Senior Software Engineer
Atlassian
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14,271 open software roles across 1,174 companies are on ApplySarthi right now, most of them in Bengaluru (894), Hyderabad (287), Pune (177).
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What software roles keep asking for: Python (37%), Java (31%), AWS (29%), System design (26%), C++ (25%), CI/CD (23%), Observability (23%), Kubernetes (20%) — counted across their open postings here.
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Atlassian has 341 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for software roles keep coming back to Python, Java, AWS, System design. Practise those questions before you sit with Atlassian.
Questions you are likely to be asked
- Why do you want to join Atlassian?
- What is your experience with Observability? Tell me one thing you learned the hard way.
- How would you design an API for a feature you have worked on?
- What do you do when a production issue happens on your code?
- Walk me through a system you built. How was it designed, and what would you change now?
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Practise the Senior Software Engineer at Atlassian interview free →Atlassian’s Gen AI Platform team builds the shared execution platform for production AI agents. The platform handles durable execution, tool and model integration, reliability, observability, and isolation so product teams can ship agent experiences independently. We’re looking for a Senior Software Engineer to own critical platform capabilities, lead complex initiatives, and raise the engineering bar across the team. Lead ambiguous, cross-component initiatives from technical design through rollout and measurement. Design and build scalable agent runtimes, backend services, APIs, and developer-platform capabilities. Establish stable contracts that allow teams to ship agents without depending on platform releases. Make architectural decisions involving distributed execution, state, recovery, security, and extensibility. Lead migrations and high-risk changes with appropriate compatibility and rollout strategies. Improve reliability through observability, capacity planning, incident response, and systemic follow-up. Influence technical direction, mentor engineers, and improve code and design-review practices. Partner with product, AI, security, and infrastructure teams on cross-team outcomes. Strong experience designing and operating distributed systems, developer platforms, or high-availability services. Proficiency in a language such as TypeScript, Java, Kotlin, Go, or Python. A track record of owning complex systems from design through production operations. Strong understanding of asynchronous execution, consistency, retries, fault tolerance, and observability. Experience writing technical designs, leading difficult decisions, and resolving production issues. Ability to influence across teams and mentor other engineers. Experience with agent runtimes, MCP, plugin ecosystems, durable workflows, sandboxed execution, or AI evaluation and observability is highly valued.
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