Senior Software Engineer (AI Infrastructure Development Platform)

Skydio; United States; On-site; USD 140,000 - 230,000; Full time

Job summary

Skydio is seeking an experienced infrastructure-focused developer to create tools and platforms that reduce cognitive load for engineers. You will partner with multiple teams to streamline workflows and pipelines, delivering secure, scalable internal tooling and agent integrations across firmware, autonomy, cloud, and apps.

The role emphasizes building a scalable AI-driven coding platform with guardrails and adoption measurement, driving velocity while ensuring security and reliability for a

Qualifications

• 5+ years building developer tools, infrastructure, or platform systems.
• Strong grounding in Python/Go/TypeScript/C++ and CI/CD.
• Experience with security-sensitive environments or monorepos.

Responsibilities

• You will be an integral member of our cross-functional infrastructure team and identify areas to lower developers’ cognitive load.
• You will write common tools, provide development best practices, and guide with leadership to improve engineering workflows and pipelines.
• You will build the platform that puts AI coding agents into the daily workflow of Skydio engineers, across codebase, CI, and internal infrastructure.
• You will design guardrails such as permissions, secrets handling, and auditability to keep agents secure.

Skills

Python

Go

TypeScript

C++

CI/CD

AWS

GCPA

Tools

Python

Go

TypeScript

C++

CI/CD

AWS

GCPA

Job description

• 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 them5+ years building developer tools, infrastructure, or platform systemsStrong grounding in Python/Go/TypeScript/C++, CI/CD, and cloud infrastructure AWS/GCPA product mindset toward internal users: you talk to them, ship quickly, and iterateExperience with security-sensitive environments or monorepos