co-create the future of software development. The Backend Engineer role on the Geo team designs and maintains backend services for GitLab Geo, Disaster Recovery, and Backup and Restore, primarily using Ruby on Rails and PostgreSQL, focusing on replication, verification, failover, and data migrations for large environments. Candidates should have production Ruby on Rails experience, PostgreSQL expertise including replication and performance tuning, a solid understanding of distributed systems and background job systems like Sidekiq, knowledge of replication patterns and recovery planning, and experience operating large deployments with ownership from design to production monitoring. The Geo team is part of Platforms Engineering, works asynchronously with cross-team collaboration, and offers remote worldwide roles with benefits such as flexible PTO, equity compensation and an employee stock purchase plan, a Growth and Development Fund, and parental leave, along with an equal-opportunity policy and accommodations for disabilities.

GitLab is an AI-first, intelligent orchestration platform for DevSecOps used by over 50 million users and trusted by more than half of the Fortune 100. As an AI Engineer, you’ll report to the Director, Enterprise AI and lead hands-on, end-to-end AI initiatives—starting with Sales, Marketing, and Customer Support—to deliver internal AI-powered solutions and measurable business outcomes. You’ll diagnose problems, map workflows, validate AI efficacy, ship working prototypes in days, improve organizational flow, measure success with flow metrics and ROI, and integrate AI into existing systems, acting as Customer Zero and feeding insights back to R&D. Required capabilities include deep AI/LLM expertise, strong software engineering fundamentals, proficiency in Python or JavaScript, experience with REST/GraphQL, prompt engineering, model selection, agentic patterns, safety and risk management, systems thinking, and enterprise workflow knowledge, plus end-to-end ownership and a product mindset. The role sits with the Enterprise Technology & AI team in a fully remote, asynchronous environment; GitLab offers comprehensive benefits and equal opportunity employment while welcoming applicants globally, with some location-based eligibility considerations and a commitment to privacy and non-discrimination policies.

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 more than 50% of the Fortune 100 trusting GitLab. The company also emphasizes AI as a core productivity multiplier, expecting all team members to integrate AI into their daily work to drive efficiency, innovation, and impact. As a Staff Fullstack Engineer - Data Products, you will build GitLab's in-product insights on top of the Data Insights Platform and Knowledge Graph, acting as the technical anchor for reporting dashboards, inbound graph ingestion, and outbound data delivery across GitLab.com, Dedicated, and Self-Managed environments. Responsibilities include architecting how GitLab and third-party data are ingested, modeled, and synchronized into the Knowledge Graph, coordinating with external systems like Jira, observability tools, Zendesk, and ServiceNow, designing a Data Marketplace for Snowflake, Databricks, and BigQuery, publishing OpenTelemetry data, and defining operational readiness and roadmaps. The Data Products team turns software delivery data into actionable intelligence, and GitLab offers remote worldwide roles with comprehensive benefits and a strong commitment to equal opportunity, diversity, and accommodations.

GitLab is an intelligent DevSecOps orchestration platform that helps organizations boost developer productivity, security, and digital transformation, trusted by over 50 million users and many Fortune 100 companies, with AI treated as a core productivity multiplier in its culture. The Staff Fullstack Engineer - Data Products role focuses on building GitLab's in-product insights atop the Data Insights Platform and Knowledge Graph, serving as the technical anchor for dashboards, data ingestion, and outbound data delivery across GitLab.com, Dedicated, and Self-Managed environments. Responsibilities include architecting ingestion, modeling, and synchronization of data into the Knowledge Graph, integrating with Jira, observability tools, Zendesk, and ServiceNow; designing a Data Marketplace for Snowflake, Databricks, and BigQuery; publishing OpenTelemetry data; defining operational readiness; translating ambiguous problems into actionable roadmaps; coordinating across teams; and mentoring engineers. Required qualifications include end-to-end ownership of product or platform systems at staff level, strong Go, Ruby, and Node skills, depth in areas such as reporting/metrics, graph data systems, or data access and warehouse integrations, experience with multi-tenant SaaS and self-managed deployments, and clear, collaborative communication. The Data Products team builds the foundation for turning software delivery data into reliable, interoperable intelligence, operating in a high-ambiguity, high-impact space, while GitLab supports remote work, offers benefits like PTO, equity, parental leave, and emphasizes equal opportunity and a merit-based culture.

GitLab is an intelligent orchestration platform for DevSecOps that boosts developer productivity, operational efficiency, and security, trusted by over 50 million users and more than half of the Fortune 100, with AI integrated as a core productivity multiplier. The Staff Engineer on the Delivery - Upgrades team will set the technical direction for GitLab’s self-managed deployment strategy, collaborating with Site Reliability Engineering, Release, Security, and Development to design cloud-native, operator-driven deployment patterns that reduce operational complexity and upgrade friction. In the first year, the role will define zero-downtime upgrade architectures, strengthen observability and reliability practices, and advance deployment automation for self-managed environments, including evolving the GitLab Operator and Helm charts and expanding the GitLab Environment Toolkit. Candidates should have production-grade software engineering experience, strong Go skills (with Ruby on Rails familiarity helpful), hands-on Kubernetes in production (Operators, Helm charts, CRDs), cloud-native tooling, PostgreSQL migrations, Linux operations, and the ability to influence across teams; interest in open source deployment tooling is a plus. The Delivery - Upgrades team maintains the GitLab Omnibus package, Helm charts, GitLab Operator, and the GitLab Environment Toolkit, works asynchronously across regions, and GitLab offers remote roles, benefits, equity, and growth opportunities within an equal-opportunity, inclusive hiring policy.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, operational efficiency, security and compliance, and digital transformation, with AI embedded as a core productivity multiplier and more than 50 million users and Fortune 100 trust. The company promotes a high-performance, inclusive culture where continuous knowledge exchange and every voice are valued, enabling employees to collaborate with industry leaders to solve problems. The Senior Backend Engineer - Platform Insights role focuses on Go-based backend systems for the Data Insights Platform and Siphon, owning architecture, deployment, and the Query API, including the gRPC integration with the Rails application. Required skills include strong Go backend experience, building scalable data-heavy services, API and service integrations (gRPC), data platforms and stores like ClickHouse, and the ability to work across teams in a remote environment with emphasis on reliability and observability. The position is with the Foundations team, offers remote worldwide work with various benefits, and GitLab maintains an equal opportunity, inclusive hiring environment with accommodations for disabilities.

GitLab is an intelligent DevSecOps orchestration platform aimed at boosting developer productivity, operational efficiency, and security, with AI embedded in daily workflows and more than 50 million users including a large portion of the Fortune 100. The Senior Manager, Solutions Architecture - India role leads a distributed team of Solutions Architects across India, acting as a player-coach to shape technical strategy and secure technical wins in complex sales motions. Key responsibilities include running regional technical evaluations, executive workshops, demos, and PoCs; establishing regional operating rhythms; coordinating with global teams to translate customer requirements into meaningful business outcomes; and managing workload planning, resource allocation, forecasts, and KPIs. The ideal candidate has experience leading technical teams in software or tech sales, a strong solution architecture background, excellent cross-functional collaboration and business acumen, a track record of building inclusive, high-performing distributed teams, and a willingness to travel. GitLab emphasizes a remote-first culture with comprehensive benefits and a commitment to equal opportunity, encouraging applicants from diverse backgrounds while upholding anti-discrimination policies.

GitLab is an AI-enabled DevSecOps platform trusted by over 50 million users and more than half of the Fortune 100, designed to boost developer productivity, operational efficiency, security, and digital transformation, with a culture that embraces AI and values every voice. The Manager, Engineering, Nonlinear Productivity (Friction Elimination & Solutions) role aims to break the linear headcount-to-output relationship by surveying GitLab’s internal software development lifecycle and code-generation workflows to identify recurring friction and test durable fixes that could become customer-facing products. You’ll build a data-backed view of high-leverage interventions, evaluate build/buy/adapt options (including AI tooling), stand up prototypes, review architecture, and drive validated fixes into internal adoption and productization in partnership with product teams. You’ll hire and manage a small team or work as a hands-on manager, focusing on talent density, with the ability to prototype technically, demonstrate impact via metrics, and document reusable learnings to avoid tribal knowledge. GitLab supports remote work globally with a comprehensive benefits package, emphasizes equal opportunity and non-discrimination, invites applicants of varying experience, and provides accommodations and recruitment privacy considerations.

GitLab is a DevSecOps orchestration platform trusted by over 50 million users and Fortune 100 companies, emphasizing AI-enabled productivity and a values-driven, inclusive culture. The role of Manager, Engineering, Git & Gitaly Operations leads the team responsible for the Git infrastructure layer (Git, Gitaly) and related services across Self-Managed, GitLab Dedicated, and SaaS, since these components are core to the platform. Responsibilities include building and developing a team with deep Git/Gitaly expertise, owning production reliability and incident postmortems, designing cross-model service models, and maintaining a cloud-agnostic architecture with elastic storage/compute for repository data. Qualifications emphasize hands-on Git internals knowledge, strong distributed systems fundamentals, experience running production infrastructure across multiple deployment models, and people management, with advantageous experience in Gitaly, libgit2, JGit, and multi-hyperscaler environments. The role is part of the Git & Gitaly Operations team, offering remote, worldwide eligibility, comprehensive benefits, and an inclusive, equal-opportunity hiring policy that invites applicants even if they don’t meet every qualification.

GitLab positions itself as an intelligent orchestration platform for DevSecOps, trusted by 50M+ registered users and over half of the Fortune 100, with a culture that embraces AI as a productivity multiplier and a high-performance, inclusive work environment. The Support Engineer role sits at the intersection of Support and Engineering, embedded in the Engineering department, addressing edge-case issues on self-managed and GitLab.com deployments by examining Linux systems, logs, and the Rails codebase, and contributing fixes via merge requests while improving documentation and processes. You’ll collaborate across Product, Development, Infrastructure, Customer Success, and Sales; handle Zendesk tickets, merge requests, and on-call incidents; develop tooling and content to improve efficiency; and participate in hiring and cross-team knowledge sharing. Required skills include strong Linux administration (LFCE/RHCE level), scripting (Ruby/Bash), experience with Git and CI/CD, the ability to explain complex topics, familiarity with Kubernetes and Serverless, and a willingness to learn and collaborate. The globally distributed, remote team offers flexible work-life support and benefits such as paid time off, equity, growth opportunities, and parental leave, with a commitment to equal opportunity and accommodations and with location-based eligibility considerations.

GitLab is an intelligent DevSecOps orchestration platform with over 50 million users and Fortune 100 adoption, and it treats AI as a core productivity multiplier across the company. The Intermediate Fullstack Engineer - Data Products role is hands-on and spans frontend, backend, APIs, and AI-enabled workflows to ingest and model GitLab and third-party data into a knowledge graph and to build dashboards like DORA and value-stream reporting. Responsibilities include building integrations with Jira, Zendesk, ServiceNow, delivering accurate software engineering metrics, and participating in design and code reviews to ensure secure, reliable, and scalable solutions. Requirements include deep fullstack production experience with Go, Ruby, and Node; experience with OLAP data platforms such as ClickHouse; building AI-powered features; operating multi-tenant SaaS environments; and strong communication in a largely async setting. The Data Products team covers Dashboard and Reporting, Internal Ingestion, and External Ingestion, and GitLab offers remote, worldwide opportunities with benefits like flexible PTO, equity, parental leave, and a firm commitment to equal opportunity and accommodations.

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 more than 50 million registered users and more than 50% of the Fortune 100 trusting GitLab to ship better, more secure software faster. It emphasizes AI as a core productivity multiplier and expects all team members to incorporate AI into daily workflows to drive efficiency, innovation, and impact, within a high-performance, values-driven culture. The role is Manager/Senior Manager, Cell Infrastructure, to shape multi-cloud cell infrastructure and lead a 0-to-1 effort to build the control layer for provisioning, placement, and operation of GitLab cells across clouds, reporting to the VP Engineering. Responsibilities include leading design and delivery of multi-cloud cell placement and orchestration, building and growing the engineering team, driving cost visibility and reliability, and collaborating with adjacent teams like Git infrastructure, Artifact Registry, Duo Agent Platform, and CI/CD to support scaling and deployment. Requirements include hands-on experience designing, building, and operating distributed systems with cell-based architecture and on-call/SRE practices, leadership of distributed teams, ability to hire and develop engineers, strong cross-functional communication, and a focus on balancing portability, data residency, reliability, and cost within GitLab’s multi-cloud strategy; the company supports remote roles and emphasizes equal opportunity and accommodation.

GitLab is an intelligent orchestration platform for DevSecOps that boosts developer productivity and efficiency, reduces security risk, and accelerates digital transformation, trusted by 50 million-plus users and over 50% of the Fortune 100, with a culture that treats AI as a core productivity multiplier. The role is Director, Support Engineering for the Bengaluru Center of Support, based in Bengaluru and reporting to the VP of Support Engineering, responsible for building and managing the India-based regional hub and delivering enterprise-grade technical support across Asia-Pacific, Europe, the Middle East, Africa, and the Americas. Responsibilities include designing the hub’s organizational structure and roles, establishing management rhythms and escalation frameworks, leading hiring and retention with Talent Acquisition, developing managers and engineers, owning SLAs and customer satisfaction metrics, and guiding the hub’s use of GitLab’s AI toolchain while coordinating with global strategy. Requirements include experience leading or scaling a technical support organization with a manager-of-managers structure, global delivery across regions and time zones, deep knowledge of enterprise SaaS support, experience with AI-assisted tooling, and familiarity with DevSecOps platforms and support tools; GitLab experience is a plus. The role sits within GitLab’s global Support Engineering team, emphasizes distributed collaboration and asynchronous communication, notes remote-friendly hiring with location-based guidelines, outlines benefits and equal opportunity policies, and invites applicants to apply despite not meeting every requirement.

GitLab is the intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, operational efficiency, reduce security and compliance risk, and accelerate digital transformation, trusted by over 50 million users and many Fortune 100 companies. The company embeds AI as a core productivity multiplier and fosters a high-performance, values-driven culture where every voice is valued and careers accelerate. The Director, Engineering, Platform Operations & Productivity role oversees three functions—Git & Gitaly Operations, Nonlinear Productivity, and Platform Staff—requiring hands-on technical depth and not just people management. Responsibilities include owning outcomes for each function, hiring and developing managers, building an AI-enabled Platform Staff, establishing operating rhythms and metrics, reviewing designs and crisis plans, and representing the functions to peers and customers. Qualifications include hands-on distributed-systems experience, a track record of production reliability and incident management at scale, measurable productivity improvements across teams, experience with AI-assisted development tools, and multi-manager leadership, with roles offered globally as remote and committed to equal opportunity and inclusivity.

Atlassian offers flexible work options (office, home, or a mix) with virtual interviews and onboarding as part of a distributed-first approach, and hires in any country where they have a legal entity. As a Principal Machine Learning Engineer, you will set the technical direction for AI across Jira Service Management, designing and shipping multi-step LLM pipelines, including prompting strategies, model selection, output parsing, and orchestration to improve quality and reliability in enterprise scenarios. You’ll build retrieval and grounding systems to surface the right context—knowledge articles, past requests, structured data, and tool outputs—so AI decisions are grounded in relevant, trustworthy information. You’ll own the quality, latency, cost, and reliability of AI workflows at enterprise scale and design evaluation frameworks, benchmark datasets, and scoring methods to measure genuine improvement versus regression. As a Principal, your influence extends to multi-quarter ML strategy, cross-team architectural decisions, mentoring, and raising the overall bar for how AI is built and shipped across JSM.

Zendesk is seeking a Staff Machine Learning Engineer in Pune to shape the architecture and strategy of Zendesk’s GenAI platform, driving AI-powered customer experiences. You’ll lead cross-functional efforts to standardize evaluation, access, observability, and orchestration for LLMs across products, ensuring AI is safe, performant, and trustworthy for millions of users. Responsibilities include delivering platform-level solutions (LLM Proxy, model registry integrations, vendor abstraction, cost/usage attribution), scaling evaluation frameworks, and defining company-wide safety and evaluation standards with automated checks. The role requires 8+ years in distributed systems and ML infrastructure, strong design for ML workloads, proficiency with Python/Kubernetes/cloud, and a proven track record of mentoring engineers and steering cross-team roadmaps. It’s a hybrid, on-site role based in Pune, Maharashtra (candidates must be located in Maharashtra or Karnataka), with Zendesk’s commitment to diversity and equal opportunity, including accommodations for applicants.

Atlassian offers flexible work locations and hires in any country where they have a legal entity. The Search Platform team powers Rovo Search across Atlassian and external apps, making customers’ data searchable securely, fast, and at scale, across 100+ sources. As a Senior Principal Engineer, you will own the technical roadmap and outcomes for the Search Data pillar, helping envision, build, and evolve a platform to integrate, process, index, and search massive unstructured data while leading other engineers. Responsibilities include defining strategy with technical leads, evolving the data platform for real-time freshness and AI retrieval at enterprise scale, making hard architectural trade-offs, simplifying legacy systems, and establishing patterns to handle messy data and maintain operability and health. You’ll drive continuous improvement, boost developer productivity, foster a culture of ownership and data-driven engineering, and help hire and mentor engineers to sustain an open, innovative, and responsible culture.

Atlassian offers flexible work locations and globally hires wherever there is a legal entity, giving employees more control over family and personal priorities. The team is the Search Platform, which powers Rovo Search and enables secure, fast, scalable enterprise search across Atlassian and external apps. As a Senior Principal Engineer, you will own the technical roadmap and outcomes for the Search Data pillar, helping envision and build a platform to integrate, process, index, and search massive unstructured data across 100+ sources, tackling large-scale data, streaming, and distributed systems. You will lead other engineers, define strategic direction, and drive step-change initiatives to deliver a world-class end-to-end search experience with fresh, reliable data. Responsibilities include shaping strategy and architecture, evolving pipelines for real-time and AI retrieval, balancing freshness, correctness, cost, and simplicity, modernizing legacy systems, designing understandable and operable systems, establishing best practices for messy data, owning operational excellence and metrics, boosting developer productivity, and mentoring engineers to build an open, responsible culture.

The role is a highly experienced Cloud Solution Architect specializing in AWS to design scalable, secure, and compliant cloud architectures, with emphasis on data engineering, identity and access management, serverless, API-driven data platforms, and cloud-based contact center solutions. Responsibilities include designing and leading secure, highly available AWS architectures; implementing IAM/federation and CIAM; building event-driven serverless apps with Lambda, API Gateway, EventBridge, and SQS; planning data engineering platforms using RDS, DynamoDB, S3, Glue, and Athena; integrating Amazon Connect with back-end systems; enforcing security, encryption, audit logging, and compliance; and defining Infrastructure as Code with Terraform and CloudFormation, plus building reusable modules and integrating IaC into CI/CD pipelines. The candidate should have 10+ years of cloud architecture experience with deep AWS expertise, relevant certifications (Solutions Architect mandatory), and hands-on experience with Cognito/IAM and federation protocols, serverless architectures, and data pipelines. Preferred qualifications include multi-cloud or hybrid cloud experience, familiarity with DevOps tooling, knowledge of customer experience or contact center platforms, and optional experience with AI/ML solutions on AWS (SageMaker, Comprehend, Lex) and Zendesk ecosystem. The position is based in Karnataka or Maharashtra, India, with Zendesk noting a hybrid work approach; the company emphasizes equal opportunity, diversity, and accommodations for applicants, including AI screening as part of the process.

Atlassian offers flexible work locations and a distributed-first culture, with interviews and onboarding conducted virtually and hiring available in any country where they have a legal entity. As a Senior Principal Forward Deployed Engineer, you'll be at the forefront of applied AI, working directly with customers and cross-functional teams to deliver innovative, AI-powered solutions and partner with top organizations to leverage Atlassian's AI capabilities. Your responsibilities include coding across the Atlassian product suite, leading design, development, and deployment of AI/ML solutions using Rovo, and architecting robust integrations with Python or JavaScript for APIs, microservices, and enterprise-scale systems. You'll influence product direction by building with customers, champion AI-augmented workflow automation, oversee end-to-end production deployment with monitoring, navigate risk and privacy frameworks, and mentor colleagues while communicating complex concepts to technical and non-technical stakeholders. Atlassian aims for equitable, explainable, and competitive compensation, with base pay within a defined range and potential eligibility for benefits, bonuses, commissions, and equity.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. The role involves defining and executing a clear territory vision, regularly communicating funnel and resource status, challenges, and successes, and collaborating with cross-functional teams to drive customer satisfaction and retention. It includes representing Atlassian Service Collection at industry events and working with Atlassian partner management as well as a range of partners from large IT service providers to firms of all sizes. On day one, the candidate should have at least 10 years of business development experience with a proven track record in technology vendors, ITSM market familiarity, experience with Indian customers and local SI partners for RFP/RFI, and the ability to drive GTM campaigns with Atlassian and channel partners in India. English fluency is required, and ITIL certification is a plus but not mandatory.

Atlassian offers flexible work options—from office to home to hybrid—and can hire in any country where it has a legal entity. In this role you will define and implement a clear vision for your territory and regularly communicate funnel status, resource needs, challenges, and successes. You will collaborate with cross-functional teams (Account Executives, Marketing, Customer Success, and Product) to ensure customer satisfaction and retention, and work closely with Atlassian partner management and a range of partners from large IT service providers to others. You will represent Atlassian Service Collection at industry events and conferences. Requirements include 10+ years of business development experience with a proven track record in technology vendors, ITSM market familiarity with service management solutions, experience working with Indian customers and local SI partners, ability to drive GTM campaigns in India with Atlassian and channel partners, fluency in English, and ITIL certification is a plus but not mandatory.

Zendesk is hiring an Engineering Manager in Pune to lead a ~10-engineer team building the AI Integrations Platform as part of the company’s AI-era Platform/API strategy, including decoupling core logic and AI layers. The role is hybrid, requiring 3 days in the Pune office with relocation to Pune, and Zendesk is developing a Pune Product Development Center of Excellence as an opportunity to shape culture and growth. Responsibilities include guiding the team, fostering inclusivity and performance, aligning with Engineering, Product, and Program Management, improving delivery, and communicating progress across the organization. Requirements include prior Engineering Manager experience, a track record of building high-performing, self-sufficient teams, familiarity with REST/GraphQL/MCP/A2A, large-scale cloud SaaS, and experience leading globally distributed teams with strong communication. Zendesk notes AI may screen applications, emphasizes equal opportunity and diversity, and restricts hires to candidates physically located in Karnataka or Maharashtra, with a hybrid model balancing onsite and remote work.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or a hybrid arrangement to support personal goals and family commitments. The company hires people in any country where it has a legal entity, and interviews and onboarding are conducted virtually as part of its distributed-first approach. As a Principal Machine Learning Engineer, you will drive the development and implementation of cutting-edge ML algorithms and train sophisticated models. You will collaborate with product, engineering, and analytics teams to build AI functionalities into Atlassian products and services. Your daily responsibilities include designing system and model architectures, conducting experiments and evaluations, and guiding emerging ML engineers, with a focus on realizing AI's transformative potential across Atlassian's offerings.

- Atlassian supports flexible work locations, and this Senior Partner Solutions Architect role is remote but must be located in India; Atlassian can hire people in any country where it has a legal entity. - Reporting to the International Head of Partner Solutions, you will lead the development and implementation of tailored enterprise transformation solutions, working with regional partners to understand customers' needs, design scalable architectures, and champion AI-driven workflows to deliver measurable value from Atlassian’s platform and AI investments. - Atlassian’s mission is to empower customers to thrive in the digital economy by delivering innovative, enterprise-grade solutions and to unlock the Cloud platform’s potential through high-impact AI use cases. - You will join the Partner Solutions team, which brings experts in Cloud Acceleration & Upgrades, Solution Design, and Architecture, with a focus on building partner Enterprise cloud capabilities and shaping Atlassian’s partner ecosystem. - Your responsibilities include leading India-specific partner capability strategy and channel efforts, collaborating with partners to create packaged implementation services and GTM strategies, conducting capability workshops, partnering with enterprise sales to optimize co-selling, building a coordinated capability model across Atlassian, and leading cloud thought leadership programs.

Atlassian supports flexible work locations and hires people in any country where it has a legal entity; the Senior Partner Solutions Architect role is remote and must be located in India, reporting to the International Head of Partner Solutions. Atlassian’s mission is to empower customers to thrive in the digital economy by delivering enterprise-grade cloud and AI-enabled solutions. In this role you will lead the development and implementation of tailored enterprise transformation solutions for end customers, working with regional partners to understand needs, design scalable architectures, and champion AI-driven workflows and automation. You will guide partners and customers through discovery, assessment, and delivery to ensure measurable value from Atlassian’s platform and AI investments, supported by a Partner Solutions team focused on cloud acceleration, upgrades, solution design, and architecture. Your responsibilities include leading India-specific partner capability strategy, developing packaged implementation services and GTM strategies with partners, conducting workshops, collaborating with enterprise sales on co-selling, building a coordinated capability model across Atlassian, and leading cloud thought leadership programs.

Atlassian offers flexible work options—office, home, or a mix—and hires in any country where the company 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 the company's teams, customers, and ecosystem. The team owns the platform for running advanced generative LLMs, a GPU-accelerated model serving platform, data access and training infrastructure, feature stores for production recommendations, and other capabilities, collaborating closely with product and search stakeholders. They are distributed across Australia, India, Singapore, and the US, and sit within the Central AI organization alongside Search & Conversational AI teams, working with leadership, technical program managers, stakeholders, and architects to shape the platform's direction. As a hands-on engineering leader, the role includes building and empowering teams, developing individuals, contributing to engineering and operational practices, driving continuous improvement, and providing thought leadership to influence how the company uses the platform.

Atlassian supports flexible work locations and hires people in any country where it has a legal entity. The AI & ML Platform Team builds and runs the infrastructure for Atlassian’s AI, ML, and search capabilities with a mission to democratize AI/ML for teams, customers, and the ecosystem. They own foundational infrastructure and tools to accelerate development, deployment, measurement, and operation of AI/ML experiences, including platforms for running advanced generative LLMs, GPU-accelerated model serving, data access and training infrastructure, and feature stores for personalized recommendations. The team is distributed across Australia, India, Singapore, and the US within Central AI, collaborating with product and search stakeholders to deliver Atlassian Intelligence features. As hands-on engineering leaders, they coach and develop their people, contribute to engineering and operational practices, and have strong opportunities for thought leadership in the rapidly evolving AI space.

Atlassian supports a distributed-first workforce with flexible work locations, virtual interviews and onboarding, and the ability to hire in any country where they have a legal entity. Their tools—Jira Software, Confluence, and Jira Service Management—help teams organize, discuss, and complete work, trusted by Fortune 500 companies and organizations like NASA, Audi, Kiva, Deutsche Bank, and Dropbox. The Mid-Market sales team focuses on cloud-first opportunities, customer expansion, and acting as a strong advocate by feeding customer feedback to product and engineering, in collaboration with Channel Partners, Product Specialists, Account Managers, and Solution Engineers. The role includes developing and executing named Account or Territory plans (India), driving growth and engagement in the mid-market, building relationships, conducting product demonstrations, and ensuring high levels of customer success. It also involves staying current on industry trends, providing regular progress updates to management, and occasional travel to meet clients and participate in events.

Atlassian operates as a distributed-first company, letting employees work from office, home, or a mix, with virtual interviews and onboarding for global hires. Its software—Jira Software, Confluence, and Jira Service Management—helps teams organize, discuss, and complete work for a wide range of customers, from Fortune 500 firms to NASA. The Mid-Market sales team focuses on managing a portfolio of mid-sized customers, identifying cloud-first opportunities, cross-selling and expanding user bases, nurturing relationships, and meeting revenue targets while advocating for customers. They work closely with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to guide deployments at scale and improve the customer experience in line with Atlassian values. The role involves developing named Account or Territory plans (India), driving growth and engagement in the mid-market, presenting product demonstrations, reporting progress, staying current on market trends, and occasional travel for client meetings and industry events.

Atlassian supports a distributed-first work model where employees can work from an office, from home, or a mix, with virtual interviews and onboarding and hiring in any country with a legal entity. Atlassian’s software helps teams organize, discuss, and complete shared work, including Jira Software, Confluence, and Jira Service Management, and is trusted by the Fortune 500 and over 300,000 companies worldwide, such as NASA, Audi, Kiva, Deutsche Bank, and Dropbox. 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 advocating for customers to product and engineering. This role collaborates with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to guide deployment and utilization of Atlassian at scale, guided by Atlassian values. Responsibilities include developing and executing named Account or Territory plans (India), driving growth and engagement in the mid-market, qualifying opportunities, delivering product demonstrations, coordinating with internal teams, reporting progress, staying updated on industry trends and competitors, and occasional travel to meet clients, attend industry events, conferences, and intentional togetherness gatherings as required.

Atlassian offers flexible, distributed-first work options, including in-office, remote, or hybrid setups, and hires globally with virtual interviews and onboarding. The company provides Jira Software, Confluence, and Jira Service Management to help teams collaborate and deliver quality results, serving customers ranging from NASA to Fortune 500. The Mid-Market sales team focuses on managing a portfolio of mid-sized customers, identifying cloud-first opportunities, cross-sell and expansion, and meeting revenue targets while advocating for customers and providing product feedback. Roles involve collaborating with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to streamline processes, guide deployments, and ensure customer success, guided by Atlassian values. The India-specific plan emphasizes developing named accounts, driving growth, conducting product demonstrations, staying aware of industry trends, reporting progress, and occasional travel to meet clients and attend events.

Zendesk seeks a Software Engineering Manager in Pune to lead a newly formed Data Applications Engineering team under Enterprise Data & Analytics, building an internal AI-powered GTM Intelligence Platform used by 1500+ employees. The role is the founding engineering leader, overseeing 2-4 engineers, collaborating with Data Engineering, Product, ML, Sales, and CX teams to deliver on time with high code quality and scalable systems. You will guide the transition from Data Science prototypes to production-ready environments with clear API contracts, and foster a high-performance culture with emphasis on observability, best practices, and regular 1:1s for growth and well-being. Requirements include 10+ years of industry experience with 3+ years in technical leadership, a track record shipping full-stack production apps, strong backend skills (Python/Java, distributed systems, caching) with frontend review ability, and experience with OLTP databases and cloud data warehouses (MySQL, Snowflake, Redshift, BigQuery); nice-to-haves include data/analytics engineering background, Python backend focus, AI/LLM features, and familiarity with GTM tools. The role is hybrid with in-office days required, and Zendesk notes location restrictions to Karnataka or Maharashtra; the tech stack includes React 18 + TypeScript, Vite, Snowflake, Python/FastAPI, and an OpenAI Agent SDK-based AI stack, with Zendesk committed to diversity and inclusive hiring practices.

Zendesk is seeking a Senior Product Manager in Pune to design growth-focused product experiences that attract, onboard, activate, upsell, and expand customers, with AI helping to move faster and make the product the primary driver of growth. The role sits in a small, high-impact Pune PM team and requires working from the office at least 3 days a week; candidates must be physically located in Karnataka or Maharashtra. Key responsibilities include owning the growth roadmap tied to revenue and retention targets, delivering a best-in-class self-serve journey, building a Pune PM community, and using AI responsibly for onboarding, workflows, and recommendations. Required qualifications include 8+ years in B2B SaaS product management, experience with workflow or customer/employee experience products, a track record of measuring funnel metrics and running A/B tests, cross-functional influence across Sales, Marketing, Customer Success, and Engineering, and strong communication skills. This role is a core growth lever for the business, and Zendesk emphasizes hybrid work, diversity and inclusion, with guidelines about AI screening and accommodations for applicants with disabilities.

Zendesk is hiring a Staff Data Platform Engineer (DevOps-focused) for the Pune-based Enterprise Data & Analytics team to develop data infrastructure that powers analytics and AI/ML across Zendesk’s data platform. The role involves leading architecture and roadmap for end-to-end data platform (ingestion, transformation, storage, governance), establishing data contracts and tooling, evaluating new technologies, and delivering secure, highly available data services with robust observability and incident response. Basic qualifications include 10+ years in industry with 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, Python/Go/Java/Scala, SQL, and strong communication skills. Preferred qualifications include 3+ years building scalable data infrastructure with automation, experience with ETL orchestrators (Airflow), dbt, and familiarity with data governance and security practices. The role has location restrictions to Karnataka or Maharashtra with a hybrid onsite/remote schedule, and Zendesk emphasizes equal opportunity, DEI, AI screening policies, and accommodations.

Zendesk is hiring an Engineering Manager in Pune to lead the product engineering teams, with in-office work required at least 3 days a week and multiple EM roles across PLG and Platform. The role will manage 10–12 engineers, collaborating with leaders across Engineering, Product Management, Marketing, and Design to improve delivery, reliability, and system performance while guiding the team through technical challenges. It emphasizes engineering excellence, best practices in coding, testing, and observability, a high-performance culture, and regular 1:1s focused on performance, growth, and well-being. Qualifications include 12+ years in the industry with 3–4 years in technical leadership, mentoring ability, experience with React/Angular or similar stacks and languages like Java or Ruby, cloud platforms (AWS/Azure/GCP), cross-functional collaboration, Agile Scrum, and strong prioritization skills. Location guidance notes that candidates must be based in Karnataka or Maharashtra with a hybrid schedule, Zendesk supports diversity and inclusion and accommodations, and AI may be used in screening as part of the hiring process.

Zendesk is seeking a Staff Software Engineer in Pune, Maharashtra, to be the technical leader for the team, defining the architecture, execution strategy, and long-term roadmap for a feature-rich system that helps admins onboard, adopt, and manage Zendesk products while enabling internal teams to integrate solutions efficiently. Day to day, you will contribute to Zendesk’s core support code used by millions, break complex features into granular pieces, own features end‑to‑end, collaborate with Tech Leaders on complete solutions, drive technical discussions across the global engineering org, prioritize work with tech debt in mind, participate in pairing and code reviews, and triage customer issues while providing production support and improving observability, performance, reliability, and security. Requirements include 9+ years of full-stack, enterprise-scale SaaS experience; proficiency in languages such as Java, Ruby on Rails, Go, Scala, TypeScript, or Node.js; strong JavaScript/TypeScript experience with React and Redux; solid MySQL experience; a track record of delivering large-scale, resilient web systems; excellent communication and ability to coach others and influence across teams. The tech stack features one of the largest Ruby on Rails codebases, MySQL/Redis data stores, occasional Go/Java services, and inter-service communication via gRPC, REST, Kafka, and GraphQL, all deployed on Kubernetes with Docker and Spinnaker on AWS and monitored with Datadog. The role follows a hybrid work model with in-office presence part of the week (schedule determined by the hiring manager), requires candidates to be located in Maharashtra or Karnataka as per the requisition, and Zendesk commits to fair hiring with AI screening and accommodations available on request.