GCP DevOps Engineer

Position

Location

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Employment Type -

Job Summary:

We are seeking a skilled GCP DevOps Engineer to join our team. The ideal candidate will have hands-on experience with Google Cloud Platform (GCP) services, CI/CD pipelines, automation, infrastructure as code (IaC), and monitoring tools. You will be responsible for deploying, managing, and optimizing cloud infrastructure, ensuring system reliability, scalability, and security.

Key Responsibilities:

• Design, implement, and maintain cloud infrastructure using GCP services (Compute Engine, Kubernetes Engine, Cloud Functions, Cloud Storage, BigQuery, etc.).
• Develop and maintain CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or Cloud Build.
• Automate infrastructure deployment using Terraform, Ansible, or Helm.
• Manage Kubernetes (GKE) clusters, including deployment, scaling, and monitoring.
• Implement logging, monitoring, and alerting solutions using Stackdriver (Cloud Operations), Prometheus, and Grafana.
• Ensure cloud security best practices, IAM policies, and compliance with industry standards.
• Optimize cloud costs and resource utilization.
• Troubleshoot infrastructure and deployment issues, ensuring high availability and performance.

Required Skills & Qualifications:

• 4 years of experience in DevOps, Cloud Engineering, or SRE roles.
• Strong knowledge of Google Cloud Platform (GCP) services.
• Experience with Kubernetes (GKE) and container orchestration.
• Proficiency in Terraform for infrastructure as code (IaC).
• Experience with CI/CD tools (Jenkins, GitHub Actions, Cloud Build, etc.).
• Scripting experience in Python, Bash, or Go.
• Familiarity with monitoring and logging tools (Stackdriver, Prometheus, ELK, Grafana).
• Strong understanding of networking, security, and IAM policies in GCP.
• Knowledge of Git, version control workflows, and branching strategies.

Good to Have:

• Certification: Google Professional DevOps Engineer or Google Associate Cloud Engineer.
• Experience with serverless computing (Cloud Functions, Cloud Run).
• Exposure to multi-cloud environments (AWS, Azure).
• Knowledge of database management (Cloud SQL, Firestore, BigQuery).