Kubernetes / AKS Platform Engineer

AMSYS Innovative Solutions
8 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

Artificial Intelligence
Azure
Cloud Computing
Cloud Engineering
Linux
Github
Monitoring of Systems
Network Troubleshooting
Role-Based Access Control
Azure
Istio
System Availability
Containerization
Kubernetes
Deployment Automation
Rancher
Linkerd (Service Mesh)
Azure
Hardware Infrastructure

Job description

We are looking for a hands-on Senior Kubernetes / Platform Engineer to support enterprise-scale Kubernetes environments across Azure AKS and on-prem infrastructure. This role focuses on production operations, troubleshooting, platform reliability, and Kubernetes administration in a large enterprise environment. Ideal candidates will have strong AKS experience, deep troubleshooting skills, and production support for containerized applications., * Manage and support Kubernetes environments (AKS + on-prem K8S)

  • Troubleshoot production platform and networking issues
  • Support ingress, routing, scaling, storage, and workload isolation
  • Build and maintain CI/CD pipelines and deployment automation
  • Work with Helm, GitOps, and containerized workloads
  • Partner with architecture and engineering teams on platform improvements
  • Support cloud infrastructure and operational best practices
  • Assist with emerging AI/ML platform workloads running on Kubernetes, Enterprise-scale platform engineering environment supporting modern cloud-native and AI transformation initiatives.

Requirements

  • Strong hands-on Kubernetes experience (AKS preferred)
  • Experience supporting production Kubernetes environments
  • Kubernetes networking, ingress, RBAC, scaling, and troubleshooting
  • Azure cloud infrastructure experience
  • CI/CD pipelines (Azure DevOps and/or GitHub Actions)
  • Helm and container deployment experience
  • Linux and cloud operations background
  • Experience with enterprise observability and monitoring tools

Nice to Have

  • Rancher / K3s experience
  • Service mesh exposure (Istio, Envoy, Linkerd)
  • GitOps / ArgoCD
  • AI/ML workload deployment experience
  • Azure OpenAI / Azure Foundry exposure

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