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Senior Cloud & Kubernetes Platform Engineer -

HTC Global Services (India) Private Limited
Bangalore20-25 LPA Posted 9 Mar 2026
FULL TIME
Kubernetes
Terraform
Amazon Aws

Job Description

About the Role:

We are seeking a Senior Cloud & Kubernetes Platform Engineer with 8 years to 12 years of experience in the Engineering Enablement (EEng) team within PlayStation Network Services focuses on developing tools and technology frameworks to support engineering teams across the organization. Core areas of work include Kubernetes, Docker, AWS, Python/GoLang, Shell scripting, Jenkins, GitHub Actions, Terraform, Observability with Datadog, Splunk, Prometheus, Grafana & Supporting high-availability systems and environments

Requirements:

  • Strong expertise in AWS (VPC, EC2, IAM, ALB/NLB, ASG, Route53, RDS, Lambda, EKS, S3, EBS).
  • Deep understanding of networking fundamentals (CIDR, routing, DNS, security groups, load balancers).
  • Hands-on experience with Terraform (modules, workspaces, state management, CI automation).
  • Strong experience with Docker (multi-stage builds, image optimization, security, multi-arch builds).
  • Advanced knowledge of Kubernetes internals, including control-plane components, API lifecycle, CRDs, operators, and etcd fundamentals.
  • Hands-on development experience building Kubernetes controllers/operators using controller-runtime patterns.
  • Strong programming skills in Python or Golang (at least one required) for platform tooling, automation, and controller development.
  • Experience managing production Kubernetes upgrades and EKS add-ons.
  • Strong Linux system administration and troubleshooting skills.
  • Proven experience handling production incidents in large-scale, distributed systems.

Preferred / Good to Have:

  • AWS Solution Architect certification.
  • CKA, CKAD,CKS certification.
  • Experience with GitOps tools (ArgoCD / FluxCD).
  • Exposure to GCP.
  • Experience with GitHub Actions.
  • Experience with Istio / Service Mesh and Envoy.
  • Experience with observability platforms (Prometheus, Grafana, ELK, Datadog, CloudWatch).

 

 

 

 

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