[Hiring] Software Engineer @Superserve Inc.

Role Description

We’re looking for a platform engineer to scale the architecture and evolution of our core runtime. This is not a typical backend role. You’ll define how untrusted AI agents execute safely, how systems scale under load, and how we meet security and compliance standards from first principles. You’ll work directly with the founder and own the platform end-to-end: from low-level runtime design to distributed scheduling to production reliability.

• Design and build our agent runtime infrastructure (Firecracker, Rust, Go)
• Define and enforce security boundaries for running untrusted code
• Architect and implement scheduling and orchestration systems (Kubernetes-level problems, without blindly copying Kubernetes)
• Implement a global scale distributed systems architecture spanning across regions and bare metal server providers
• Own performance, isolation, and reliability at scale
• Set technical direction and raise the bar for engineering across the company

Qualifications

• You’ve built and operated distributed systems or infrastructure at scale
• Strong systems background (concurrency, isolation, networking, performance)
• Experience with Go and/or Rust (or willingness to go deep quickly)
• Deep intuition for security and reliability, not just features
• You care about how things fail, not just how they work
• You’ve taken systems from 0 → 1 or 1 → scale
• You’re comfortable making high-stakes architectural decisions with incomplete information

Requirements

• Bonus: Experience with Firecracker, microVMs, containers, or sandboxing
• Experience with Kubernetes or building schedulers
• Deep expertise in reducing I/O latency and maximizing throughput for data-intensive applications

Benefits

• Small, high-ownership team
• Work directly with the founder
• Real technical authority and decision-making power
• No layers, no committees—just building

Company Description

At Superserve, our mission is to give builders the foundation to run intelligent software in production. We’re building agent sandboxes—runtime infrastructure that is fast, durable, and secure by default. This is the layer that lets AI systems actually run in the real world. We’re a small, globally distributed team based in San Francisco, backed by forward-thinking investors.