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Lead Infrastructure Engineer (OpenStack) - Remote

NexGen CloudUK - Remote
Remote Full-time

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Experience Level

Manager

Qualifications

Proven experience in leading infrastructure projects, particularly with OpenStack and Kubernetes. Strong understanding of cloud architecture and infrastructure management. Ability to troubleshoot complex systems and provide innovative solutions. Excellent communication and leadership skills. Experience working in agile environments.

About the job

NexGen Cloud develops Hyperstack, an AI cloud platform that serves clients ranging from AI researchers to large enterprises with high compute requirements. The company provides both on-demand and private GPU infrastructure, supporting teams where performance is essential.

Collaboration and agility shape the team’s approach. Employees regularly use AI tools to tackle complex challenges, accelerate project delivery, and improve enterprise GPU solutions.

Role overview

The Lead Infrastructure Engineer (OpenStack) works remotely within the UK as part of the Infrastructure department, reporting to the Head of Infrastructure. This position supports Hyperstack’s rapid global growth, focusing on GPU-powered infrastructure for AI, machine learning, and high-performance computing workloads.

What you will do

  • Guide and oversee the ongoing development of OpenStack and Kubernetes environments
  • Optimize system performance, reliability, and efficiency
  • Collaborate with the Head of Infrastructure and a skilled team to address scaling needs

The technical landscape involves complex OpenStack and Kubernetes deployments that require steady leadership to ensure stability, scalability, and continuous improvement.

About NexGen Cloud

NexGen Cloud is a pioneering enterprise in the AI cloud space, dedicated to delivering high-performance GPU infrastructure that meets the needs of a global clientele. Our commitment to innovation and excellence drives us to create solutions that empower teams to push the boundaries of what is possible in AI and computational workloads.

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