15+ years of software engineering experience, with a focus on multi-team codebase architecture.
Proven experience with monorepo tooling (Nx, Turborepo, Bazel, etc.) and leading migrations.
Strong background in cloud infrastructure, CI/CD, and observability.
Ability to work across the stack, from data models to UI.
Experience with AI coding agents and their integration into the development process.
Demonstrated influence through technical judgment and clear communication.
Agent-first mindset with a focus on optimizing codebase structure for AI agents.
Responsibilities
Own and evolve the architecture of the codebase, setting patterns and module boundaries.
Design a monorepo tailored for agents, ensuring easy navigation and scoped changes.
Build and maintain the platform substrate, including shared services and infrastructure.
Define the agentic software development lifecycle (SDLC) for efficient ticket-to-production workflows.
Implement AI-assisted tools for code review and testing to manage increasing PR volume.
Deploy agents to automate ticket handling, test triaging, and incident response.
Lead refactors and migrations to enhance organizational workflows.
Benefits
100% company-paid medical, dental, and vision coverage for employees.
401(k) savings plan.
Unlimited PTO and paid family leave.
Home office and equipment stipend.
Daily in-office lunch and dinner provided.
Commuter benefits for pre-tax transit and parking.
Full Job Description
Role Overview
We're hiring a Principal Engineer to own the evolution of our architecture and platform so it works for agents as well as people. Our goal is simple: double the output of our entire organization while raising the quality bar. The scope is the whole platform. You'll work across infrastructure, shared services, and product code, and step in as a product engineer anywhere in the stack when that is the fastest way to move.
The ideal candidate is deep in code architecture and platform engineering, already works agent-first, and has built foundations that other teams adopted because they were better. This role reports directly to our VP of Engineering.
What You'll Do
Own the architecture of our codebase. Set the patterns, module boundaries, and domain abstractions across our monorepo, and lead the refactors and migrations that get us there.
Design the monorepo for agents. Structure packages, ownership, the build graph, and conventions so an agent can find the right context, make a scoped change, and verify it without reading the whole repo.
Build the platform substrate. Own the shared services, infrastructure, and paved paths (data access, background jobs, environments, observability) that product teams build on and agents can use safely.
Own the agentic SDLC. Define how work moves from ticket to production when agents do much of the writing, testing, and reviewing. Set the defaults every team builds on, and change them as models and tools improve.
Scale verification with volume. Build AI-assisted code review, test generation, and CI gates so confidence to merge keeps pace as PR volume doubles. Decide where human review is required and where it is not.
Put agents to work in the background. Stand up agents that pick up well-scoped tickets, triage flaky tests, run dependency upgrades and large migrations, and draft fixes from incidents and error reports.
What We're Looking For
You've owned the architecture of a large, multi-team codebase. You've set the module boundaries and patterns others build within, run monorepo tooling (Nx, Turborepo, Bazel, or similar), and led migrations that changed how a whole org works.
Strong platform and infrastructure depth: cloud infrastructure, infrastructure as code, CI/CD, observability, and services you've run in production through real incidents.
You can work across the stack as a product engineer, from data model to UI, and you're happy to do it.
You work agent-first today. A large share of the code you ship comes from AI coding agents, and you have specific, earned opinions on where they break and how codebase structure fixes that.
Current knowledge of the agentic stack as it applies to software engineering: context engineering, agent instructions and skills, MCP, sandboxed execution, and how to evaluate a coding agent's output.
You operate with earned authority. You influence through demonstrated judgment, working code, and clear writing rather than title or mandate.
15+ years of software engineering experience, including time setting technical direction across multiple teams.
What We Offer
Competitive salary and meaningful equity in a high-growth company
100% company-paid base medical, dental, and vision coverage for employees + healthcare FSA
