Platform Engineer

Platform Engineer – Distributed Systems / HPC****Role Summary

Join a global, technology-driven organisation as a Platform Engineer, designing and building distributed systems that power large-scale computational research infrastructure.

The role sits at the intersection of distributed systems, platform engineering, and high-performance computing (HPC) , working on foundational services used by highly technical research and engineering teams.

Company Overview

A global technology-led organisation operating large-scale, data-intensive and computationally demanding systems. Engineering is central to the business, with significant investment in distributed computing, research infrastructure, and high-performance platforms.

Team

You will join a specialist platform engineering team responsible for building the infrastructure and services underpinning large-scale computational research.

Key Responsibilities

• Design, build, and operate distributed services managing compute workloads and data access across large-scale infrastructure

• Develop platform APIs and tooling to improve researcher and developer productivity

• Improve the reliability, scalability, and performance of compute-intensive workflows

• Build solutions across workload orchestration, resource management, observability, and security

• Translate complex research and infrastructure requirements into scalable platform capabilities

• Take end-to-end ownership from system design and implementation through to production operation

Required Experience

• 8-12+ years building and operating large-scale distributed systems in production

• Strong programming skills in C++, Java, Rust, Go , or similar systems languages

• Strong understanding of distributed systems, concurrency, performance, reliability, and fault tolerance

• Experience designing platforms, services, or infrastructure used by other engineers

• Degree in Computer Science or a related technical discipline, or equivalent practical experience

Desirable Experience

• Internal developer platforms, cloud infrastructure, orchestration systems, or HPC

• GPU-accelerated computing and/or ML infrastructure

• PyTorch, TensorFlow, or similar frameworks

• Experience supporting researchers, data scientists, or highly technical engineering users

• Large-scale, data-intensive or performance-sensitive environments

Why Join

• Solve complex distributed systems and infrastructure problems at significant scale

• Build platforms that directly accelerate computational research

• Work on challenging problems across HPC, distributed computing, orchestration, and platform engineering

• High degree of technical ownership and autonomy