Google Cloud Platform DevOps Engineer With Machine Learning

DevOps Automation Engineer Google Cloud Platform & ML Workloads
Experienced DevOps Automation Engineer with a strong background in Google Cloud Platform infrastructure, ML workload orchestration, and high-performance computing (HPC). Skilled in building scalable, automated environments that support dynamic, high-demand workloads across diverse customer blueprints. Proven ability to optimize infrastructure usage, automate test and deployment pipelines, and ensure observability and reliability across cloud-native systems.
Core Competencies:

• Infrastructure-as-Code (IaC): Terraform, Deployment Manager
• CI/CD: Cloud Build, Jenkins, GitOps practices
• Orchestration: Google Cloud Platform ASQ Tool, DWS (Dynamic Workload Scheduler)
• Monitoring & Logging: Cloud Monitoring, Logging, Custom Dashboards
• Containerization: GKE, Docker, Kubernetes-native automation
• ML & HPC Workloads: NCCL, HyperCompute, Slurm Cluster Ops
• Automation: Concurrent testbench deployments, blueprint-based configuration
• Observability: Telemetry integration, alerting, event correlation
• Release & Image Management: VM image rollout and validation workflows
• Scripting: Python, Bash, YAML for automation pipelines
• Load Balancing & Reallocation: Optimization on A* VMs for ML workloads

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