Job
Description
Key Responsibilities: 1. Cloud Infrastructure Management: o Design, deploy, and manage scalable and secure infrastructure on Google Cloud Platform (GCP). o Implement best practices for GCP IAM, VPCs, Cloud Storage, Clickhouse, Superset Apache tools onboarding and other GCP services. 2. Kubernetes and Containerization: o Manage and optimize Google Kubernetes Engine (GKE) clusters for containerized applications. o Implement Kubernetes best practices, including pod scaling, resource allocation, and security policies. 3. CI/CD Pipelines: o Build and maintain CI/CD pipelines using tools like Cloud Build, Stratus, GitLab CI/CD, or ArgoCD. o Automate deployment workflows for containerized and serverless applications. 4. Security and Compliance: o Ensure adherence to security best practices for GCP, including IAM policies, network security, and data encryption. o Conduct regular audits to ensure compliance with organizational and regulatory standards. 5. Collaboration and Support: o Work closely with development teams to containerize applications and ensure smooth deployment on GCP. o Provide support for troubleshooting and resolving infrastructure-related issues. 6. Cost Optimization: o Monitor and optimize GCP resource usage to ensure cost efficiency. o Implement strategies to reduce cloud spend without compromising performance. ________________________________________ Required Skills and Qualifications: 1. Certifications: o Must hold a Google Cloud Professional DevOps Engineer certification or Google Cloud Professional Cloud Architect certification. 2. Cloud Expertise: o Strong hands-on experience with Google Cloud Platform (GCP) services, including GKE, Cloud Functions, Cloud Storage, BigQuery, and Cloud Pub/Sub. 3. DevOps Tools: o Proficiency in DevOps tools like Terraform, Ansible, Stratus, GitLab CI/CD, or Cloud Build. o Experience with containerization tools like Docker. 4. Kubernetes Expertise: o In-depth knowledge of Kubernetes concepts such as pods, deployments, services, ingress, config maps, and secrets. o Familiarity with Kubernetes tools like kubectl, Helm, and Kustomize. 5. Programming and Scripting: o Strong scripting skills in Python, Bash, or Go. o Familiarity with YAML and JSON for configuration management. 6. Monitoring and Logging: o Experience with monitoring tools like Prometheus, Grafana, or Google Cloud Operations Suite. 7. Networking: o Understanding of cloud networking concepts, including VPCs, subnets, firewalls, and load balancers. 8. Soft Skills: o Strong problem-solving and troubleshooting skills. o Excellent communication and collaboration abilities. o Ability to work in an agile, fast-paced environment.
