infrastructure
Posted 3 days agoAI Infrastructure Engineer, Sandbox Platform
at scaleai
London, United KingdomOn-site
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Responsibilities
- Design and build the sandboxing platform, client library, and API surface for secure code execution across containerized and virtualized environments
- Ensure strong isolation, security, and reproducibility of execution across user sessions and workloads
- Optimise for cold-start latency, memory footprint, and resource utilisation at scale
- Drive down error rates through systematic debugging, monitoring, and proactive fixes
- Lead architecture reviews and own projects end-to-end, from design through deployment, in fast-paced cross-functional settings Ideally you'd have: 4+ years of
Requirements
- 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.
- experience of the engineers and researchers using this system as they do about the kernel internals underneath it.
- experience: clean APIs, clear error messages, good docs, and a client library that feels well-crafted.
- experience building high-performance systems software, with meaningful time spent maintaining libraries, SDKs, or developer-facing APIs
- Deep understanding of Linux internals: process isolation, memory management, cgroups, namespaces, etc. •
- Experience with containerisation and virtualisation technologies (e.g., Docker, Firecracker, gVisor, QEMU, Kata Containers)
- Proficiency in a systems programming language such as Go, Rust, or C/C++
- Comfort working across infrastructure layers, from kernel modules to orchestration frameworks (e.g., Kubernetes)
- Strong debugging skills and the ability to navigate performance/security tradeoffs in production systems
- Experience as a founder or early engineer at an infrastructure-focused startup, owning a product end-to-end
- Familiarity with LLM agents and agent frameworks (e.g., OpenHands, Agent2Agent, MCP) •
- Experience running secure workloads in multi-tenant or untrusted environments (e.g., FaaS, CI sandboxes, remote notebooks)
- Exposure to snapshotting and restore techniques (e.g., CRIU, VM snapshots, overlays)
- At Scale, our mission is to develop reliable AI systems for the world's most important decisions.
- Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.
- We are expanding our team to accelerate the development of AI applications.
Benefits
- We comply with the United States Department of Labor's Pay Transparency provision .
Contact
- If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com.
Additional details
- This is a role for someone who cares as much about the
- You'll combine deep systems expertise (isolation, virtualisation, performance) with an obsession for developer
- 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. You will:
- Partner closely with internal teams using the platform to understand their needs, debug issues, and build tooling that serves their use cases
- Respond to incidents and production issues with urgency, conducting root cause analysis and implementing preventive fixes
- Help develop and maintain a product roadmap for sandboxing, balancing immediate needs against long-term architectural investment
- experience — API design, error propagation, documentation, and the small details that make a library feel well-crafted
- History of on-call/incident response for production systems
- PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us:
- We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.