Software Engineer

Atlassian Inc.

Seattle, WA • 16m ago • Remote

Senior

Remote

150,300 - 196,225 USD/yr

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Potential salary for Software Engineer role

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$150,300 – $196,225/year

Quick Facts

  • Role: Backend and platform software engineering for an AI agent platform

  • Focus: Reliability, performance, observability, and developer experience

  • Scope: APIs, libraries, developer tools, operational support, and distributed failure troubleshooting

Description

Build and operate backend services, APIs, libraries, and developer tools for an AI agent platform. You’ll own capabilities end-to-end, and develop stable self-service interfaces for defining agents and extending platform behavior. You will also improve reliability, performance, observability, and developer experience while investigating failures across distributed services and agent execution flows.

Responsibilities

  • Build and operate backend services, APIs, libraries, and developer tools for the 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 behavior

  • 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

Requirements

  • Experience building and operating production backend or platform services

  • Proficiency in 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

  • Desired (not required): Experience with AI agents, LLM applications, MCP, developer platforms, distributed runtimes, or Kubernetes

Benefits

  • Opportunity to build production-grade backend systems and platform capabilities that help other engineers be more effective

  • End-to-end ownership from design and testing through rollout and production support

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