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Corporate Vice President - Google Cloud Platform Engineer - Enterprise Cloud & AI Platform

Job in Coos Bay, Coos County, Oregon, 97458, USA
Listing for: New York Life Insurance
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    AI Engineer, Cloud Computing, Data Engineer
Salary/Wage Range or Industry Benchmark: 211000 USD Yearly USD 211000.00 YEAR
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
What to Expect (Job Responsibilities)
  • 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
What is Required (Qualifications)
  • 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
How to Stand Out (Preferred Qualifications)
  • 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

We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.

We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer.

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