- Automate infrastructure provisioning and configuration management using Terraform to ensure consistency across development, staging, and production environments.

- Manage and orchestrate containerized workloads using Kubernetes and GKE to optimize resource utilization and application availability.

- Implement and manage MLOps workflows by integrating Vertex AI to streamline the deployment and monitoring of machine learning models.

- Design and optimize CI/CD pipelines to accelerate release cycles and improve the quality of software delivery.

- Collaborate with security and development teams to implement cloud-native security best practices and ensure compliance across all cloud resources.

Job Details :

- Relevant GCP experience required 5+ years.

- GCP Compute Engine, GKE, Cloud Run, IAM, VPC, Load Balancers, Cloud NAT, Cloud Router, Cloud DNS.

- Terraform HCL, modules, remote state, state locking, reusable templates, environment separation.

- CI/CD using Cloud Build, Jenkins, GitHub Actions, or GitLab CI.

- Containerisation and Kubernetes basics : deployments, services, ingress, config maps, secrets, autoscaling, troubleshooting.

- Monitoring and logging using Cloud Monitoring, Cloud Logging, Prometheus, Grafana, or equivalent.

- Linux administration and basic scripting.

- Scripting in Bash or Python.

- Good to have experience in Vertex AI.

Good-to-have skills :

- GKE Autopilot vs Standard decisioning.

- Anthos / GKE Enterprise exposure.

- Cloud Deploy, Artifact Registry.

- FinOps and cost optimisation.

- Policy as Code using OPA, Sentinel, or Terraform policy controls.