Role Overview

We are seeking an experienced AWS EKS Engineer to design, implement, and manage Kubernetes-based container platforms on AWS. This role requires deep technical expertise in Kubernetes, Amazon EKS, and cloud-native architectures, along with strong problem-solving and collaboration skills.

Key Responsibilities

• Design, deploy, and manage Amazon EKS clusters in production environments.
• Implement Kubernetes RBAC, IAM roles for service accounts (IRSA), and EKS Pod Identity.
• Ensure container security and compliance across environments.
• Develop and maintain Infrastructure as Code using Terraform, CloudFormation, CDK, and Helm.
• Integrate CI/CD pipelines and GitOps practices with tools like Argo CD, Flux, Jenkins, and GitLab CI.
• Optimize networking and storage for Kubernetes workloads (VPC, CNI, EBS CSI, EFS CSI, FSx).
• Implement monitoring and observability solutions using Prometheus, Grafana, CloudWatch, and OpenTelemetry.
• Troubleshoot complex distributed systems and ensure high availability and scalability.
• Collaborate with cross-functional teams to deliver secure, efficient, and cost-optimized solutions.

Required Qualifications

• 5+ years in cloud engineering, with 3+ years in Kubernetes and container orchestration.
• Hands-on experience with Amazon EKS in production environments.
• Strong knowledge of AWS networking, Kubernetes architecture, and cluster autoscaling.
• Proficiency in Python, Bash, or Go scripting.
• Experience with CI/CD, GitOps, and infrastructure automation tools.
• Expertise in container security best practices and compliance frameworks.

Preferred Certifications

• AWS Certified Solutions Architect – Professional
• AWS Certified Security – Specialty
• AWS Certified Advanced Networking – Specialty
• Certified Kubernetes Administrator (CKA), CKAD, CKS

Soft Skills

• Excellent communication and documentation skills.
• Ability to work independently and manage multiple priorities.
• Strong problem-solving mindset and collaborative approach.

Education

• Bachelor’s degree in Computer Science, IT, or equivalent practical experience.

Preferred Experience

• Multi-cluster management and service mesh architectures.
• AWS GovCloud and FedRAMP compliance.
• Serverless containers (AWS Fargate) and AI/ML workloads on EKS.
• SaaS architectures, multi-tenancy patterns, and cost optimization strategies.
• Contributions to open-source Kubernetes or AWS container tools.