Distributed Systems Engineer

The role

You will build the infrastructure to manage the backplane for AI tools. This includes designing, building, and deploying production-grade software, developing SDKs, and creating integrations with major platforms.

What you will do

• Build the infrastructure to manage the backplane for all future AI tools
• Design, build, test, and deploy high-performance, secure, production-grade software
• Develop SDKs and frameworks that make it easy for other developers to build custom tools
• Help set industry standards for tool calling and authorization
• Create integrations with major platforms and LLMs
• Shape the roadmap for the team
• Build leverage via AI
• Share work with customers and community

Required qualifications

• 7+ years of software engineering experience
• 5+ years of backend development experience with either Python, Go, Ruby, Typescript, or a similar language and API & Web frameworks
• 2+ years of experience with infrastructure and deployment (AWS/GCP, Terraform, Helm, etc)
• Strong experience building and maintaining production APIs
• Track record of writing clean, well-documented, well-tested code
• User-centered approach to designing developer-centric products and tools
• Pro in at least one of Go, Python, or Typescript

Nice to have

• Experience building developer tools or SDKs
• Familiarity with LLMs and AI frameworks (Langchain, LlamaIndex, etc)
• Open-source contributions
• Experience with high-scale distributed systems
• Experience leading teams and mentoring more junior developers
• Familiarity with Typescript and a relevant frontend framework (e.g. React)
• You’ve been a startup founder or early-state startup employee before and love it

Benefits

• Competitive salary
• Equity
• Competitive benefits

About the company

Arcade is the MCP runtime that gives agents the power to act in enterprise systems. They are building the infrastructure for AI agents to securely take actions on real systems.