Agile Programming Methodologies, Amazon Elastic Compute Cloud (EC2), Amazon Web Services (AWS), Configuration Management, Continuous Deployment/Delivery, Continuous Integration, Cost Control, DevOps, GitHub, Java, Jenkins, Machine Tool, Python Programming/Scripting Language, Single Sign-On (SSO), Splunk
What are the top 3 skills required for this role?
1. k8s admin
2. AWS fundamentals
3. Splunk / datadog
Job Description/ Responsibilities:
• 4+ years managing Kubernetes clusters in production (EKS preferred)
• Hands-on experience with GitOps tooling — Flux CD and/or Argo CD
• Proficiency writing Terraform modules and Helm charts
• Experience building CI/CD pipelines (Jenkins, GitHub Actions, or equivalent)
• Strong AWS fundamentals — VPC, IAM, EC2, MSK, EKS node groups
• Working knowledge of observability platforms (Datadog, Dynatrace, or similar)
• Comfort operating in Agile/sprint-based engineering teams
Nice to Have:
• Experience with Linkerd or other service mesh technologies
• Familiarity with Jsonnet or CUE for configuration management
• Hands-on FinOps or cluster cost optimisation experience (Kubecost, ScaleOps)
• Experience migrating ingress controllers at scale
• Amazon MSK administration and Kafka operations knowledge
• Okta or SSO/IdP integration experience
• Blue-green or canary deployment patterns for Kubernetes upgrades
• Familiarity with application architecture (Java and or Python)