AI Platform Engineer, Developer Productivity

Brain Co.•San Francisco, CA

About The Position

The AI Platform Engineer, Developer Productivity will join the team responsible for Brain Co.’s Software Factory: development environments, build systems, CI/CD, and engineering automation. The role improves how engineers develop, test, review, and ship software through developer tooling, reliable infrastructure, and AI-assisted workflows. The engineer will find and measure sources of developer friction, deliver improvements, and demonstrate their impact. Responsibilities span owning local development environments, monorepo and build infrastructure; building delivery workflows and engineering automation; improving developer experience; supporting onboarding and adoption; and operating the developer platform as a product from architecture through rollout, reliability, and iteration. The platform supports delivery across cloud, regulated, and air-gapped environments.

Requirements

At least 3 years building developer-facing infrastructure such as monorepo platforms, build systems, CI/CD, or internal tooling.
Hands-on experience with at least one modern monorepo tool, such as Nx, Bazel, Pants, Buck, or Turborepo.
Strong fluency with CI/CD systems at scale, including matrix design, caching strategies, secret flow, and parallelism.
Fluency in at least two of Go, Python, TypeScript, Rust, and Bash.
Experience building automated testing or code-quality workflows that engineers trust.
Experience shipping developer platforms adopted by real engineers.
Experience measuring developer friction and demonstrating clear impact from tooling, CI, build, release, or workflow improvements.
Strong intuition for developer experience, paved paths, and long-term maintainability.
Ability to own the full lifecycle from design document and MVP through hardening and adoption.
Ability to help teams adopt tools and migrate workflows through clear documentation and practical support.
Experience owning developer-facing systems with operational responsibility and uptime expectations.
Familiarity with observability tooling and incident response.
Strong fundamentals in retries, idempotency, queueing, and failure modes for reliable build and automation systems.

Nice To Haves

Built or integrated coding agents, automated code review, or AI-assisted testing into engineering workflows with measurable improvements in speed or quality.
Experience with sandboxed code execution, credential scoping, or security controls for development agents.
Built or significantly contributed to a remote build cache, custom build system, or hermetic build pipeline such as Bazel or Nix.
Led a polyrepo-to-monorepo or monorepo-to-polyrepo migration at scale.
Experience applying DORA, SPACE, or other developer experience metrics in practice.
Background in release engineering, supply-chain security such as SLSA or Sigstore, or artifact management.
Built internal PaaS, developer environments, or scaffolding generators.
Built shared quality-assurance infrastructure, such as end-to-end test harnesses, Storybook or visual-regression tooling, accessibility checks, or performance budgets across apps.
Open-source contributions to Nx plugins, GitHub Actions, coding-agent tooling, or related developer platforms.
Exposure to multi-tenant, regulated, or air-gapped deployment environments.

Responsibilities

Own local development environments, the monorepo, build systems, and shared tooling, making software setup, development, and testing fast and reliable as the company scales.
Own CI/CD, pull request workflows, code-review automation, and shared tooling for product quality assurance.
Integrate AI-assisted development and coding agents where they improve delivery speed and quality.
Discover, measure, and remove friction across the development lifecycle using developer feedback and instrumentation.
Shorten feedback loops, improve reliability, and demonstrate before-and-after impact from developer experience improvements.
Support onboarding and enablement through intuitive tooling, documentation, and practical support.
Guide teams through new workflows and migrations, and encourage adoption through quality rather than mandates.
Own the developer platform lifecycle, including architecture, implementation, rollout, reliability, and iteration based on internal user feedback.
Partner with engineering, Infrastructure, and Security to build a trusted developer platform.