Support operation of Amazon EKS clusters across development, staging, and production environments.
Deploy and manage workloads using Helm charts.
Assist with GitOps deployments using Argo CD.
Troubleshoot Kubernetes networking, storage, and performance issues.
Apply container and runtime security controls as defined by platform standards.
Monitor platform health using CloudWatch, Prometheus, and Grafana.
Respond to alerts, participate in on-call rotations, and assist with incident remediation.
Contribute to root cause analysis (RCA) and post-incident reviews.
Help identify and resolve cost, performance, and capacity issues.
Maintain and improve operational runbooks and documentation.
Build scripts, automation, and operational tools using Python and/or Golang.
Contribute to Infrastructure as Code and GitOps repositories.
Assist in developing internal platform utilities and services.
Support integrations with the Developer Portal / Internal Developer Platform (IDP).
Implement and operate CI/CD pipelines with integrated security and quality checks across build, test, and deployment stages.
Configure and support SonarQube for static code analysis, quality metrics, and quality gate enforcement.
Support JFrog Artifactory and Xray for artifact management, vulnerability scanning, and license compliance.
Build and maintain Jenkins pipelines (declarative and scripted) with security scanning and promotion logic.
Use Groovy to extend pipelines and shared libraries following established patterns.
Help enforce policy-based deployments, ensuring non-compliant builds do not progress.
Support integration of CI/CD pipelines with GitOps workflows (Argo CD) and Kubernetes deployments.
Participate in shift-left security initiatives by providing developers with early, actionable feedback.
Qualifications
Required
Bachelor's degree in Engineering, Computer Science, or a related technical field.
8+ years of hands-on experience in platform, cloud, DevOps, or infrastructure engineering.
Practical, hands-on experience with AWS infrastructure.
Hands-on experience with Kubernetes and containerized workloads.
Demonstrated ability to walk through a Kubernetes environment end-to-end.
Basic scripting or programming experience (Python, Golang,