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Software Engineer

Atlassian · Seattle, WA, USA

$125k - $196k
Remote
Full-time
Mid

Posted November 8, 2026

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AI Summary

Atlassian's Gen AI Platform team is hiring a Software Engineer to build and operate the shared backend foundation for production AI agents, including runtimes, APIs, tools, and developer tooling. The role involves owning capabilities from design through production support, improving reliability and observability, investigating distributed failures, and participating in on-call. It's interesting for engineers who enjoy platform work that multiplies other engineers' productivity.

Job Description

Engineering | Seattle, United States | Remote, Remote | Full-Time
Atlassian's Gen AI Platform team builds the shared foundation for creating, deploying, and operating production AI agents. We provide reusable runtimes, APIs, tools, plugins, and operational capabilities so product teams can focus on customer experiences.
We're looking for a Software Engineer who enjoys building reliable backend systems and platforms that make other engineers more effective.
  • Build and operate backend services, APIs, libraries, and developer tools for our agent platform.
  • Own well-defined capabilities from design through testing, rollout, and production support.
  • Develop stable, self-service interfaces for defining agents, connecting tools, and extending platform behaviour.
  • Improve reliability, performance, observability, and developer experience.
  • Investigate failures across distributed services and agent execution flows.
  • Collaborate with product and platform teams and participate in code and design reviews.
  • Participate in on-call and turn operational learning into lasting improvements.

In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $150,300 - $196,225
Zone B: $135,270 - $176,603
Zone C: $124,749 - $162,867
  • Experience building and operating production backend or platform services.
  • Proficiency in a language such as TypeScript, Java, Kotlin, Go, or Python.
  • Understanding of APIs, asynchronous processing, data storage, cloud infrastructure, and testing.
  • Sound judgment around correctness, reliability, maintainability, and delivery trade-offs.
  • Strong learning agility and clear communication.

Experience with AI agents, LLM applications, MCP, developer platforms, distributed runtimes, or Kubernetes is desired but not required.
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