Jobs → Engineering → Senior Kubernetes Engineer – AWS EKS

About the Role We are looking for a Senior Kubernetes Engineer with AWS EKS expertise to join our team at Siatech Solutions. This is a contract position with a duration of 6 months, with possible extension. Key Responsibilities • Administer Kubernetes in large-scale production environments • Design and operate Amazon EKS clusters • Implement Kubernetes autoscaling technologies • Support distributed compute frameworks in Kubernetes environments • Utilize AWS services including EC2, EBS, EFS, IAM, VPC, CloudWatch, and Auto Scaling Requirements • 8+ years of infrastructure, cloud engineering, or platform engineering experience • Deep expertise administering Kubernetes in large-scale production environments • Strong experience designing and operating Amazon EKS clusters • Experience with Kubernetes autoscaling technologies including Karpenter or Cluster Autoscaler • Strong understanding of Kubernetes scheduling, networking, storage, security, and cluster lifecycle management • Experience supporting Apache Spark or other distributed compute frameworks in Kubernetes environments • Hands-on experience with AWS services including EC2, EBS, EFS, IAM, VPC, CloudWatch, and Auto Scaling • Experience operating highly available, production-critical systems with a focus on performance, resiliency, and automation • Strong scripting or programming experience using Python, Go, or Bash • Experience implementing Infrastructure as Code using Terraform, CloudFormation, or similar technologies • Strong troubleshooting skills across distributed systems and cloud-native infrastructure Preferred Qualifications • Kubernetes certifications (CKA, CKAD, or CKS) • AWS Certified Solutions Architect or AWS Certified Kubernetes-related certifications • Experience operating air-gapped or highly secure cloud environments • Contributions to Kubernetes, Karpenter, Spark, or other cloud-native open-source projects • Experience implementing FinOps and cloud cost optimization strategies • Background supporting large-scale data engineering, analytics, or AI/ML platforms • Familiarity with GitOps tools such as ArgoCD or Flux