Replit에서 개발자 경험(DevEx)을 개선하고 엔지니어링 생산성을 극대화할 엔지니어를 찾습니다. TypeScript, Go, Nix에 능숙하며 대규모 모노레포 운영 경험이 필수입니다. AI 플랫폼 팀과 협업하여 코드 생성 효율을 높이고, 빌드 파이프라인 최적화를 통해 개발 환경의 마찰을 줄이는 핵심 역할을 수행하게 됩니다.
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
Accelerate engineering velocity and reduce friction in the Replit development experience by stewarding our codebases, tooling, and developer workflows. You will directly impact every engineer who ships code at Replit. By focusing on developer experience, you will act as a force multiplier across all product development teams, enabling faster feature delivery, happier developers, and reduced operational overhead.
The role combines the technical depth needed to navigate a complex, polyglot codebase with the product mindset to understand how infrastructure decisions impact developer productivity and ultimately customer value delivery.
You will also partner closely with the AI team on our internal AI platform — which already generates more than 60% of all merged PRs at Replit — to improve the Agent's output and help shape strategy around the Agent's default stack.
This is an early hire in this area, so you will have agency and have an accelerated career path as the team undoubtedly grows.
Maintain and evolve our codebase structure — a complex TypeScript monorepo, Go services, npm packages, and internal Agentic tooling.
Own the build and test pipelines and optimize them to minimize build times and improve developer iteration speed.
Drive code generation and type-safe interfaces across service boundaries (e.g., GraphQL, Protocol Buffers, gRPC, OpenAPI).
Set the standards for code quality using automation tools such as TypeScript, ESLint, Prettier, and Go linters/formatters — building custom rules and plugins to enforce Replit-specific requirements.
Streamline development setup and the onboarding experience.
Work with platform teams to improve deployment processes, infrastructure integrations, and external tooling.
Keep things fresh and modern in our codebase by adopting and leading migrations to better and faster tools.
Partner with the AI team on our internal AI platform (which generates >60% of all merged PRs at Replit) to improve the Agent's output and shape strategy around its default stack.
Help manage dependencies both internal (public and private) and external, including being the face of the company when interfacing with open-source libraries (e.g., sponsorships, upstream contributions).
Strong proficiency in TypeScript and/or Go and/or Nix.
Expertise in modern build systems and toolchains (e.g., Vite, webpack, esbuild, Go's build/module system).
Proficiency with linters, formatters, testing frameworks, and code generation tools.
Experience managing monorepos or large-scale codebases.
Experience building self-service developer platforms (CI/CD, infra, or tooling) used by many engineering teams.
Experience with AI-native development workflows — e.g., OpenCode, Claude Code, Cursor, custom agent skills.
Open-source leadership or community contributions.
This is a full-time role that can be held from our Foster City, CA office. The hybrid role has an in-office requirement of Monday, Wednesday, and Friday.
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
