Salient Group
DevOps Engineer
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
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 is small, technical, and moves quickly, now seeking a Foundational DevOps Engineer to build the infrastructure that enables researchers and engineers to move rapidly.
Role Insights
This is not a maintain-the-existing-stack role—it’s about setting foundational patterns across:
- Cloud infrastructure
- GPU compute
- Kubernetes
- CI/CD
- Observability
- Security
- Reproducibility
- internal tooling
The impact is critical: improvements in reliability, training speed, experiment orchestration, or self-service help the team accelerate discoveries.
Responsibilities
- Build and own cloud infrastructure across AWS/GCP
- Manage Kubernetes environments tailored for AI workloads
- Support GPU compute for model training and inference
- Develop GitOps-aligned CI/CD workflows for rapid, safe deployments
- Enhance observability, including monitoring, alerting, and incident response
- Create reproducible research and production environments
- Implement security best practices across IAM, secrets management, networking, and vulnerabilities
- Build internal tools that empower researchers and engineers to self-serve infrastructure
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements
Must-Have
- Strong DevOps/Platform Engineering/SRE/Infrastructure background
- Hands-on experience with:
- Kubernetes, Docker, Terraform/Pulumi, cloud infrastructure
- Linux, networking, CI/CD pipelines, monitoring, security
- Ideally:
- Experience with GPU workloads, AI infrastructure, MLOps, or research computing
- A pragmatic ownership bias—build systems well but effectively for an early-stage environment
- Curiosity, collaboration, self-direction, and enthusiasm for solving hard technical problems
Nice-to-Have
- Experience with NVIDIA GPUs, CUDA, vLLM, Triton, Slurm, MLflow, W&B, Airflow, Argo, or DVC
- Background in AI labs, deep-tech, scientific computing, or high-performance cloud platforms
- Experience building infrastructure from scratch in a startup or high-growth setting
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Why Join?
- Stealth AI company with strong investment backing
- Foundational role with sweeping ownership
- Build critical infrastructure for AI + real-world scientific experimentation
- Collaborate with a small, high-calibre team across AI, engineering, and science
- Minimal legacy systems—help define the way things are built
- Competitive compensation + meaningful equity
- London HQ with flexibility for strong candidates across Europe (similar time zones)
If you’re a DevOps Engineer, Platform Engineer, SRE, AI Infrastructure Engineer, GPU Infrastructure Engineer, or MLOps practitioner looking to build infrastructure from the ground up—I’d love to chat.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location