Lead / Senior Google Cloud Platform DevOps Engineer

About the role: Our client delivers secure, large-scale cloud and AI infrastructure for enterprise and banking clients, helping them modernize legacy systems and safely adopt AI/ML technologies. You''ll join a cloud engineering team responsible for designing and operating Google Cloud Platform infrastructure and AI-powered workloads for high-profile, security-conscious clients.

Responsibilities: Design, deploy, and maintain Google Cloud Platform infrastructure, including secure Landing Zones (VPC, IAM, VPC Service Controls, Cloud KMS) Lead deployment and operations of AI/ML infrastructure, including GPU-accelerated workloads and LLM inference platforms (NVIDIA NIM, Vertex AI) Build and maintain CI/CD pipelines and infrastructure-as-code (Terraform, Jenkins/GitLab) Implement cost optimization strategies across production and non-production environments Ensure compliance and security best practices for handling sensitive data in regulated industries Mentor engineers and act as technical point of contact for client engagements Requirements: 10+ years of experience in DevOps/Cloud Engineering, with a strong focus on Google Cloud Platform Proven experience with Kubernetes, Docker, and container orchestration at scale Strong scripting/automation skills (Python, Bash, Terraform) Experience with IAM, network security, and compliance frameworks in regulated industries (banking/finance preferred) Familiarity with AI/ML infrastructure and LLM deployment tooling is a strong plus Google Cloud Platform Professional certifications (Cloud Architect, Cloud Engineer, Network Engineer) a plus