Staff Software Engineer, AI Developer Tooling
Sentry
- Pay
- $220k–$400k
- Workplace
- Hybrid
- Location
- San Francisco, California · San Francisco · California · United States
- First seen
- 2 hours ago
- Last seen
- 2 hours ago
- Board
- Ashby
Summary
ABOUT SENTRY Software runs the world and the pace is faster than ever.
Posting
ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE You’ll own AI-assisted coding within Sentry’s Platform Engineering organization, building the systems and workflows AI coding agents need to contribute reliably to our codebase. Your work will span engineering teams, with Developer Infrastructure as your home base. Your first focus will be making internal developer systems accessible to agents. Many workflows currently depend on human interaction through a UI. You’ll identify the most valuable gaps, expose those capabilities through APIs, and connect tools such as Claude Code to complete development workflows. From there, you’ll improve the quality of AI-generated pull requests and automate recurring engineering work, including dependency upgrades, minor bug fixes, and maintenance. You’ll build the context and execution environment agents need: relevant repository information, tools and permissions, state management, tests, logs, recovery mechanisms, and evaluations. You’ll partner with engineers across Sentry to understand where agents succeed, where they fail, and which changes improve the development process. This role combines technical direction with hands-on implementation, from choosing the problems to solve through building, measuring, and improving the solutions. This role is based in San Francisco, with three days per week in the office to work closely with Platform teams and engineering leadership. WHAT YOU’LL DO - Set priorities for AI-assisted development at Sentry, using engineer feedback and workflow data to identify where agents would provide the most value. - Make internal developer systems accessible through APIs and build integrations enabling agents to complete workflows across those systems. - Build context systems and agent execution tooling, including tool access, permissions, checkpoints, retries, and logging. - Develop automated checks, evaluations, and feedback loops to improve the correctness, maintainability, and review readiness of AI-generated pull requests. - Automate recurring work such as security dependency upgrades, minor bug fixes, and routine maintenance. - Improve supporting dev