Lead AKS Platform Engineer
Role Overview
Hands-on Lead Platform Engineer role designing, building, and operating the client's Azure Kubernetes Service (AKS) platform.
The secure, resilient platform will support more than 50 enterprise AI and automation use cases, including APIs, AI agents, RAG pipelines, and document processing.
Own cluster architecture, runtime isolation, lifecycle management, and technical guidance across development, test, pre-production, and production environments.
12-month contract on a multi-year project.
Key Skills for This Role
Full Job Posting
Role overview
Hands-on Lead Platform Engineer role designing, building, and operating the client's Azure Kubernetes Service (AKS) platform.
The secure, resilient platform will support more than 50 enterprise AI and automation use cases, including APIs, AI agents, RAG pipelines, and document processing.
Own cluster architecture, runtime isolation, lifecycle management, and technical guidance across development, test, pre-production, and production environments.
12-month contract on a multi-year project.
Platform engineering responsibilities
- Design and maintain AKS topologies, system and workload node pools, networking, and storage; manage upgrades, node-image updates, patching, and drift through controlled changes.
- Build versioned Terraform modules and Small, Medium, Large, and Critical workload profiles so squads can onboard through configuration-driven workflows without routine cluster-admin access.
- Enforce tenant isolation using namespaces, RBAC, network policies, resource quotas, and pod security controls.
- Integrate private clusters, DNS, controlled ingress and egress, Entra Workload Identity, Key Vault, and container registries with enterprise landing zones.
- Own Helm and manifest standards, GitOps workflows, admission validation, and runtime patterns for APIs, agent workers, and batch or event-driven jobs; collaborate with DevSecOps on CI/CD.
- Implement zone-aware availability, pod disruption budgets, backups, and disaster recovery to meet agreed SLOs and RTOs.
- Manage HPA, KEDA, and Cluster Autoscaler; run load and endurance tests with NFR engineers and optimize capacity and cost with FinOps.
- Establish metrics, logs, and tracing; support on-call and incident response, lead root-cause analyses with SRE and Run teams, review changes, and coach platform adopters.
Must-have qualifications
- At least 8 years in infrastructure, cloud, or platform engineering.
- At least 6 years with Kubernetes or containers.
- At least 3 years of hands-on production AKS engineering.
- Proven record leading cluster design, upgrades, major incident resolution, and reusable multi-team automation.
- Bachelor’s degree in Computer Science, IT, Engineering, or equivalent practical experience.
Preferred qualifications
- Experience in a regulated industry is preferred.
- CKA and Azure Administrator or Solutions Architect certifications are preferred; CKS, Terraform Associate, and ITIL Foundation are desirable.
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