Key Responsibilities:

• Design, deploy, and manage Kubernetes clusters using Google Kubernetes Engine (GKE).
• Develop and maintain Infrastructure as Code (IaC) using Terraform.
• Optimize GKE workloads for performance, reliability, and cost efficiency.
• Implement multi-region and multi-environment cluster strategies for high availability and disaster recovery (DR).
• Architect and implement containerization strategies using Docker, Buildpacks, and Artifact Registry.
• Create and manage automated CI/CD pipelines with Cloud Build, Jenkins, or GitHub Actions for containerized applications.
• Ensure seamless integration between DevOps workflows and AI/ML pipelines.
• Enforce security best practices, including vulnerability scanning and policy enforcement (e.g., using GCP Security Command Center).
• Implement observability solutions using Cloud Logging and Cloud Monitoring.
• Develop automated scaling, self-healing, and policy-based governance for clusters.
• Integrate IAM, VPC, Cloud Armor, and Workload Identity for secure access management.
• Ensure compliance with organizational DevSecOps and data governance standards.
• Experience implementing monitoring, logging, and alerting systems.
• Knowledge of SRE principles and cloud cost optimization best practices.
• Programming/scripting experience (Python, Go, or Bash).

Preferred Qualifications:

• GCP Professional or GKE certification.
• Experience with Terraform, Ansible, or similar IAC tools.
• Familiarity with container security and compliance frameworks.
• Exposure to enterprise-grade SRE/Observability practices.
• CP Professional Cloud Architect / GKE Certified

Experience Level: 2+ Years