Jobs at Superserve
Must have skills
Good to have skills
About this Opportunity
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.
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
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
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
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.
Small, high-ownership team
Work directly with the founder
Real technical authority and decision-making power
No layers, no committees—just building
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
Find the perfect job!
Use Job Hunt AI to find the perfect job for you.