Principal Kubernetes Platform Engineer

Job Description

REQUIREMENTS

• Kubernetes — deep knowledge of node groups, OIDC provider, Pod Identity/IRSA, cluster autoscaler, and EKS upgrade operations
• Helm — multi-environment chart authoring, value layering strategies, Helmfile or ArgoCD-based GitOps delivery; experience converting AKS/Azure chart patterns to AWS EKS equivalents
• Security — IRSA design, KMS CMK policies, Secrets Manager, External Secrets Operator, Pod Security Standards, Network Policies, and PCI DSS compliance; experience operating under regulatory security standards
• Networking — VPC design, private subnets, ALB ingress controller, ACM certificate management, Route 53, External-DNS, PrivateLink for internal AWS service endpoints, and security group design
• Container Platform — ECR image registry management, image scanning, multi-stage Dockerfile practices, non-root container enforcement, read-only root filesystem, and supply chain security
• CI/CD & GitOps — Jenkins pipeline authoring, Bitbucket/GitHub pull request workflows, ArgoCD or Flux, feature branch strategies, and pre-push security gate enforcement
• Observability — CloudWatch Container Insights, AWS Distro for OpenTelemetry (ADOT), Prometheus, Grafana, and distributed tracing on EKS
  
  

Preferred

• AWS CDK (TypeScript) — authoring CDK L3 constructs and infrastructure-as-code best practices for EKS, MSK, RDS, DynamoDB, S3, and Secrets Manager
• Kafka / Streaming — operating Kafka on Kubernetes, topic management, consumer group operations, and TLS/SASL authentication
• Database Operations — exposure to PostgreSQL (RDS/Aurora), DynamoDB, and Redis Enterprise in a Kubernetes or managed AWS environment
• Application Background — familiarity with polyglot microservice environments (Rust, Go, Java/Flink, C++); ability to read and advise on Dockerfiles, gRPC/protobuf service contracts, and multi-language build pipelines
• ML Platform Awareness — basic familiarity with SageMaker, Bedrock, or MLflow workloads running on EKS is a plus

RESPONSIBILITES

• Own and operate the AWS EKS cluster, upgrades, node groups, managed add-ons, cluster logging, and capacity planning
• Author, maintain, and review Helm charts for application services, infrastructure (Kafka, Redis, PostgreSQL), and observability layers
• Design and implement IAM/IRSA roles, KMS key policies, and Secrets Manager integration per workload, following least-privilege principles
• Enforce platform security standards, Pod Security Standards, Network Policies, container hardening, and PCI DSS 3.2.1 compliance gates in CI pipelines
• Manage ECR image registry, scanning policies, base image governance, and lifecycle rules
• Build and maintain AWS CDK infrastructure constructs for EKS, MSK, S3, RDS, DynamoDB, Secrets Manager, VPC, and supporting services
• Define and operate ingress patterns, AWS ALB, ACM certificates, Route 53 DNS, and External Secrets Operator for secrets delivery
• Lead platform security reviews and ensure all infrastructure changes are validated against organisational compliance standards before deployment
• Collaborate with application engineering teams across Rust, Go, Java, and C++ services to onboard workloads, review resource configurations, and resolve platform-level issues
• Drive GitOps delivery practices via ArgoCD, CI/CD pipeline integration, and feature branch release workflows
• Define and document platform standards, runbooks, and onboarding guides for the engineering team
• Act as the platform SME, mentoring engineers, leading design discussions, and making architectural decisions for the AWS platform layer

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