Lead Infrastructure Engineer (OpenStack)

TL;DR

Lead Infrastructure Engineer (OpenStack): Designing and operating OpenStack and Kubernetes clusters optimized for GPU workloads with an accent on platform stability, scalability, and technical leadership. Focus on building infrastructure through automation (IaC, GitOps), managing production-grade bare-metal environments, and leading a high-calibre engineering team.

Location: Remote (Must be based in the UK)

Company

hirify.global is the provider of Hyperstack, a full-stack AI cloud delivering on-demand and private GPU infrastructure for the world's most compute-intensive workloads.

What you will do

• 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, establishing technical standards and direction.
• Automate infrastructure deployment and management using IaC, GitOps, and CI/CD pipelines.
• Ensure platform reliability through advanced monitoring, observability, and incident management practices.
• Collaborate with DevOps, Product, and Support teams to align infrastructure with real-world customer needs.
• Manage operational governance, including incident, problem, and change management.

Requirements

• Strong hands-on experience operating OpenStack in production environments.
• Experience running production-grade Kubernetes clusters, ideally on bare-metal or private clouds.
• Solid fundamentals in Linux, networking, and storage with a pragmatic troubleshooting approach.
• Proficiency with infrastructure automation, CI/CD, and Git-based workflows.
• Proven leadership or mentoring experience within infrastructure or platform teams.
• Must be based in the UK.

Nice to have

• Experience integrating Kubernetes with OpenStack.
• Exposure to GPU infrastructure, HPC, or large-scale compute platforms.
• Familiarity with advanced networking or cloud-native ecosystems.
• Contributions to open-source or cloud-native communities.

Culture & Benefits

• Competitive salary and annual discretionary bonus scheme.
• Employee wellbeing benefits and 25 days of holiday plus public holidays.
• Flexible working arrangements (remote or hybrid).
• High level of autonomy, ownership, and trust to experiment and take initiative.
• Clear career progression opportunities within a fast-growing AI infrastructure company.