Kubernetes Engineering Manager, HPC

Hybrid - 3 days/week in-office
USC or GC Preferred
Relocation assistance available!

The Kubernetes Engineering Manager will take ownership of the strategic roadmap, design and delivery of our Kubernetes platform. In addition, you will focus on continuous optimizations and performance enhancements of our Kubernetes platform as research demands augment. We are looking for a highly experienced technical manager who can lead the significant scaling up of our existing compute platforms and who excels working on the bleeding edge of technology;

pushing the boundaries of HPC compute performance and providing an innovative approach to solving complex technical challenges that arise. The HPC Kubernetes Engineering Manager will collaborate closely with the Kubernetes Platform Management team to ensure a smooth transition of new engineering capabilities, with a strong focus on operational excellence in all aspects of design and implementation.

• Strong leadership and strategic vision in the design, deployment and scaling of a high-performance Kubernetes platform
• Pro-active stakeholder engagement, ensuring the Kubernetes platform supports broader business outcomes and research demands
• Confident communication and collaboration, you will help drive cross functional engineering initiatives across the Technology and Research organizations
• Vendor Management experience, working closely with our key vendors providing continuous feedback to leverage and influence roadmaps and ensuring efficient and timely deployment, support and maintenance of critical platforms
• People leadership, managing and developing engineers and a high performing team across the UK and US
• A deep understanding of emerging trends and technologies in the Kubernetes ecosystems, working closely with Architecture and Innovation Teams to appraise and adopt
• Ensuring platforms are reliable, highly available and secure, managed with a Dev Ops mindset and Infrastructure-as-Code toolset
• Budget control, capacity forecasting and management

• Bachelor's Degree or equivalent experience
• Extensive technical experience with Kubernetes tailored for HPC/ML workloads in a complex distributed environment
• Contribute to performance tuning of ML workloads across GPU/CPU clusters – optimizations for workload scheduling, GPU integration, and resource management for distributed training jobs
• Experience scaling a high performance Kubernetes platform geographically at scale
• Implement and manage multi-tenant compute environments ensuring isolation and performance
• Integrate with distributed file systems and high-speed interconnects (e.g., Infini Band, RoCE)
• Ability to collaborate effectively across teams to deliver engineering solutions with a strong emphasis on operational excellence and seamless capability handover
• Confident stakeholder management and communication skills, aligning to value-driven outcomes
• Excellent team leadership, project management skills and promoting a high performance culture
• Drive engineering best practices across CI/CD, automation & tooling, configuration management and SRE concepts
• A commitment to security by designing and building secure, high-integrity systems