Staff Software Engineer (AI Developer Tooling)

Sentry; United States; On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Equity

Medical Insurance

Commuter stipend

Professional development

Health & Wellness

Charitable Matching

Flexible PTO

Parental Leave

401k Plan

Job summary

Sentry is seeking a Platform Engineer to own the AI-assisted coding domain. You will audit internal developer systems, expose them via APIs, and build the connections that let AI agents operate end-to-end in our repo.

This broad role spans harness engineering, context systems, and PR quality tooling, with collaboration across every product team. You’ll drive cross-team initiatives, improve CI/CD, and reduce toil while shipping high-value AI-enabled workflows.

Qualifications

• 10+ years of software engineering experience.
• Experience building tools or workflows that improve developer productivity.
• Excellent written and verbal communication; able to present to leadership.
• Genuine curiosity about AI coding tools and agents; ML experience not required.

Responsibilities

• Audit internal developer systems and make them API-ready for AI agents.
• Build harness tooling, context systems, and feedback loops for PR quality.
• Collaborate across Platform Engineering and dev infra to enable tooling.
• Lead cross-team technical initiatives to completion.
• Identify friction and drive organizational improvements with leadership buy-in.

Skills

Software design

Distributed systems

Cross-team leadership

Automation

AI tooling

Code review tooling

Tools

CI/CD tools

Job description

• This isn’t a typical engineering role
• You won’t be embedded in a single product team or siloed in one product area
• Instead, you’ll sit within Platform Engineering, own the AI-assisted coding domain, and work across all of engineering at Sentry, focused specifically on how AI coding agents participate in our software development lifecycle
• For AI coding agents to work well in our repo, the internal systems they depend on need to be accessible via API, not locked behind UIs that require human interaction
• Right now, many of those systems aren’t agent-ready
• You’ll audit and prioritize that gap, expose those systems programmatically, and build the connections that let tools like Claude Code operate on them end-to-end
• From there, the scope expands to improving the quality of AI-generated pull requests and automating the engineering work that’s important but consistently deprioritized
• You will look from context engineering standpoint to see what to send to our model; you will look from harness engineering standpoint to see the tools it can use, the permissions it has, the state it carries forward, the tests it has to pass, the logs you capture, the retries, checkpoints, guardrails, and evals
• You’ll work closely with the dev infrastructure team as your home base, then collaborate across every product team coding in our repo once the tooling foundation is in place
• It’s a broad role with real impact, and the work you do will directly change how Sentry engineers ship software
• 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

Benefits

• Competitive Compensation + Equity
• Medical, Dental, Vision Insurance
• Commuter Stipend
• Professional Development Stipend
• Health & Wellness Benefits
• Charitable Matching Program
• Flexible PTO
• Paid Parental Leave
• 401k Plan

You thrive on variety. You enjoy the pace of “figure this out and build it, then move to something completely different,” and you can shift between strategic and hands‑on work without losing momentum. You’re high agency. You don’t wait for permission. When you see a problem, you figure out the right solution and make it happen. You’re comfortable with ambiguity, can structure your own work, and know when to build it yourself, when to delegate, and when to say “this isn’t worth doing.” You’re metric‑driven but not metric‑obsessed. You use data to make good decisions, and you know the best insights sometimes come from talking directly to the engineers feeling the pain. You’re passionate about AI coding tools and curious about how to make them better. You follow the space closely, have opinions about what works, and want to be at the frontier of how AI participates in real‑world software development. You’ve seen enough systems and codebases to pattern‑match quickly. You can move between infrastructure, backend, and developer tooling without friction, and you bring seasoned judgment to technical decisions. You communicate clearly and can influence without authority. You work across team boundaries, present recommendations to senior leadership, and build buy‑in for your ideas. People listen because you’ve done the work to understand things deeply.

• Experience with large-scale distributed systems or monolith decomposition (nice to have)
• Strong software and system design fundamentals
• 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
• 10+ years of software engineering experience
• Genuine curiosity and hands‑on experience with AI coding tools and agents. Prior machine learning experience isn’t required
• Prior work on developer experience or engineering productivity programs (nice to have)
• Familiarity with code review tooling, static analysis, or automated PR pipelines (nice to have)
• Excellent written and verbal communication; comfortable presenting to senior technical leadership
• A track record of driving cross-team technical initiatives to completion