Software Engineer, Developer Velocity

Job Description:

  • Own the internal developer platform end to end, including architecture, build, rollout, operation, and measurement
  • Invest in monorepo build tooling, local and remote caching, CI pipelines, merge queues, reliable test suites, and safe deployment mechanics
  • Build fast, reproducible, multi-platform cloud development environments
  • Establish velocity metrics and dashboards, including cycle time, review latency, and change failure rate
  • Build repo-level agent context infrastructure, guidance conventions, architecture and domain context, shared skills, subagents, and hooks
  • Evaluate and integrate third-party coding tools with Hex's codebase and organizational tools such as Slack, Notion, and Linear
  • Drive adoption through good defaults, clear documentation, low-friction developer experience, and shared platform capabilities
  • Create permissions, secrets handling, and audit trails with engineering teams
  • Partner across engineering to remove bottlenecks, establish standards and guardrails, and increase developer velocity
  • Work as part of Foundations, maintaining shared backend systems, frameworks, primitives, APIs, real-time transport, storage, background processing, and internal tooling

Requirements:

  • 5+ years in developer productivity, build/release engineering, or internal platforms
  • Experience building tools and systems the whole engineering organization depends on daily
  • Deep build-systems and CI/CD expertise, including repository build tooling, caching, CI pipelines, and safe deployment workflows
  • Breadth across backend application code, infrastructure-as-code, deployment, and observability
  • Strong proficiency in TypeScript/Node.js and SQL
  • Python is a plus
  • Experience with backend systems, APIs, and distributed or asynchronous workflows
  • Hands-on experience with LLMs and agent frameworks, including tool calling, MCP, context management, orchestration, and failure handling
  • Deep fluency with AI coding tools
  • Solid AWS, Docker, and Kubernetes fundamentals
  • Excellent written communication
  • Comfort with ambiguity
  • Nice to have: agent systems or AI-assisted development at scale, large-scale system architecture, repository tooling, Hex's stack, observability or data-platform experience, frontend technologies, and open-source contributions

Benefits:

  • Market-benchmarked salary
  • Equity
  • Comprehensive health benefits
  • Flexible paid time off
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