Job description

Software Engineer, Platform (Senior/Staff) San Francisco / Remote 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. The Role 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. What You’ll Own 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 What We’re Looking For 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 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 Why This Role Matters AI agents are unreliable, unsafe, and hard to run in production today. We’re fixing that. This role is about building the foundation that makes intelligent systems actually usable in real-world environments—fast, secure, and dependable. If we get this right, a whole new category of software becomes possible. Working With Us Small, high-ownership team Work directly with the founder Real technical authority and decision-making power No layers, no committees—just building Bar for This Role This is a high-ownership, high-agency role . We’re looking for someone who wants to own a critical layer of the stack , not just contribute to it. California Pay Range $165,000 — $230,000 USD

Requirements

Must-haves

Software Engineer, Platform (Senior/Staff)
San Francisco / Remote
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.
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.
What You’ll Own
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)

Nice-to-haves

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
Why This Role Matters
AI agents are unreliable, unsafe, and hard to run in production today.
We’re fixing that.
This role is about building the foundation that makes intelligent systems actually usable in real-world environments—fast, secure, and dependable.
If we get this right, a whole new category of software becomes possible.
Working With Us
Small, high-ownership team
Work directly with the founder
Real technical authority and decision-making power

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

airustgokubernetes

Platform: greenhouse
Effort: quick