Senior DevOps Engineer / Cloud Platform Engineer in Noida, India

Job Description : We are looking for a Senior DevOps Engineer - GCP & GKE with 6 - 8 years of overall experience, including at least 4 years of hands-on experience with Google Cloud Platform (GCP) and strong practical expertise in Google Kubernetes Engine (GKE).The ideal candidate should have experience building and operating cloud-native applications, Kubernetes platforms, CI/CD pipelines, and Infrastructure as Code on Google Cloud.A relevant Google Cloud (GCP) certification is https://jobeax.com/link/gU1FGJO59sXEk7bf Responsibilities : - Design, deploy, and manage secure, scalable, and highly available infrastructure on Google Cloud Platform (GCP).- Build, manage, upgrade, and troubleshoot Google Kubernetes Engine (GKE) clusters, including networking, node pools, autoscaling, upgrades, security, and performance optimization.- Deploy and manage containerized applications on Cloud Run, including revisions, traffic splitting, autoscaling, and custom domain configurations.- Build and maintain CI/CD pipelines using Google Cloud Build, GitHub Actions, GitLab CI/CD, Jenkins, or similar tools.- Automate cloud infrastructure using Terraform, reusable modules, and scripting with Shell or Python.- Manage containerized workloads using Docker, Kubernetes, and Helm.- Configure and manage Artifact Registry for container image storage and lifecycle management.- Implement GitOps deployment workflows using Argo CD (preferred).- Configure and manage GCP networking, including VPC, Shared VPC, Cloud Load Balancing, Cloud NAT, Cloud DNS, firewall rules, and private networking.- Implement cloud security best practices using IAM, Workload Identity, Service Accounts, Secret Manager, encryption, and least-privilege access.- Implement monitoring, logging, and alerting using Google Cloud Monitoring, Cloud Logging, Managed Prometheus, Grafana, and alerting policies.- Support application reliability through high availability, disaster recovery, backup strategies, autoscaling, and performance tuning.- Optimize cloud infrastructure for cost efficiency using rightsizing, autoscaling, and GCP cost optimization best practices.- Collaborate with development, QA, infrastructure, and client teams to deliver reliable cloud-native solutions.- Participate in production incident management, troubleshooting, root cause analysis (RCA), and continuous improvement https://jobeax.com/link/GTNZKF2kxpVUFhTn Skills & Qualifications : Mandatory : - 6 - 8 years of experience in DevOps, Cloud Infrastructure, or Platform Engineering.- Minimum 4 years of hands-on experience with Google Cloud Platform (GCP).- Strong hands-on experience with Google Kubernetes Engine (GKE) and Kubernetes.- Relevant Google Cloud Certification (Professional Cloud DevOps Engineer, Professional Cloud Architect, or Professional Cloud Engineer) is mandatory.- Strong experience with Terraform for Infrastructure as Code (IaC).- Experience with Docker, Helm, Git, Linux, and Shell/Python scripting.- Strong understanding of CI/CD automation using Cloud Build, GitHub Actions, GitLab CI/CD, or Jenkins.- Experience deploying workloads on Cloud Run.- Strong understanding of GCP networking, including VPC, Load Balancing, Cloud NAT, Cloud DNS, firewall rules, and private networking.- Experience with Artifact Registry, Secret Manager, IAM, Service Accounts, and Workload Identity.- Experience implementing monitoring and observability using Google Cloud Monitoring, Cloud Logging, Managed Prometheus, and Grafana.- Strong understanding of Kubernetes networking, ingress controllers, autoscaling, rolling deployments, and cluster upgrades.- Experience with cloud security, Infrastructure as Code best practices, and deployment automation.- Good troubleshooting, communication, and problem-solving https://jobeax.com/link/ZitjVqvb84V4AOyQ to Have : - Experience with Argo CD and GitOps workflows.- Experience with Pub/Sub, Cloud Scheduler, Cloud Functions, Eventarc, or Cloud Tasks.- Experience with Istio or service mesh technologies.- Experience with Config Connector, OPA/Gatekeeper, or Kubernetes policy management.- Experience working in multi-project or enterprise-scale GCP environments.- Familiarity with FinOps and cloud cost optimization practices. (ref:hirist.tech)