Overview
Stealth AI Company | London | Strong base + meaningful equity
We’re working with a well-funded stealth AI company building at the intersection of AI, science, and real-world experimentation.
They’re early, very ambitious, and backed by top-tier investors. The team has high talent density, is small, technical, and moving quickly, now looking for a foundational DevOps Engineer to build the infrastructure that lets researchers and engineers move fast.
This is not a “maintain the existing stack” role. You’ll be helping set the patterns from the ground up across cloud infrastructure, GPU compute, Kubernetes, CI/CD, observability, security, reproducibility, and internal tooling.
The work is high-impact because the infrastructure directly supports scientific discovery. Every improvement in reliability, training speed, experiment orchestration, deployment, or researcher self-service helps the team learn faster and build better systems.
What you’ll work
- Build and own cloud infrastructure across AWS/GCP.
- Manage Kubernetes environments for AI workloads.
- Support GPU compute environments for model training and inference.
- Build CI/CD and GitOps workflows that let the team ship safely and quickly.
- Improve observability, monitoring, alerting, and incident response.
- Create reproducible research and production environments.
- Implement security best practices across IAM, secrets, networking, and vulnerability management.
- Build internal tools that allow researchers and engineers to self-serve infrastructure.
What we’re looking for
- Strong DevOps, Platform Engineering, SRE, or Infrastructure background.
- Hands-on experience with Kubernetes, Docker, Terraform/Pulumi, and cloud infrastructure.
- Comfortable working with Linux, networking, CI/CD, monitoring, and security.
- Ideally experience with GPU workloads, AI infrastructure, ML platforms, MLOps, or research computing.
- Strong bias for ownership able to build properly, but pragmatically, in an early-stage environment.
- Curious, collaborative, self-driven, and excited by hard technical problems
Nice to have
- Experience with NVIDIA GPUs, CUDA, vLLM, Triton, Ray, Slurm, MLflow, W&B, Airflow, Argo,or DVC.
- Background in AI labs, deep tech, scientific computing, research infrastructure, or high-performance cloud platforms.
- Experience building infrastructure from scratch in a startup or high-growth environment.
Why this is interesting
- Stealth AI company with serious backing.
- Foundational role with huge ownership.
- Build the infrastructure for AI + real-world scientific experimentation.
- Small, high-calibre team across AI, engineering, and science.
- Very little legacy — you’ll help shape how things are built.
- Strong compensation and meaningful equity.
- London HQ, with flexibility for strong people across Europe / similar time zones.
If you’re a DevOps Engineer, Platform Engineer, SRE, ML Platform Engineer, AI Infrastructure Engineer, or GPU Infrastructure Engineer who wants to build something from the ground up, I’d love to chat.
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