Drimva

Atlassian

Senior Principal Software Engineer

$202K–$318K

Seattle, United States +1 · Principal · Full-time · Posted Oct 28, 2026

Location
Seattle, United States
Remote, Remote
Experience
Significant experience; no number of years specified.

About the job

Provides organization-wide technical leadership for Atlassian’s Dev AI platforms, shaping architecture and delivery of autonomous developer agents and AI-native software development capabilities.

What you'll do

  • Define multi-year architecture and technical direction for Dev AI platforms and distributed systems.
  • Design scalable, secure agent runtimes, orchestration, code-intelligence capabilities, and shared developer tooling.
  • Set production standards for reliability, security, evaluation, and operations; lead cross-team initiatives and mentor senior engineers.

What they ask for

  • Significant experience as a senior technical leader in large-scale distributed systems, developer platforms, AI/ML systems, cloud infrastructure, or comparable platforms.
  • Demonstrated success setting technical direction and delivering multi-team or multi-organization platform initiatives.
  • Deep expertise in distributed systems architecture, cloud infrastructure, reliability engineering, and production operations.
  • Practical experience building or operating production-grade AI systems, LLM orchestration frameworks, autonomous agent runtimes, or modern developer tooling.

Nice to have

  • Experience with secure code execution environments (e.g., microVMs, gVisor, WebAssembly), vector databases, RAG, graph data systems, automated evaluation frameworks, or developer platform APIs.

Pay

$243,900 - $318,425 USD base salary; $219,510 - $286,583 USD base salary; $202,437 - $264,293 USD base salary

Tools

LLM, microVMs, gVisor, WebAssembly, RAG, Jira, Bitbucket, Atlassian Teamwork Graph

AI focus

Leads architecture for autonomous developer agents, agent runtimes and orchestration, code synthesis and review, semantic search, context retrieval, and evaluation of AI accuracy, cost, and adoption.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)