You will design, operate, and secure Azure?based, Kubernetes?centric infrastructure that underpins real?time, model?driven services Client Details This opportunity is with a large organisation in the financial services industry. Description • Design, build, and manage production infrastructure on Microsoft Azure with Kubernetes as the core orchestration platform. • Operate, monitor, and scale Kubernetes?based services, leading incident response and reliability improvements. • Partner with algorithm and application teams to deploy and run model?serving and inference workloads in production. • Build and refine CI/CD pipelines (e.g. GitHub Actions, Azure DevOps, GitLab CI) to enable fast, reliable releases. • Champion infrastructure?as?code, DevOps best practices, and enhanced observability across the engineering stack. Job Offer • End?to?end ownership of a high?impact Azure/Kubernetes platform, with direct influence over architecture, tooling, and DevOps practices. • Cutting?edge exposure to AI/ML and potentially LLM and GPU?based workloads, working closely with algorithm and product teams in real production environments • Significant experience as a DevOps, Platform, or SRE Engineer supporting large?scale, production systems. • Deep hands?on expertise with Azure services, Kubernetes, and observability tooling for distributed systems. • Proven track record building and maintaining CI/CD pipelines and automating infrastructure through code. • Comfortable collaborating with software and algorithm teams on model?related or AI?driven services; LLM or GPU