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# AI Engineer - Kubernetes and Microservices Engineer

- **Company:** TalentOla View all jobs
- **Location:** Wilmington, DE, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Architectural Patterns, Microsoft Azure, Cloud Computing, Program Optimization, Continuous Delivery, Continuous Integration, Network Topologies, Software Deployment, Cloud Platform System, Istio, Reliability of Systems, Kubernetes, Infrastructure Automation Frameworks, Bicep, Linkerd (Service Mesh), Azure AKS, Terraform, Microservices
- **Published:** August 15, 2026
- **Apply:** https://www.careerjet.com/jobad/us2e4499e558c6dd6a7d1e6f231992b422

## About the Role

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).

## Description

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.


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