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Atlassian offers flexible work arrangements, allowing employees to work from an office, from home, or in a hybrid mix to support family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity, with a Bengaluru office but remote work across India available for eligible candidates. Atlassian is looking for a Principal Frontend Software Engineer to design, build, evolve, and maintain web frontend systems and tools to deliver great experiences to users. The future team aims to be a world-class, empowered engineering organization within a unified R&D group focused on moving customers to the cloud while delivering value across Jira, Confluence, Trello, and Bitbucket. In this role you will build high-performing client code, plan and implement scalable UI systems, collaborate with engineers, designers, and managers, lead code reviews and documentation, drive projects from design to launch to operation, and onboard and mentor other engineers.

Atlassian offers flexible work options (office, remote, or hybrid) and can hire in any country where it has a legal entity, with a Bengaluru office but eligible candidates able to work remotely across India. The company emphasizes enabling employees to balance family, personal goals, and other priorities through their work location preferences. They are seeking a Principal Backend Software Engineer to join a world-class, AI- and cloud-focused engineering organization that works on Jira, Confluence, Trello, and Bitbucket. The role involves tackling large and complex problems from design to launch, delivering cross-team solutions, planning and managing big projects, addressing architecture challenges, leading code reviews and documentation, and setting standards. You will also mentor junior engineers and share knowledge across teams to help the organization execute on company-wide initiatives.

Atlassian supports flexible work locations—employees can choose office, home, or hybrid arrangements—and the company hires globally with virtual interviews and onboarding as part of its distributed-first approach. This role requires you to be located in India and to lead an engineering team within Atlassian’s Jira Service Management IT Operations organization. The team’s mission is to transform how engineering and IT detect, respond to, resolve, and prevent incidents at enterprise scale, building mission-critical, high-throughput services that power alerting, on-call scheduling, incident orchestration, and mobile experiences. You’ll be part of a distributed, high-collaboration triad (Engineering, Product, Design), driving technical excellence, guiding architectural decisions, shaping roadmaps, and fostering an inclusive, high-performing team culture while ensuring high-quality software delivery and maintainability. The role requires 5+ years of experience managing software engineers, hands-on coding ability, experience with large-scale cloud or SaaS systems, strong collaboration with Product and Design, excellent communication, and a CS/Engineering degree or equivalent.

Atlassian offers flexible work locations and hires globally where it has a legal entity. Plato Data Platform, within Atlassian Engineering, builds and operates the foundational data platform with high-throughput streaming ingestion and MPP query/serving that powers analytics and data products across Atlassian. Product Data Platform is the only UGC-approved data lake at Atlassian and underpins numerous use cases including in-product analytics for Jira/JSM/Confluence, Atlassian Analytics for enterprise data warehouse use, ML use cases, and tools like Twg and Rovo. Atlassian is hiring Engineering Managers to lead within Plato Data Platform, with two leadership areas: Ingestion (Flink-based streaming pipelines) and Consumption (StarRocks-based MPP query/serving). This is a full-lifecycle platform team responsible for the reliability, performance, cost, and scale of critical data infrastructure, offering a leadership role at the core of Atlassian's data strategy with deep technical challenges at massive scale and a mandate to grow and shape the team.

The ITSM Analytics group in Atlassian Engineering builds the reporting and analytics platform that turns Jira Service Management data into actionable IT and service insights. It owns JSM's end-to-end analytics surface—including Custom Metrics, JSM Insights, Operations Reports, Assets Reporting, and the JSM Summary Page—and spans frontend dashboards, GraphQL APIs, data pipelines, and reporting infrastructure. The team ships across EAP, Beta, and GA while emphasizing performance, scale, data quality, and observability. The role leads a charter-defining team building the analytics engine at the heart of Atlassian's ITSM strategy, with high visibility tied to FY27 JSM growth and a broad surface from greenfield to scale. You will grow and shape a multi-pod team, set technical direction for a large data domain, and own outcomes as GA to enterprise customers.

At Atlassian, employees can choose where they work—office, home, or a mix—and the company hires in any country where it has a legal entity. The Analytics Platform is Atlassian’s AI-ready data backbone, unifying a consistent data foundation with low-latency analytics and governed access to enable trusted analytics across cloud environments. It supports AI-native experiences such as intelligent assistants, embedded analytics, faster time to first query, and future ML use cases while preserving enterprise-grade reliability and permission controls. As a Technical Program Manager on the Analytics Platform team reporting to the Head of TPM, you will define the product and technical strategy, create a long-term vision and roadmap, and secure stakeholder buy-in for large cross-organizational initiatives. You will translate business objectives into technical problems, plan programs (capacity planning, migration, high availability, network architecture, performance and reliability improvements), influence engineers and architects, and manage dependencies and the full lifecycle from initiation to budgeting and scheduling.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. The Principal Enterprise Delivery Manager role is to guide Atlassian’s largest customers through cloud transformation as a strategic advisor and technical consultant, leading the delivery and governance of large-scale cloud migrations. The ideal candidate combines business acumen with technical fluency and collaborates with cross-functional teams (Sales, Solutions, Support, Product Management, Channel Partners, and Engineering) to navigate architecture, risk, guardrails, and adoption planning, bringing experience from delivery, DevOps, QA/testing, or engineering. They must develop and influence customer cloud strategies, enable adoption of cloud features including AI, and understand data movement, system integration, and migration success or failure to identify challenges and drive positive outcomes. Key responsibilities include end-to-end migration strategy, risk management, technical architecture, trusted advisory, delivery excellence, accountability, stakeholder and escalation management, team leadership, and staying ahead of industry trends to propose innovative solutions.

Atlassian allows Atlassians to choose where they work: in an office, from home, or a combination of both. This setup gives employees more control over supporting their family, personal goals, and other priorities. Atlassian can hire people in any country where it has a legal entity. The text includes a placeholder for a job description. Overall, the message emphasizes flexible work arrangements and global hiring capabilities.

- Atlassian offers flexible work options—office, remote, or hybrid—and hires anywhere with a legal entity. - Atlassian is seeking a Product Lead to own the strategy, delivery, and operating model for the Customer Managed Keys (CMK) and encryption platform portfolio, intersecting enterprise trust, platform capability, regulatory readiness, and customer value. - The role will define how encryption capabilities scale across Atlassian Cloud, clarify product and platform scope, and drive outcomes across CMK, the encryption platform, bring-your-own-key patterns, and related services, requiring cross-functional collaboration with product, engineering, security, GTM, legal, compliance, and customers. - The scope includes CMK strategy/roadmap/lifecycle, Cryptor and related encryption platform capabilities, BYOK and external key management patterns, encryption standards and architecture, platform consistency, and enterprise trust requirements, with investments prioritized for demand, risk, leverage, and revenue. - Responsibilities include owning the vision and roadmap, aligning product and platform boundaries, planning major initiatives, representing the area to executives and customers, shaping adoption with field/support, ensuring security, resilience, scalability and usability, and maintaining continuity and portfolio coherence.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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