Distributed Compute Developer (Python) - London - Up to £225k + Benefits

Salary: up to £225,000 P/A

Location: London

The role:

We are looking for a Distributed Compute Engineer to help build the backbone of a next-generation compute platform designed to operate at extreme scale.

In this role, you will design and develop the systems responsible for orchestrating, scheduling, and executing workloads across vast distributed environments. This is not simply backend development—this is engineering the machinery that turns thousands of machines into a single, cohesive, highly efficient compute engine.

You’ll work on problems that sit at the core of modern infrastructure: resource allocation, fault tolerance, task scheduling, data locality, and system throughput. Expect to design services that remain performant under pressure, recover gracefully from failure, and scale without friction.

Working closely with platform engineers, data teams, and research groups, you will identify inefficiencies across distributed workloads and build systems that eliminate them. From optimising execution pipelines to reducing latency at scale, your work will directly influence how compute is consumed across the organisation.

As part of a high-calibre, early-stage team, you will take ownership of key architectural components—defining how systems communicate, scale, and evolve. You’ll contribute to a culture that values precision engineering, thoughtful design, and a deep understanding of how software behaves in production at scale.

This is an opportunity for someone who enjoys building systems that are invisible when they work perfectly—but absolutely critical when they don’t. You’ll be shaping infrastructure that quietly powers everything around it.

You will have:

• 4+ years of experience building production systems using Python (experience with Go, Rust, or C++ advantageous)
• Proven experience working with distributed systems at scale
• Strong understanding of system design, concurrency, and performance optimisation
• Experience with task scheduling, orchestration frameworks, or large-scale data processing systems
• Solid grasp of networking fundamentals and distributed system failure modes
• Excellent academic background – ideally Computer Science or a related discipline
• A naturally curious mindset with a tendency to dig deeper than necessary

The organisation is building some of the most advanced compute infrastructure in the industry, and you can expect:

• A genuinely world-class engineering environment
• Complex technical challenges that very few companies are equipped to tackle
• Highly competitive compensation and bonus structure
• Engineers who care deeply about craft, performance, and clean design
• Real ownership and influence over systems that operate at significant scale
• Technology that is not just current—but setting the pace for what comes next

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