Senior Systems Architect – Kubernetes AI Platform

Era4; United Kingdom; On-site; GBP 90,000 - 130,000; Full time

Job summary

Era4 develops, owns and operates AI infrastructure across the UK, converting legacy sites into modern data-centre facilities powered by renewable energy. We are seeking a Systems Architect to translate business and regulatory requirements into scalable Kubernetes-based platform designs that guide platform engineering and operations teams.

Join Era4 to define end-to-end architecture of our AI platform, shaping how Kubernetes, GPU infrastructure, networking, storage, and automation integrate to

Qualifications

• Proven results designing scaled end-to-end systems (not just components).
• Expertise in infrastructure, cloud, or platform architecture/engineering.
• Exceptional experience designing Kubernetes and cloud-native solutions at scale.
• Commercial aptitude for performance, cost, time trade-offs and evolutions.
• Proven experience defining target architectures and technology roadmaps.
• Strong understanding of IaC, automation, and GitOps.
• Experience with Open Source stacks including scale-out storage (Ceph).

Responsibilities

• Platform Architecture & Design Authority: produce HLDs/LLDs for platform components.
• Establish reference architectures for multi-tenant AI workloads.
• Specify system integrations across Kubernetes, IAM, PaaS, Observability, automation, ITSM, Security, Billing.
• Define solutions for multi-tenant SaaS offerings for GPU cloud related offerings.
• Provide inputs for SLOs/SLAs; capacity planning and performance optimisation.

Skills

Kubernetes

Cloud architecture

Platform design

Automation

Open Source

Tools

Ceph

GitOps

Job description

Era4 develops, owns and operates AI infrastructure across the UK, converting legacy sites into modern data-centre facilities powered by renewable energy. We are seeking a Systems Architect to translate business and regulatory requirements into scalable Kubernetes-based platform designs that guide platform engineering and operations teams.

Join Era4 to define end-to-end architecture of our AI platform, shaping how Kubernetes, GPU infrastructure, networking, storage, and automation integrate to