Distributed Systems Engineer

Arcade • San Francisco, CA

1d • Onsite

About The Position

We are building the infrastructure that will power every AI application in the future. This company is creating the definitive tools catalog and tool-calling platform that will unlock AI's true potential, akin to Zapier for AI Actions or Auth0 for AI. The role involves defining how AI interacts with the world and how humans build and manage AI tools, including creating production-grade integrations and the services that run them. The company is building a SaaS application first, with the possibility of on-site hybrid deployments. This position focuses on back-end services but requires working across the full stack as an early startup member. The software is built with Go, Python, and Typescript, and the ideal candidate is proficient in at least one of these languages. The company values individuals who consistently ship, are continuous learners, and can apply and teach their knowledge.

Requirements

• An insatiable desire to ship
• 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

Nice To Haves

• 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

Responsibilities

• 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 (Google Workspace, Microsoft 365, OpenAi, Anthropic, etc.)
• Shape the roadmap for the team
• Build leverage (via AI) - projects that take a week today should take a day next time
• Share your work with our customers and community, building our (and your) brand

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed