Application performance monitoring for developers & software teams to see errors clearer, solve issues faster & continue learning continuously. Get started at sentry.io. Backed by Accel, NEA and 500 Global.
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 10+ years of software engineering experience, including hands-on ownership of production systems
- Experience building developer tools, infrastructure, or automation used by engineering teams, such as CI/CD systems, internal APIs, code review tooling, or agent workflows
- Hands-on experience using AI coding tools and agents, with an understanding of how context, tool access, and validation affect their output. Prior machine learning experience is not required
- Strong software engineering and system design fundamentals, including experience building reliable integrations across systems
- A track record of leading cross-team technical initiatives from problem definition through implementation and adoption
- Clear written and verbal communication, including explaining technical decisions and recommendations to senior engineering leaders
More about this role
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.
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,...
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