Software Engineer

Remote in Seattle, WA, US • Posted 1 day ago • Updated 1 hour ago
Full Time
On-site
USD $150,300.00 - 196,225.00 per year
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Atlassian
  • Generative Artificial Intelligence (AI)
  • FOCUS
  • Production Support
  • Interfaces
  • Collaboration
  • Design Review
  • TypeScript
  • Java
  • Kotlin
  • Python
  • Data Storage
  • IaaS
  • Testing
  • Communication
  • Artificial Intelligence
  • Microsoft Certified Professional
  • Kubernetes

Summary

Overview

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.

Pay Ranges

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

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX1672ce
  • Position Id: 1fd93ff84a396ab7bd6b08d3cb8c9bfb
  • Posted 1 day ago
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