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

Hunter Bond; Greater London; On-site; GBP 202,500 - 247,500; Full time

Benefits offered by this job

Highly competitive compensation and bonus structure

World-class engineering environment

Real ownership and influence over systems

Job summary

Hunter Bond is looking for a Distributed Compute Engineer to design and develop systems central to a next-generation compute platform in London. The role involves addressing challenges in resource allocation, fault tolerance, and performance optimisation.

Ideal candidates will possess over 4 years of relevant experience, particularly in Python, and have a solid understanding of distributed systems. The position offers a highly competitive salary, complex technical challenges, and real ownership over impactful infrastructure.

Qualifications

• 4+ years of experience building production systems using Python.
• Proven experience working with distributed systems at scale.
• Strong understanding of system design, concurrency, and performance optimisation.

Responsibilities

• Design and develop systems for orchestrating and executing workloads across distributed environments.
• Identify inefficiencies in distributed workloads and build systems to eliminate them.
• Take ownership of key architectural components influencing system communication and scalability.

Skills

Python

Distributed systems

System design

Task scheduling

Networking fundamentals

Education

Bachelor's degree in Computer Science or related discipline

Tools

Orchestration frameworks

Data processing systems

Job description

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