AI Engineer - Kubernetes and Microservices Engineer

We are seeking a Senior Kubernetes and Microservices Engineer to design, scale, and manage our core infrastructure. You will lead the deployment, automation, and optimization of our cloud-native platforms. This role focuses heavily on Azure Kubernetes Service (AKS), complex cloud networking, and high-availability traffic management. Key Responsibilities Cluster Management: Design, deploy, monitor, and manage enterprise-grade AKS clusters. Traffic Engineering: Analyze and configure complex networking layers and advanced traffic management solutions. System Optimization: Ensure system reliability, security, compliance, and multi-region scalability. CI/CD Automation: Build and maintain robust automation pipelines for seamless application deployment. Architectural Leadership: Define Kubernetes best practices, architectural patterns, and core primitive usage.

Kubernetes Expertise: 7+ years of hands-on experience with containerization and production Kubernetes management. Azure & AKS Focus: 3+ years of specialized experience designing and configuring Azure Kubernetes Service (AKS). Deep Architectural Knowledge: Expert-level understanding of Kubernetes architecture, objects, and core primitives. Advanced Networking: Robust analytical skills in traffic management within complex, multi-layered network topologies. Automation & Ops: Proven track record implementing continuous integration, continuous delivery (CI/CD), and proactive cluster monitoring. Advance Traffic Management: Robust Traffic Management analytical skills. Experience with AKS configuration and management within and across complex networking layers Preferred Skills CNCF Certifications (CKA, CKAD, or CKS). Microsoft Certified: Azure Solutions Architect Expert. Experience with Infrastructure as Code (IaC) tools like Terraform or Bicep. Familiarity with service meshes (Istio, Linkerd) and GitOps workflows (ArgoCD, Flux).