GCP Kubernetes Platform Engineer

Client: TCS | Engagement: Full-time | Work mode: ONSITE | Rate: 70-78 USD | Experience: N/A | Publisher job id: 10833787

Role Overview

This role involves designing, operating, and supporting Kubernetes platforms, specifically across bare-metal clusters and Google Kubernetes Engine (GKE). The engineer will be responsible for ensuring high availability, scalability, performance, and reliability of production systems, implementing GitOps-based deployment workflows, and managing cloud infrastructure on Google Cloud Platform (GCP). Key Responsibilities: Design, operate, and support Kubernetes platforms across bare-metal clusters and Google Kubernetes Engine (GKE) Ensure high availability, scalability, performance, and reliability of production systems Implement and manage GitOps-based deployment workflows using tools like Argo CD Build, maintain, and optimize CI/CD pipelines using tools such as GitHub Actions, Harness, CircleCI, or equivalent Deploy and manage applications using Helm, including canary and progressive delivery strategies Implement comprehensive observability using Prometheus, Grafana, Loki, and Tempo Proactively monitor systems, troubleshoot incidents, and perform root cause analysis (RCA) Partner with development teams to improve service reliability, scalability, and operational maturity Provision and manage cloud infrastructure on Google Cloud Platform (GCP) Automate infrastructure and platform operations using Infrastructure as Code (IaC) and scripting Drive continuous improvements in resilience, automation, and operational efficiency Required Skills: Strong hands-on experience with Kubernetes architecture and administration Experience managing both bare-metal Kubernetes clusters and Google Kubernetes Engine (GKE) Solid understanding of Google Cloud Platform (GCP) services and networking concepts Proven experience with GitOps practices and tools such as Argo CD Proficiency with CI/CD tools (GitHub Actions, Harness, CircleCI, or similar) Practical experience with Helm Practical experience with Canary / progressive deployments Strong expertise in observability and monitoring: Prometheus, Grafana, Loki, Tempo Experience with Terraform for infrastructure provisioning Infrastructure as Code (IaC) and automation Understanding of modern API technologies such as GraphQL Familiarity with API management platforms (Apigee Edge, Apigee X) Knowledge of CDN and edge services (e.g., Akamai) Qualifications: N/A Preferred Skills: Working knowledge of Java (Spring Boot) and/or Node.js frameworks Understanding of microservices architecture and service-to-service communication Experience with Ansible or similar configuration management tools Exposure to hybrid or multi-cloud environments Experience in performance tuning and cost optimization on GCP Understanding of Kubernetes and cloud security best practices SRE experience aligned with SLIs, SLOs, and error budgets Strong analytical and troubleshooting skills Ownership mindset with a focus on automation and reliability Ability to work effectively in a fast-paced, collaborative environment Clear communication skills with cross-functional stakeholders