GCP Professional

2 weeks ago

Hyderabad Pune, India IDESLABS PRIVATE LIMITED Full time ₹ 15,00,000 - ₹ 25,00,000 per year

We are looking for a skilled DevOps Engineer with 4 to 9 years of experience in managing and maintaining large-scale cloud infrastructure on Google Cloud Platform (GCP). The ideal candidate will have a strong background in DevOps practices, including containerization, Kubernetes, and CI/CD pipelines. This position is based in Hyderabad.

Roles and Responsibility

  • Design, deploy, and manage scalable and secure infrastructure on GCP.
  • Implement best practices for GCP IAM, VPCs, Cloud Storage, Clickhouse, Superset Apache tools onboarding, and other GCP services.
  • Manage and optimize Google Kubernetes Engine (GKE) clusters for containerized applications.
  • Implement Kubernetes best practices, including pod scaling, resource allocation, and security policies.
  • Build and maintain CI/CD pipelines using tools like Cloud Build, Stratus, GitLab CI/CD, or ArgoCD.
  • Automate deployment workflows for containerized and serverless applications.
  • Ensure adherence to security best practices for GCP, including IAM policies, network security, and data encryption.
  • Conduct regular audits to ensure compliance with organizational and regulatory standards.
  • Work closely with development teams to containerize applications and ensure smooth deployment on GCP.
  • Provide support for troubleshooting and resolving infrastructure-related issues.
  • Monitor and optimize GCP resource usage to ensure cost efficiency and implement strategies to reduce cloud spend without compromising performance.

Job Requirements

  • Must hold a Google Cloud Professional DevOps Engineer certification or Google Cloud Professional Cloud Architect certification.
  • Strong hands-on experience with Google Cloud Platform (GCP) services, including GKE, Cloud Functions, Cloud Storage, BigQuery, and Cloud Pub/Sub.
  • Proficiency in DevOps tools like Terraform, Ansible, Stratus, GitLab CI/CD, or Cloud Build.
  • Experience with containerization tools like Docker.
  • In-depth knowledge of Kubernetes concepts such as pods, deployments, services, ingress, configuration maps, and secrets.
  • Familiarity with Kubernetes tools like kubectl, Helm, and Kustomize.
  • Strong scripting skills in Python, Bash, or Go.
  • Familiarity with YAML and JSON for configuration management.
  • Experience with monitoring tools like Prometheus, Grafana, or Google Cloud Operations Suite.
  • Understanding of cloud networking concepts, including VPCs, subnets, firewalls, and load balancers.
  • Strong problem-solving and troubleshooting skills.
  • Excellent communication and collaboration abilities.
  • Ability to work in an agile, fast-paced environment.

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