About the job

Foundational DevOps Engineer

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 on:

• 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 in a DevOps Engineer:

• 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’s:

• 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.