- Deploy, manage, and monitor applications and services on GCP.

- Provide infrastructure and tooling support to data pipeline and warehouse teams.

- Write automation and support scripts in Python or Go.

- Troubleshoot complex cloud infrastructure and application issues independently.

- Collaborate with offshore and cross-functional teams, ensuring high availability and performance.

- Provide overnight/on-call support for production systems as required.

- Use AI tools and automation to enhance workflows and resolve issues efficiently.

Required Skills & Experience :

- Hands-on experience with Google Cloud Platform (GCP) - deployment, monitoring, troubleshooting.

- Proficiency in Python or Go for scripting and automation.

- Strong understanding of cloud networking, compute, and storage services.

- Solid troubleshooting and incident-resolution skills (self-sufficient problem-solving ability).

- Experience supporting data warehouse or enterprise data pipeline environments.

- Exposure to AI tools for operational efficiency and problem-solving.

- Willingness to provide overnight/on-call support when needed.

Preferred Qualifications :

- Experience with AWS (multi-cloud exposure).

- Familiarity with Terraform, Jenkins, or CI/CD pipelines.

- Understanding of ETL tools and BigQuery in data-centric environments.

- Cloud certification (e.g., Google Professional Cloud Engineer) is a plus.