Software Engineer, Developer Velocity

This is a fully remote position, open to applicants in United States.

📋 Description

• Take full ownership of the internal developer platform from end to end, encompassing architecture, development, implementation, operation, and performance measurement.

• Invest in monorepo build tools, both local and remote caching, continuous integration pipelines, merge queues, dependable test suites, and secure deployment methods.

• Create efficient, reproducible, multi-platform cloud development environments.

• Set up velocity metrics and dashboards that track cycle time, review latency, and change failure rates.

• Develop repo-level agent context infrastructure, guidance conventions, architectural and domain context, shared skills, subagents, and hooks.

• Assess and integrate third-party coding tools with Hex's codebase and organizational tools like Slack, Notion, and Linear.

• Promote adoption through well-defined defaults, clear documentation, a low-friction developer experience, and shared platform capabilities.

• Collaborate with engineering teams to establish permissions, handle secrets, and create audit trails.

• Work alongside engineering teams to eliminate bottlenecks, establish standards and guidelines, and enhance developer productivity.

• Be a part of Foundations, maintaining shared backend systems, frameworks, primitives, APIs, real-time transport, storage, background processing, and internal tools.

⛳️ Requirements

• Over 5 years of experience in developer productivity, build/release engineering, or internal platforms.

• Proven experience in developing tools and systems that the entire engineering organization relies on daily.

• Extensive knowledge of build systems and CI/CD, including repository build tools, caching, CI pipelines, and secure deployment workflows.

• Broad experience in backend application code, infrastructure-as-code, deployment, and observability.

• Strong expertise in TypeScript/Node.js and SQL.

• Python knowledge is an advantage.

• Experience with backend systems, APIs, and distributed or asynchronous workflows.

• Practical experience with LLMs and agent frameworks, encompassing tool calling, MCP, context management, orchestration, and failure handling.

• Deep understanding of AI coding tools.

• Solid foundational knowledge of AWS, Docker, and Kubernetes.

• Exceptional written communication skills.

• Ability to navigate ambiguity comfortably.

• Nice to have: experience with agent systems or AI-assisted development at scale, large-scale system architecture, repository tooling, familiarity with Hex's stack, observability or data-platform experience, frontend technologies, and contributions to open-source projects.

🏝️ Benefits

• Competitive salary benchmarked against the market.

• Equity options.

• Comprehensive health benefits package.

• Flexible paid time off policy.