{"schemaVersion":"jobsearcher.job.v1","id":"c577a49a9c95b0989b139bc3","url":"https://jobsearcher.com/jobs/c577a49a9c95b0989b139bc3","canonicalUrl":"https://jobsearcher.com/jobs/c577a49a9c95b0989b139bc3","title":"Lead / Senior Google Cloud Platform DevOps Engineer","description":"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","company":"Tek Analytics","rawCompany":"tek analytics","city":"New York","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-08-22T10:54:55.683Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead / Senior Google Cloud Platform DevOps Engineer","description":"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","datePosted":"2026-08-22T10:54:55.683Z","dateModified":"2026-08-22T10:54:55.683Z","hiringOrganization":{"@type":"Organization","name":"Tek Analytics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c577a49a9c95b0989b139bc3"},"url":"https://jobsearcher.com/jobs/c577a49a9c95b0989b139bc3"}}