NexGen Cloud Limited logo

Lead Infrastructure Engineer

Job Overview

Location

Australia

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.
  • • Own and drive the design, deployment, and operation of OpenStack and Kubernetes clusters optimized for GPU workloads; lead and develop a team of 4–5 infrastructure engineers; build and improve infrastructure through automation (IaC, GitOps, CI/CD); ensure platform reliability via monitoring, observability, and incident management; collaborate with DevOps, Product, and Support teams; identify opportunities to simplify, standardize, and scale systems; take ownership of operational governance including incident, problem, and change management; communicate platform performance, risks, and improvements to leadership.
  • • NexGen Cloud is a fast-growing scale-up building next-generation GPU cloud infrastructure, including the Hyperstack platform used for compute-heavy applications requiring speed, reliability, and control; the team values curiosity, drive, quality, ownership, and collaboration.
  • • Opportunity to lead technical strategy and execution for critical infrastructure, develop leadership skills in a high-calibre team, gain deep expertise in GPU-optimized cloud platforms, and make visible impact on infrastructure powering next-gen AI workloads while growing professionally in a fast-moving, innovative environment.

Skills & Technologies

Kubernetes
Git
Linux
DevOps
Senior
Remote

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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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