Staff Software Engineer, AI Developer Tooling

Sentry Sentry · Enterprise · San Francisco, CA · Engineering

Staff Software Engineer focused on building AI-assisted coding tooling within Platform Engineering. The role involves making internal developer systems API-ready for AI agents, building harness tooling and context systems for AI-generated pull requests, and automating engineering tasks. The goal is to improve the AI coding agent's participation in the software development lifecycle.

What you'd actually do

  1. Audit Sentry’s internal developer systems and make them API-ready for AI agents. You’ll prioritize and drive the work of exposing those systems programmatically, and build the connections that allow agents to operate on them end-to-end.
  2. Build the harness tooling, context systems, and feedback loops that help agents generate high-quality, repository-aware pull requests, including automated pre-review checks and PR quality measurement tailored to Sentry’s codebase.
  3. Automate high-volume, low-priority engineering work: security dependency upgrades, minor bug fixes, and routine maintenance, so engineers can focus on higher-value work.
  4. Design and build internal tools that make engineering more effective: productivity dashboards, AI-assisted issue triage, CI/CD optimizations, and tooling that reduces toil.
  5. Identify and remove organizational friction. Use data and direct observation to find where engineering is slowing down, recommend solutions to senior leadership, and build cross-team buy-in for changes.

Skills

Required

  • 10+ years of software engineering experience
  • Experience building tools or workflows that improve how developers or AI agents work
  • Strong software and system design fundamentals
  • Genuine curiosity and hands-on experience with AI coding tools and agents
  • Excellent written and verbal communication; comfortable presenting to senior technical leadership
  • A track record of driving cross-team technical initiatives to completion

Nice to have

  • Experience with large-scale distributed systems or monolith decomposition
  • Prior work on developer experience or engineering productivity programs
  • Familiarity with code review tooling, static analysis, or automated PR pipelines

What the JD emphasized

  • AI coding agents
  • internal systems
  • API-ready
  • agent-ready
  • end-to-end
  • pull requests
  • AI coding tools
  • AI agents

Other signals

  • AI coding agents
  • software development lifecycle
  • internal systems
  • API-ready
  • agent-ready
  • Claude Code
  • end-to-end
  • pull requests
  • engineering work
  • AI-assisted issue triage
  • AI coding tools
  • AI agents