
Job Overview
Location
UK/Europe
Job Type
Full-time
Category
Engineering
Date Posted
April 14, 2026
Full Job Description
đź“‹ Description
- • Lead Infrastructure Engineer role focused on OpenStack and Kubernetes platforms powering GPU cloud infrastructure for AI, ML, and HPC workloads at NexGen Cloud Limited.
- • Day-to-day responsibilities include owning and driving the design, deployment, and operation of OpenStack and Kubernetes clusters optimized for GPU workloads; leading and developing a team of 4–5 infrastructure engineers; building and improving infrastructure through automation (IaC, GitOps, CI/CD); ensuring platform reliability via monitoring, observability, and incident management; collaborating with DevOps, Product, and Support teams; identifying opportunities to simplify, standardize, and scale systems; taking ownership of operational governance (incident, problem, change management); and communicating platform performance, risks, and improvements to leadership.
- • NexGen Cloud is a fast-growing scale-up building next-generation GPU cloud infrastructure, best known for its Hyperstack platform used by teams running compute-heavy applications requiring speed, reliability, and control. The company emphasizes a culture of curiosity, ownership, collaboration, and real-world impact.
- • In this role, you will gain hands-on leadership experience scaling critical infrastructure, deepen expertise in OpenStack and Kubernetes for GPU workloads, drive automation and reliability practices, mentor a high-calibre engineering team, and directly influence the evolution of a platform powering next-gen AI infrastructure—offering clear career progression and meaningful impact in a fast-moving, innovative environment.
Skills & Technologies
About NexGen Cloud Limited
NexGen Cloud Limited is a Bristol-based cloud infrastructure provider focused on high-performance GPU resources, AI workloads, and edge computing services. Its offerings include a GPU-as-a-Service platform, decentralized cloud marketplace, and sustainable data centers powered by renewable energy. The company targets enterprises, researchers, and developers needing scalable compute for artificial intelligence, rendering, and scientific simulations while emphasizing cost efficiency and environmental sustainability.
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