The opportunity
This isn’t a typical engineering role. You won’t be embedded in a single product team or siloed in one product area.
What you'll do
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.
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.
Automate high-volume, low-priority engineering work: security dependency upgrades, minor bug fixes, and routine maintenance, so engineers can focus on higher-value work.
Design and build internal tools that make engineering more effective: productivity dashboards, AI-assisted issue triage, CI/CD optimizations, and tooling that reduces toil.
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.
What they're looking for
- + years of software engineering experience.
- Experience building tools or workflows that improve how developers or AI: agents work. This could be CI/CD or dev infra experience, or it could be AI harness tooling, AI-first coding workflows, or public contributions in this space. We’re open to a range of backgrounds.
- Strong software and system design fundamentals.
- Genuine curiosity and hands-on experience with AI coding tools and agents.: Prior machine learning experience isn’t required.
- Excellent written and verbal communication; comfortable presenting to senior technical leadership.
- A track record of driving cross-team technical initiatives to completion.
- Experience with large-scale distributed systems or monolith decomposition (nice to have).
- Prior work on developer experience or engineering productivity programs (nice to have).
