Corporate Vice President - GCP Platform Engineer

Other Jobs To Apply

Location Designation: Hybrid - 3 days per quarter

The GCP Platform Engineer at New York Life is responsible for designing, building, and operating secure, compliant, and scalable cloud and AI-enabled platforms on Google Cloud Platform (GCP). This role enables application, data, and analytics teams by providing standardized cloud infrastructure, Kubernetes platforms, and approved Google AI services, while meeting financial services regulatory, security, and resiliency requirements.

The engineer partners with the Cloud, Data & AI teams, Information Security, and Risk to ensure AI workloads are deployed with appropriate governance, data controls, and observability.

What You’ll Do:

  • Enterprise Cloud & AI Platform
  • Design and maintain enterprise GCP landing zones using Google Cloud Deployment Manager, Terraform, and Cloud Foundation Toolkit aligned with NYL governance standards. Build and operate shared cloud services supporting AI and non-AI workloads on GCP components like Cloud Storage, Cloud Functions, Cloud Run, Cloud Pub/Sub, and Cloud Spanner. Implement Infrastructure as Code (Terraform) for platform, networking, and AI service enablement
  • Support hybrid connectivity and secure data access patterns for AI use cases using Cloud Interconnect and Cloud VPN.
  • Kubernetes, Containers & AI Workloads
  • Engineer and operate GKE (Google Kubernetes Engine) clusters for application and AI inference workloads
  • Enable containerized AI services and microservices using approved base images from Google Container Registry (GCR) or JFrog Artifact Registry.
  • Support GPU-enabled workloads where approved
  • Implement standardized deployment patterns for AI APIs and services using Helm for Kubernetes deployment management
  • Google AI / GenAI Enablement
  • Enable and operate approved Google AI services, including:
  • Vertex AI (model hosting, endpoints, pipelines – platform enablement only, agentic AI deployments and communication protocols in Vertex AI Agent Builder and Agent Engine)
  • Gemini APIs and other managed GenAI services (as approved by NYL governance)
  • BigQuery ML and AI-integrated analytics platforms
  • Implement secure access controls, networking, and monitoring for AI services using Cloud Identity & Access Management (IAM), VPC Service Controls, and Cloud Monitoring.
  • Integrate AI platforms with CI/CD pipelines and enterprise SDLC controls using tools like Harness CICD
  • Partner with Data & AI teams to operationalize AI workloads safely and compliantly within Google Cloud environments.
  • DevOps, Automation & MLOps Foundations
  • Build secure CI/CD pipelines for application and AI workloads using Harness CI/CD
  • Support MLOps foundations such as:
  • Model deployment automation via Kubeflow, TensorFlow Extended (TFX), Vertex AI Pipelines, and Vertex AI Model Registry.
  • Environment promotion and rollback using Terraform
  • Monitoring and logging for AI endpoints using New Relic for synthetic monitoring, and Cloud Logging and Cloud Monitoring for deeper observability and troubleshooting.
  • Enforce guardrails, approvals, and policy-as-code for AI usage with Cloud Security Command Center, Google Cloud Policy Analyzer, and Open Policy Agent (OPA).
  • Security, Risk & Compliance
  • Implement IAM, workload identity, and least-privilege models for AI services using Cloud Identity & Access Management (IAM) and Workload Identity Federation.
  • Enforce data residency, encryption, and access policies using Cloud Key Management Service (KMS) and Cloud Data Loss Prevention (DLP).
  • Integrate AI platform telemetry with enterprise logging, monitoring, and SIEM using Cloud Logging, Cloud Monitoring, and New Relic.
  • Support audits, risk reviews, and regulatory requirements (SOC2, SOX, data privacy) by leveraging Google Cloud Security Command Center, Cloud Audit Logs, and Cloud Data Loss Prevention API.
  • Reliability, Observability & Cost Management
  • Design platforms for high availability and resilience, including AI services using GKE, Cloud Spanner, Cloud SQL, and Google Cloud Load Balancing.
  • Monitor AI workloads for performance, reliability, and cost usage using New Relic for synthetic monitoring, Cloud Monitoring, and Cloud Trace for performance insight and Harness CCM for cost
  • Optimize cloud and AI service costs using budgets and usage controls using Google Cloud Billing, Budgets, Alerts and Harness CCM
  • Participate in incident response and root-cause analysis logged in service now and manage incident notifications through PagerDuty.
  • Collaboration & Governance
  • Partner with Data & AI, InfoSec, Security, Risk, and Application teams to ensure secure, compliant, and efficient AI platform usage.
Back to blog

Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...