GCP, Devops Professional

10 hours ago

Pune, India IDESLABS Full time

Job Description Role Overview The role involves designing, deploying, and managing scalable cloud infrastructure on Google Cloud Platform (GCP), optimizing Kubernetes clusters, implementing CI/CD pipelines, ensuring security and compliance, and collaborating with development teams to enable efficient cloud operations. Key Responsibilities Cloud Infrastructure Management - Design, deploy, and manage scalable and secure infrastructure on GCP. - Implement best practices for IAM, VPCs, Cloud Storage, Clickhouse, Superset, Apache tools onboarding, and other GCP services. Kubernetes and Containerization - Manage and optimize GKE clusters for containerized applications. - Implement Kubernetes best practices, including pod scaling, resource allocation, and security policies. CI/CD Pipelines - Build and maintain CI/CD pipelines using Cloud Build, Stratus, GitLab CI/CD, or ArgoCD. - Automate deployment workflows for containerized and serverless applications. Security and Compliance - Ensure adherence to GCP security best practices, including IAM policies, network security, and data encryption. - Conduct audits to ensure compliance with organizational and regulatory standards. Collaboration and Support - Work closely with development teams to containerize applications and enable smooth deployment on GCP. - Provide support for troubleshooting and resolving infrastructure-related issues. Cost Optimization - Monitor and optimize GCP resource usage for cost efficiency. - Implement strategies to reduce cloud spend without compromising performance. Required Skills and Qualifications Certifications - Google Cloud Professional DevOps Engineer or Google Cloud Professional Cloud Architect certification. Cloud Expertise - Hands-on experience with GCP services, including GKE, Cloud Functions, Cloud Storage, BigQuery, and Cloud Pub/Sub. DevOps Tools - Proficiency in Terraform, Ansible, Stratus, GitLab CI/CD, Cloud Build. - Experience with containerization tools like Docker. Kubernetes Expertise - Strong knowledge of pods, deployments, services, ingress, config maps, and secrets. - Familiarity with kubectl, Helm, and Kustomize. Programming and Scripting - Scripting skills in Python, Bash, or Go. - Familiarity with YAML and JSON for configuration management. Monitoring and Logging - Experience with Prometheus, Grafana, or Google Cloud Operations Suite. Networking - Understanding of cloud networking concepts including VPCs, subnets, firewalls, and load balancers.

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