AI Platform Engineer, DevX

We're looking for engineers who treat developer experience as a product - engineers who reach for users, not just specs.

- Have 5+ years building developer-facing infrastructure: monorepo platforms, build systems, CI/CD, or internal tooling.

- Have hands-on depth with at least one modern monorepo tool (Nx, Bazel, Pants, Buck, Turborepo) and the willingness to go deeper.

- Have strong fluency with CI/CD systems at scale (GitHub Actions, Buildkite, CircleCI, or similar): matrix design, caching strategies, secret flow, parallelism.

- Are fluent in at least two of: Go, Python, TypeScript, Rust, Bash.

- Have shipped developer platforms that real engineers adopted.

- Have measured developer friction and shown clear before / after impact from tooling, CI, build, release, or workflow improvements.

- Have strong intuition for developer experience, paved paths, and long-term maintainability.

- Are comfortable owning the full lifecycle: design doc, MVP, hardening, adoption.

- Have owned developer-facing systems with real uptime and operational responsibility.

- Are familiar with observability tooling and incident response.

- Built or significantly contributed to a remote build cache, custom build system, or hermetic build pipeline (Bazel, Nix, etc.).

- Led a polyrepo → monorepo (or reverse) migration at scale.

- Experience applying DORA / SPACE or other DX metrics in practice.

- Background in release engineering, supply-chain security (SLSA, Sigstore), or artifact management.

- Built internal PaaS, dev environments, or scaffolding generators.

- Experience building or maintaining a frontend platform or design system - shared component library, design tokens, Storybook / visual-regression infra, a11y or perf budgets across apps.

- Open-source contributions to Nx plugins, GitHub Actions, or related developer tooling.

- Exposure to multi-tenant, regulated, or air-gapped deployment environments.

You'll set the ceiling on how fast every other engineer at BrainCo can ship. As we grow from a handful of teams to dozens - building AI systems for governments and regulated industries - the platform that lets us move quickly without breaking what matters becomes one of the highest-leverage systems in the company.