AI Infrastructure Engineer, Sandbox Platform

Responsibilities

We are representing a confidential AI technology organization seeking an AI Infrastructure Engineer, Sandbox Platform based in London. In this role, you will build and evolve a secure, high-performance code execution platform that powers agentic workflows across internal and customer-managed environments.

Your work will combine deep systems expertise with a passion for developer experience. You'll create clean APIs, intuitive client libraries, and comprehensive documentation while ensuring robust isolation, security, and performance at scale.

Day-to-day, you will:

• 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
• Optimize for cold-start latency, memory footprint, and resource utilization at scale
• Drive down error rates through systematic debugging, monitoring, and proactive fixes
• Partner closely with internal teams 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
• Lead architecture reviews and own projects end-to-end, from design through deployment, in fast-paced cross-functional settings

What We're Looking For

Essential qualifications:

• 4+ years of 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 containerization and virtualization technologies (e.g., Docker, Firecracker, gVisor, QEMU, Kata Containers)
• Proficiency in a systems programming language such as Go, Rust, or C/C++
• A track record of obsessing over developer experience — API design, error propagation, documentation, and the small details that make a library feel well-crafted
• 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
• Comfort with ambiguity, and the ability to context-switch between reactive incident work and proactive product development

Nice to have:

• 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
• 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)
• Open-source contributions to systems or developer-tools projects
• History of on-call/incident response for production systems

How We Work with You

When you apply through Get A Job.ai, our talent team will screen your application and arrange an initial conversation to understand your background and goals. If there's a strong match, we'll submit your profile to our client for consideration. Please do not contact the client directly—all communication flows through our recruiting team to ensure the best candidate experience.

Pay

Compensation details will be discussed during the screening process and are competitive for this level of infrastructure engineering expertise in London.

Equal Opportunity

Get A Job.ai is committed to inclusive hiring practices. We welcome applicants from all backgrounds and provide equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or veteran status.