Lead Platform Engineer – AI Infrastructure

Omnis Partners are hiring on behalf of an enterprise AI consultancy helping large organisations move AI systems from prototype into safe, scalable production.

They are looking for a Lead Platform Engineer with deep hands-on experience designing, building and operating cloud-native platforms at scale.

This is a senior, hands-on role focused on Kubernetes, platform engineering, infrastructure automation, production reliability and self-service infrastructure for engineering teams.

The role

You will help design and operate secure, reliable platform infrastructure for enterprise AI workloads.

Key responsibilities include:

• Building and operating Kubernetes-based platforms
• Creating self-service infrastructure for engineering teams
• Improving reliability, resilience, observability and deployment safety
• Keeping platform tooling secure, current and production-ready
• Working closely with engineering teams and client stakeholders
• Making pragmatic trade-offs around reliability, cost, security and delivery speed

Technical experience

We are looking for someone with:

• 12+ years’ professional engineering experience
• Strong hands-on Kubernetes experience
• Terraform as a primary infrastructure-as-code tool
• Helm, Kustomize, Pulumi or similar
• ArgoCD or FluxCD
• Cert-Manager, ExternalDNS and Cluster Autoscaler
• Bash / shell scripting
• Python or Go for tooling and automation
• Secrets management and supply-chain security
• Cosign, SBOMs, vulnerability scanning or similar
• DNS, TLS, load balancers and service mesh concepts
• Strong production reliability and operational ownership

Useful background

This role may suit someone from a platform engineering, SRE, DevOps or infrastructure engineering background.

Experience in regulated, enterprise, financial services, public sector, healthcare, defence or other security-conscious environments would be highly relevant.

Exposure to private cloud, sovereign cloud, on-prem or non-standard cloud environments would also be useful.

The person

You should be a senior hands-on engineer who thinks in terms of platforms, not just infrastructure tasks.

You will be pragmatic, security-aware, collaborative with product and engineering teams, and comfortable keeping infrastructure reliable while enabling teams to move quickly.

AI/ML experience is not required, but an interest in the platform, infrastructure and reliability challenges behind production AI systems would be helpful.

VISA sponsorship is unavailable.