# AI Infrastructure Engineer, Sandbox Platform

**Company**: Scale
**Location**: London, UK
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/scaleai/jobs/4717105005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b4ef4c88-0f9

## Description

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.

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

- Optimise for cold-start latency, memory footprint, and resource utilisation at scale

- Drive down error rates through systematic debugging, monitoring, and proactive fixes

- 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

- 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 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++

- 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 haves:

- 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)

- Open-source contributions to systems or developer-tools projects

- History of on-call/incident response for production systems

## Skills

### Required
- Linux internals
- containerisation
- virtualisation
- systems programming
- Go
- Rust
- C/C++
- Kubernetes
- debugging
- performance optimisation
- security

### Nice to have
- founder or early engineer at an infrastructure-focused startup
- LLM agents and agent frameworks
- running secure workloads in multi-tenant or untrusted environments
- snapshotting and restore techniques
- open-source contributions to systems or developer-tools projects
- on-call/incident response for production systems

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/scaleai/jobs/4717105005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)