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Google Cloud DevOps Engineer (GCP DevOps Engineer)

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Job Description - Google Cloud DevOps Engineer (GCP DevOps Engineer)




Key Responsibilities:



  • Design, implement, and manage end-to-end application DevOps pipelines

  • Build and maintain CI/CD pipelines using Azure DevOps for automated deployments and releases

  • Manage Development, Staging, and Production environments with rollback and release strategies

  • Deploy, monitor, and scale applications on Google Cloud Platform (GCP)

  • Containerize applications using Docker and orchestrate workloads using Kubernetes (GKE preferred)

  • Implement Infrastructure as Code (IaC) using Terraform

  • Manage IAM roles, permissions, and cloud security best practices in GCP

  • Configure and manage API gateways, rate limiting, logging, and monitoring solutions

  • Deploy and manage AI agents and AI-powered applications in production environments

  • Support AI/ML pipelines including LLM configuration, model deployment, and inference workflows

  • Configure and manage Google AI Studio environments

  • Monitor infrastructure and application performance to ensure high availability and reliability

  • Troubleshoot deployment, infrastructure, and production issues proactively

  • Collaborate with development and AI/ML teams for seamless delivery and integration

  • Support distributed systems and cloud-native architecture initiatives







Required Skills & Qualifications:



  • 3+ years of hands-on experience in Google Cloud Platform (GCP) DevOps environments

  • Strong experience managing live production deployments and cloud infrastructure in GCP

  • Expertise in Azure DevOps and CI/CD pipeline implementation

  • Strong knowledge of Docker and Kubernetes (GKE preferred)

  • Hands-on experience with Terraform and Infrastructure as Code practices

  • Experience managing cloud networking, IAM, security policies, and access controls

  • Knowledge of monitoring, logging, and observability tools

  • Experience configuring API gateways, rate limiting, and cloud-native services

  • Hands-on exposure to AI agents, AI/ML pipelines, and model deployment workflows

  • Experience working with Google AI Studio and LLM configurations

  • Strong troubleshooting, analytical, and problem-solving skills

  • Understanding of distributed systems and high-availability architecture

  • Good communication and collaboration abilities







Preferred Skills:



  • Experience with AI/ML production environments and inference pipelines

  • Familiarity with cloud-native DevOps practices and automation

  • Exposure to scalable microservices architecture

  • Experience handling large-scale production workloads

  • Immediate joiners preferred



Original job Google Cloud DevOps Engineer (GCP DevOps Engineer) posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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