Founding Engineer

Description

Help us expand what AI agents can build. The company runs development tools and applications as cloud services that agents can use from wherever they run. We're hiring an engineer to build and scale that platform.

Responsibilities

• You'll help decide what to build and own projects from design through ongoing maintenance. You'll also join the on-call rotation, investigate production incidents, and fix their causes.
• Build and launch new tools, features, and cloud services, including the Go services, APIs, and Kubernetes controllers behind them.
• Reduce startup times, improve scheduling, and make better use of compute as demand grows.
• Build and maintain the tenant isolation, access controls, and networking that protect customer workloads and data.
• Automate host provisioning, upgrades, and recovery from failures.
• Work with customers to understand their workflows and turn problems they encounter into better APIs, tooling, and product features.

Requirements

• You've built, operated, and scaled production cloud infrastructure, with responsibility for deployment, observability, and reliability.
• You've written and maintained Go services in production and can reason about concurrent code.
• You understand Kubernetes architecture and controller patterns well enough to build on them and debug their behavior.
• You can investigate failures across application code, networking, and operating systems.
• You've shipped production software or infrastructure using AI-assisted development.
• We care about your work and the responsibility you've taken for it more than titles or years of experience.
• Experience with sandboxing, virtual machines, or managing Linux and macOS hosts.
• Hands-on work with DNS, routing, proxies, tunnels, or private networking.
• Experience building APIs, SDKs, CLIs, CI systems, or remote build tools.
• Experience using or building AI agents for platform maintenance and production operations.
• Familiarity with mobile development workflows using simulators and emulators.
• Why the company
• As an early engineer, you'll work directly with the founders to decide what the company builds next. Each new service can open up more development workflows to agents. You'll help establish how the engineering team works, with room to take on broader responsibilities as the company grows.
• We're a small team using AI to tackle big infrastructure problems. The company gives you room to explore how far AI can take your engineering work, test ideas, and see the results in systems that developers and agents depend on.

Benefits

• An office-based role in San Francisco; hybrid arrangements may be considered.
• A San Francisco office in South Park, with relocation support.
• Regular team offsites.
• Company-covered work travel across Europe and the US.
• Apply
• Send us your resume or profile and a short note about an engineering project you're proud of. This could be:
• A system or service you took from design to production.
• A scaling, performance, or reliability problem you solved.
• An operational improvement that reduced failures, manual work, or recovery time.
• Tell us what you personally owned, the decisions you made, and what improved. If AI contributed, tell us how you used it and checked the results. Links to code, projects, or technical writing are welcome where you can share them.
• Skills: Go, Kubernetes, Distributed Systems, Software Architecture
• Experience: 3+ years
• Visa: Will sponsor