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Corporate Vice President - Google Cloud Platform Engineer - Enterprise Cloud & AI Platform
Job in
Coos Bay, Coos County, Oregon, 97458, USA
Listed on 2026-02-28
Listing for:
New York Life Insurance
Full Time
position Listed on 2026-02-28
Job specializations:
-
IT/Tech
AI Engineer, Cloud Computing, Data Engineer
Job Description & How to Apply Below
Employer Industry: Financial Services
Why consider this job opportunity- Salary up to $211,000
- Discretionary bonus eligibility
- Opportunities for career advancement within a Fortune 100 mutual company
- Comprehensive benefits package including leave programs, adoption assistance, and student loan repayment programs
- Collaborative and inclusive work environment that values diverse perspectives
- Chance to contribute to meaningful work in a technology‑driven and AI‑enabled organization
- Design and maintain enterprise GCP landing zones and shared cloud services for AI and non‑AI workloads
- Engineer and operate GKE (Google Kubernetes Engine) clusters for application and AI inference workloads
- Enable and operate approved Google AI services while ensuring compliance with governance and security standards
- Build secure CI/CD pipelines for application and AI workloads and support MLOps foundations
- Collaborate with various teams to ensure secure and compliant AI platform usage
- 5+ years of experience in cloud, platform, or Dev Ops engineering
- Strong hands‑on experience with Google Cloud Platform services such as GKE, Big Query, and Vertex AI
- Expertise in Terraform and Infrastructure as Code
- Experience operating Kubernetes/GKE in enterprise environments
- Strong understanding of cloud security, IAM, and networking
- Experience enabling or operating Google AI services, such as Vertex AI and Big Query ML
- Familiarity with MLOps concepts using Kubeflow and Tensor Flow Extended
- Understanding of Responsible AI and data governance
- GCP certifications such as Google Cloud Certified – Professional Cloud Architect
- Experience supporting AI inference workloads in GKE or Cloud Run
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