Principal Infrastructure Engineer – Platform

About This Opportunity

Our talent team is representing a confidential AI infrastructure organization in the UK. This Principal Infrastructure Engineer role sits within the Platform team and offers the chance to architect next-generation cloud infrastructure purpose-built for high-performance compute and AI/ML workloads. You'll drive technical strategy, design globally distributed systems, and lead implementation of cutting-edge virtualisation, networking, and orchestration solutions.

This is a full-time, permanent position based in the UK with occasional office travel, reporting to the Engineering Manager.

Responsibilities

In this role, you will:

• Architect and implement virtualisation solutions optimised for HPC environments, including hypervisor tuning and dynamic resource allocation for storage and networking
• Lead lifecycle management of bare-metal hardware, from provisioning to orchestration, with deep Unix/Linux system expertise
• Design high-performance, cloud-native storage and networking solutions using advanced protocols (TCP, UDP, DNS, encryption) and software-defined networking technologies
• Deploy and manage Kubernetes clusters across hybrid and multi-cloud environments, leveraging CNIs, service meshes, and scalable CI/CD pipelines
• Implement security hardening including RBAC, network policies, admission controllers (OPA/Gatekeeper, Kyverno), secrets management (Vault/OpenBao), and supply chain security with image scanning and signed artifacts
• Build observability pipelines integrating logs, metrics, and distributed tracing to monitor global systems
• Create automation frameworks using Terraform, Ansible, Go, and Python to reduce operational overhead and streamline deployments
• Evaluate emerging technologies and develop architectural proposals balancing technical and business requirements
• Mentor team members on architectural principles and best practices while partnering with cross-functional stakeholders
• Produce clear, concise documentation for infrastructure designs, processes, and systems

What We're Looking For

Required qualifications:

• Proven experience in infrastructure architecture and solution design, with ability to produce detailed technical proposals
• Demonstrated success evaluating and adopting new technologies and toolsets
• Extensive expertise in large-scale global infrastructure deployments, particularly AI-native, HPC, and cloud-native environments
• Advanced knowledge of Kubernetes fundamentals, container networking (CNI), and service mesh technologies
• Deep understanding of virtualisation and hypervisor technologies for high-performance workloads
• Strong proficiency in networking protocols (TCP, UDP, DNS, BGP) and SDN solutions
• Skilled in Infrastructure-as-Code tools like Terraform, Ansible, and cloud orchestration frameworks
• Hands-on coding experience in Go, Python, or similar languages for automation
• Solid grasp of observability tools (Prometheus, Grafana) and distributed tracing systems
• Strong communication and collaboration skills with ability to convey complex technical concepts to diverse audiences

Preferred qualifications:

• Expertise in AI/ML workloads, GPU-accelerated systems, or HPC infrastructures, including GPU partitioning with MIG and NVIDIA GPU Operator
• Experience with RDMA fabrics such as InfiniBand or RoCEv2, and GPUDirect data paths
• High-throughput distributed storage at scale (Ceph, parallel filesystems)
• Familiarity with hybrid cloud and edge computing principles
• Experience leading architecture initiatives in agile environments

How We Work With You

Candidates apply directly through Get A Job.ai. Our recruiting team will conduct an initial screening to understand your background and ensure alignment with the role requirements. Qualified candidates will then be submitted to our client for consideration. Please do not attempt to contact the client directly, as all communication should flow through our team to ensure a coordinated process.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Equal Opportunity: Get A Job.ai is committed to inclusive recruiting practices. We welcome applications from candidates of all backgrounds and work to ensure fair consideration throughout the hiring process.