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Skydio

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Senior Software Engineer (AI Infrastructure Development Platform)

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Summary

Senior Software Engineer building an AI-powered developer platform at Skydio, integrating LLM coding agents into daily workflows, building secure tooling, CI/CD pipelines, and internal infrastructure using Python, Go, TypeScript, C++, and cloud (AWS/GCP).

  • About the Team: You will be an integral member of our cross-functional infrastructure team. Working closely with each team of engineers, you will identify the areas that can be enhanced to lower developer’s cognitive load, and make our engineering workflows and pipelines even more efficient
  • Ou’ll write common tools, provide development best practices, and guide with thoughtful leadership as we deliver software for our growing customer base world-wide
  • You’ll build the platform that puts AI coding agents into the daily workflow of hundreds of Skydio engineers. You’ll work across our codebase, CI, and internal infrastructure to produce secure tools that increase our development velocity
  • You’ll work directly with engineers to find where they lose time and build the tools that get that time back
  • Build and extend our agentic coding platform: agent integrations, MCP servers, and sandboxed execution
  • Design guardrails such as permissions, secrets handling, and auditability, so agents can be trusted with sensitive code
  • Build the infrastructure that lets teams quickly deploy internal tools and agents
  • Embed with teams across firmware, autonomy, cloud, and apps to find workflow bottlenecks and fix them
  • Measure impact through adoption, cycle time, and quality, and use that data to set priorities
  • Drive adoption: be the internal expert on AI development tools and help engineers get real value from them.cost-efficient
  • Hands-on experience with LLM-based tools and agents: you’ve built with them, not just used them
  • 5+ years building developer tools, infrastructure, or platform systems
  • Strong grounding in Python/Go/TypeScript/C++, CI/CD, and cloud infrastructure AWS/GCP
  • A product mindset toward internal users: you talk to them, ship quickly, and iterate
  • Experience with security-sensitive environments or monorepos

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