DevOps Engineer

I’m supporting a global cloud software business specializing in enterprise planning and performance management, currently scaling a high-performance computing (HPC) and GPU engineering capability in London.

Contract details:

• London-based, hybrid (1 day onsite per week)
• Flexible Day rate
• 3-month initial contract starting May 2026
• Extensions likely through to December

This opportunity is particularly relevant for engineers operating in DevOps / platform roles within cloud-native or high-scale environments who are looking to move into more advanced, performance-driven infrastructure supporting distributed and GPU-accelerated systems.

What they’re looking for:

• Strong experience with AWS (IAM, EC2, networking)
• Proven background in CI/CD and Infrastructure as Code (Terraform, Kubernetes, etc.)
• Experience building and managing scalable, distributed systems
• Strong understanding of observability (logging, metrics, tracing)
• Exposure to high-performance, GPU, or compute-intensive environments (or adjacent ML/data platforms)
• Ability to support performance, benchmarking, and infrastructure optimization

Strongly suited to candidates from:

• Cloud-native product companies
• High-scale SaaS environments
• Data / AI / ML platform teams
• Consulting or engineering-led organizations working on distributed systems

Why this role stands out:

• Work on a greenfield GPU-accelerated HPC platform
• Move beyond standard DevOps into performance engineering
• Exposure to distributed compute, benchmarking, and advanced infrastructure
• High-impact role supporting a critical, business-wide platform
• Opportunity to work at the intersection of cloud, AI, and high-performance systems

Core focus of the role:

This is not a standard DevOps support role.

The focus is on:

• Building and scaling infrastructure for distributed computing workloads
• Developing CI/CD and engineering environments for HPC and GPU systems
• Driving observability and performance optimization across services
• Supporting benchmarking and validation frameworks
• Enabling reliable, high-throughput compute environments