Principal Cloud Automation Engineer

About the Role :

We are seeking a highly experienced and hands-on DevOps Subject Matter Expert (SME) with deep specialization in Google Cloud Platform (GCP) and a proven track record in designing and implementing CI / CD pipelines, cloud-native architectures, MLOps frameworks, and DevSecOps practices . The ideal candidate will bring a strong foundation in cloud infrastructure, container orchestration, automation, and secure software delivery , playing a strategic and technical leadership role across projects.

Key Responsibilities :

• Design, implement, and optimize CI / CD pipelines using tools like Cloud Build, GitHub Actions, Jenkins, ArgoCD, Spinnaker , etc.
• Define and maintain cloud deployment architectures on GCP, ensuring scalability, availability, and security.
• Lead MLOps practices by integrating model development, testing, deployment, and monitoring using Vertex AI, Kubeflow, MLflow, etc.
• Implement DevSecOps best practices, including IaC security scanning, secrets management, container image scanning, and policy enforcement.
• Architect and manage DataOps pipelines for data ingestion, transformation, and validation across environments.
• Drive containerization efforts using Docker , Kubernetes (GKE), Helm, and service mesh technologies (Istio, Linkerd).
• Implement infrastructure as code (IaC) using Terraform , Deployment Manager , or Pulumi .
• Collaborate with development, data science, and QA teams to ensure seamless integration of DevOps processes throughout the SDLC.
• Monitor system performance, cost optimization, and operational SLAs using GCP-native tools (Cloud Monitoring, Cloud Logging) and third-party observability tools (Datadog, Prometheus, Grafana).
• Guide the adoption of GitOps, automated testing, release management, and rollback strategies in fast-paced cloud-native environments.

Required Qualifications :

Preferred Qualifications :