Omnis Partners are hiring on behalf of an enterprise-focused 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 and operating cloud-native platforms at scale. This is a hands-on role, focused on production reliability, Kubernetes, platform automation and building self-service infrastructure for engineering teams. The role You will help design, build and operate secure, reliable platform infrastructure for enterprise AI workloads. The work will involve: Building and operating Kubernetes-based platforms Designing self-service infrastructure for internal 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 12 years’ professional engineering experience Strong hands-on Kubernetes experience Terraform as the primary IaC tool Helm, Kustomize, Pulumi or similar ArgoCD / FluxCD Cert-Manager, ExternalDNS, 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 Platform engineering, SRE, DevOps or infrastructure engineering Experience building platforms for internal developers Regulated, enterprise, financial services, public sector or security-conscious environments Exposure to private cloud, sovereign cloud, on-prem or non-standard cloud environments would be useful The person You should be a senior hands-on engineer who thinks in terms of platforms, not just infrastructure tasks. You’ll suit this role if you are 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 interest in the platform and reliability challenges behind production AI systems would be helpful.
Locations
City of LondonLondon
