Key Responsibilities

• Design and manage scalable data solutions using BigQuery and Cloud Storage.
• Build and maintain ML workflows using Kubeflow.
• Implement CI/CD pipelines using Cloud Build and Terraform.
• Deploy and manage containerized applications using Google Cloud Run.
• Apply SRE practices to monitor and improve system reliability and performance.
• Develop infrastructure as code using Terraform and Ansible.
• Set up and maintain observability stacks (e.g., ELK, Prometheus, Grafana).
• Automate deployment and provisioning using Docker, Kubernetes, and OpenShift.
• Collaborate with cross-functional teams to ensure secure, efficient, and resilient cloud operations.

Key Capabilities/Experience

• 3+ years of hands-on experience with Google Cloud Platform services.
• Strong expertise in BigQuery, Cloud Storage, and Cloud Run.
• Experience building ML pipelines with Kubeflow.
• Proficiency in Terraform for infrastructure automation.
• Experience with Cloud Build and CI/CD pipeline design.
• Solid understanding of SRE concepts, including SLIs/SLOs, incident response, and postmortems.
• Familiarity with monitoring and observability tools (ELK stack, Prometheus, Grafana).
• Experience with Docker, Kubernetes, and OpenShift in production environments.
• Knowledge of infrastructure architecture, cloud security, and best practices.

Other Qualifications

•   Certification in Google Cloud.

•   Experience with Ansible for configuration management.

•   Exposure to machine learning workflows and model deployment in cloud environments.

•   Strong scripting skills (e.g., Python, Bash).