Opstree Solutions - Senior GCP DevOps Engineer - Python/Kubernetes

Experience: 510 Years Location: Bengaluru Work Mode: On-site Role Overview: We are looking for a Senior GCP DevOps Engineer with strong hands-on experience in GCP, Kubernetes/GKE, Terraform, CI/CD, networking, and observability. The candidate should have experience managing production-grade cloud infrastructure and exposure to AI/ML workloads, including GPU-enabled infrastructure. Key Responsibilities: - Build, manage, and optimize production-grade infrastructure on GCP. - Manage Kubernetes/GKE clusters, including deployments, autoscaling, resource management, and production troubleshooting. - Implement Infrastructure as Code using Terraform. - Design and maintain CI/CD pipelines using Jenkins, GitLab CI, GitHub Actions, Cloud Build, or ArgoCD. - Implement monitoring and observability using Cloud Monitoring, Cloud Logging, Prometheus, and Grafana. - Troubleshoot production issues related to Kubernetes, networking, resource utilization, and application performance. - Design and manage cloud networking, including VPCs, subnets, routing, firewall rules, DNS, and load balancing. - Support AI/ML workloads, including GPU-enabled infrastructure and model-serving environments. - Work closely with ML and backend teams to build scalable and reliable infrastructure. - Drive cloud cost optimization and infrastructure reliability. Required Skills: - Strong hands-on experience with GCP and GKE. - Strong Kubernetes production experience. - Good hands-on experience with cloud networking and troubleshooting. - Strong understanding of VPC, subnets, routing, firewall rules, DNS, and network security. - Strong experience with load balancers, traffic routing, and high-availability configurations. - Strong Terraform/IaC experience. - Experience with CI/CD and GitOps. - Experience with Prometheus, Grafana, Cloud Monitoring, and Cloud Logging. - Experience with GCP IAM, autoscaling, and infrastructure optimization. - Experience supporting AI/ML workloads or GPU infrastructure is preferred. - Exposure to AWS services such as EKS, EC2, IAM, and VPC. - Strong troubleshooting and problem-solving skills. Preferred Skills: - Experience with GPU node management and ML workload scheduling. - Exposure to Triton, TorchServe, or vLLM. - Experience with cloud cost optimization. - Strong scripting skills in Python or Bash. - Experience working closely with ML and backend engineering teams.