AI Infrastructure Engineer, Sandbox Platform

<p>As a Software Engineer on the AI Infrastructure team, you'll help build and evolve our agent sandboxing platform — the secure, high-performance code execution layer powering our agentic workflows, deployed across both internal and customer-managed environments. This is a role for someone who cares as much about the experience of the engineers and researchers using this system as they do about the kernel internals underneath it.</p> <p>You'll combine deep systems expertise (isolation, virtualisation, performance) with an obsession for developer experience: clean APIs, clear error messages, good docs, and a client library that feels well-crafted. You'll partner closely with internal teams to understand how they use the platform, debug their issues, and shape a roadmap that balances immediate needs with long-term architecture.</p> <h2>You will:</h2> <ul> <li>Design and build the sandboxing platform, client library, and API surface for secure code execution across containerized and virtualized environments</li> <li>Ensure strong isolation, security, and reproducibility of execution across user sessions and workloads</li> <li>Optimise for cold-start latency, memory footprint, and resource utilisation at scale</li> <li>Drive down error rates through systematic debugging, monitoring, and proactive fixes</li> <li>Partner closely with internal teams using the platform to understand their needs, debug issues, and build tooling that serves their use cases</li> <li>Respond to incidents and production issues with urgency, conducting root cause analysis and implementing preventive fixes</li> <li>Help develop and maintain a product roadmap for sandboxing, balancing immediate needs against long-term architectural investment</li> <li>Lead architecture reviews and own projects end-to-end, from design through deployment, in fast-paced cross-functional settings</li> </ul> <h2>Ideally you'd have:</h2> <ul> <li>4+ years of experience building high-performance systems software, with meaningful time spent maintaining libraries, SDKs, or developer-facing APIs</li> <li>Deep understanding of Linux internals: process isolation, memory management, cgroups, namespaces, etc.</li> <li>Experience with containerisation and virtualisation technologies (e.g., Docker, Firecracker, gVisor, QEMU, Kata Containers)</li> <li>Proficiency in a systems programming language such as Go, Rust, or C/C++</li> <li>A track record of obsessing over developer experience — API design, error propagation, documentation, and the small details that make a library feel well-crafted</li> <li>Comfort working across infrastructure layers, from kernel modules to orchestration frameworks (e.g., Kubernetes)</li> <li>Strong debugging skills and the ability t