Description :

Role : GCP DevOps Engineer (Python + Data Processing)

Job Responsibilities :

- Design and manage CI/CD pipelines.

- Automate infrastructure using Terraform and Infrastructure as Code (IaC) principles.

- Work with GCP services including Compute Engine, Cloud Storage, Cloud Functions, BigQuery, and Pub/Sub.

- Build and support Python-based automation and data processing workflows.

- Work on SQL queries, BigQuery datasets, and cloud-based data processing pipelines.

- Manage Kubernetes-based deployments and containerized environments.

- Manage cloud networking including VPCs, firewalls, load balancers, and DNS.

- Implement cloud security best practices including IAM and secrets management.

- Troubleshoot, optimize, and monitor cloud infrastructure and platform services.

- Collaborate with development, data engineering, and infrastructure teams for scalable cloud solutions.

Requirements :

- Strong experience in GCP and DevOps tools.

- Strong hands-on expertise in Python and Kubernetes.

- Experience with SQL and cloud-based data processing environments.

- Proficiency in Terraform, CI/CD tools, and Git.

- Knowledge of networking and cloud security.

- Strong problem-solving and troubleshooting skills