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Location
In office (Seattle)
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 6, 2026. First seen by Alion on Nov 3, 2026. Atlassian scores A on the Alion truth index.

Overview
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Atlassian is an Australian software company founded in Sydney in 2002 by Mike Cannon-Brookes and Scott Farquhar, who funded it on credit cards and grew it for years without a traditional sales force. Its products became the default coordination layer for software teams: Jira for issue and project tracking, Confluence for documentation, Bitbucket for source control and Jira Service Management for IT support. Listed on Nasdaq since 2015, the company has expanded into video messaging with Loom and agentic AI through Rovo, and derives almost all of its revenue from cloud subscriptions after retiring its self-hosted server products.

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.

Responsibilities

  • 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.

Qualifications

  • 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 desirable but not required.

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