Title: Lead / Senior Google Cloud Platform DevOps EngineerLocation: NY/NJ/FL/PA (Onsite) 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
