Principal Cloud Infrastructure Engineer (Google Cloud Platform)

Remote in Woonsocket, RI, US • Posted 60+ days ago • Updated 5 hours ago
Full Time
On-site
USD $144,200.00 - 288,400.00 per year
Fitment

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Job Details

Skills

  • IaaS
  • Accountability
  • Health Care
  • Scratch
  • Leadership
  • Code Review
  • Organizational Structure
  • Scalability
  • Operational Excellence
  • Product Engineering
  • Team Leadership
  • Design Review
  • Mentorship
  • Security Operations
  • Management
  • Continuous Integration
  • Continuous Delivery
  • GitHub
  • Network Security
  • NAT
  • High Availability
  • Virtual Private Network
  • SIEM
  • Regulatory Compliance
  • Payment Card Industry
  • System On A Chip
  • Real-time
  • Auditing
  • Continuous Improvement
  • Roadmaps
  • Budget
  • Research
  • Collaboration
  • Billing
  • Project Governance
  • IT Management
  • Technical Direction
  • Computer Networking
  • Messaging
  • Cloud Storage
  • Data Flow
  • Authorization
  • Virtual Private Cloud
  • Oracle Policy Automation
  • Python
  • Bash
  • DevOps
  • Terraform
  • HIPAA
  • PCI DSS
  • FedRAMP
  • Cloud Computing
  • Vertex
  • Artificial Intelligence
  • Machine Learning Operations (ML Ops)
  • Google Cloud
  • Google Cloud Platform
  • Computer Science
  • Finance

Summary

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health , you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Google Cloud Platform Platform Technical Lead

Position Summary

We are looking for a Principal Engineer to lead our Cloud Engineering team and own the Google Cloud Platform for the enterprise. This is a foundational platform role - you are the Google Cloud Platform technical authority, setting architectural/engineering direction, establishing engineering standards, and ensuring the platform is secure, scalable, and built to last.

Your role will include driving designs of the platform, mentoring the engineers around you, and aligning quality and best practices. You bring deep Google Cloud Platform expertise, a platform-owner mindset, and the leadership presence to align engineers and stakeholders around a shared technical vision. This role demands a cloud-first thinker who ensures cloud solutions meet business needs efficiently while prioritizing Infrastructure as Code (IaC) to create repeatable, automated deployments. You need to have a proven track record of architecting cloud environments from scratch. You'll drive cloud transformation initiatives all CSP's focusing on the Google Cloud Platform platform while ensuring every design decision considers security, reliability, and scalability.

This is not a hands-off leadership role - you write code, review designs, and stay close to the work.

Major Responsibilities

1. Google Cloud Platform Platform Ownership

  • Own the enterprise Google Cloud Platform platform end-to-end: organization structure, resource hierarchy, networking architecture while collaborating with several teams to ensure the platform is stable and compliant.

  • Define and maintain the Google Cloud Platform landing zone - Shared VPC, Org Policies, , and project factory patterns - as the foundation all product teams build on.

  • Serve as the one of the final technical authorities on Google Cloud Platform engineering decisions, reviewing designs for scalability, security, and operational excellence before they reach production.

  • Build self-service platform capabilities that enable product engineering teams to move fast without compromising standards.

2. Technical Team Leadership

  • Lead the Google Cloud Platform cloud engineering team as the technical anchor - set direction, conduct design reviews, unblock engineers, and drive delivery on platform initiatives.

  • Establish and enforce engineering standards: IaC patterns, naming conventions, tagging strategy, branching models, and deployment practices.

  • Mentor engineers at all levels, building depth on the team and raising the bar on what "good" looks like in cloud engineering.

  • Partner with architecture, security, operations, and business stakeholders to translate enterprise requirements into platform capabilities.

3. Infrastructure as Code & Automation

  • Drive Infrastructure as code as a core principle - reusable modules, pipeline integration, state management, and policy guardrails.

  • Build and maintain CI/CD pipelines using Cloud Build, GitHub Actions, and Artifact Registry for both platform infrastructure and application teams.

  • Write production-quality automation to extend platform functionality, integrate Google Cloud Platform APIs, and eliminate operational toil.

  • Implement policy-as-code using OPA, Config Connector, and Google Cloud Platform Org Policies to enforce governance at scale without manual gatekeeping.

4. Networking, Security & Compliance

  • Architect/Engineer Google Cloud Platform networking: Shared VPC, VPC Service Controls, Private Service Connect, NCC, and Cloud NAT. , and hybrid connectivity via Cloud Interconnect and HA VPN.

  • Own the enterprise security posture on Google Cloud Platform - Workload Identity Federation, Binary Authorization, Secret Manager, IAM least-privilege design, and SIEM/CSPM integration (Security Command Center, Prisma Cloud, or Wiz).

  • Drive continuous automated compliance across applicable regulatory frameworks (HIPAA, PCI, SOC 2) so controls are enforced in real time, not discovered at audit.

  • Integrate observability - Cloud Operations Suite, Datadog, and SLO/SLI frameworks - as a first-class platform capability across all workloads.

5. Platform Strategy & Continuous Improvement

  • Own the Google Cloud Platform platform roadmap, evaluating new Google Cloud Platform services and capabilities and making deliberate decisions about what the enterprise adopts and when.

  • Incorporate FinOps practices across the platform: committed use discounts, rightsizing, budget alerting, and cost allocation as engineering disciplines, not afterthoughts.

  • Research and pilot emerging Google Cloud Platform capabilities like - Vertex AI, GKE Enterprise, Duet AI for DevOps - evaluating their fit for enterprise adoption.

  • Foster a culture that drive collaboration across teams and towers to shape the future of cutting-edge cloud technology adoption

Required Qualifications

  • 10+ years in cloud and infrastructure engineering with 5+ years of deep, hands-on Google Cloud Platform experience at enterprise scale.

  • Proven ownership of a Google Cloud Platform organization - Resource Hierarchy, Billing, Org Policy, IAM, and multi-project governance in production.

  • Demonstrated technical leadership: you have led a platform team or major enterprise cloud initiative, set technical direction, and grown engineers around you.

Deep Google Cloud Platform expertise required across:

Compute & Containers: GKE (Autopilot + Standard), Cloud Run, Compute Engine, MIGs

Networking: Shared VPC, VPC Service Controls, Private Service Connect, Cloud Armor, Interconnect

Data & Messaging: BigQuery, Pub/Sub, Cloud Storage, Dataflow, Cloud Composer

Security: IAM, Workload Identity, SCC, Binary Authorization, Secret Manager, VPC-SC

IaC & Automation: Terraform (modules, remote state, OPA), Cloud Build, Config Connector

Observability: Cloud Operations Suite, Datadog, SLO/SLI design, PagerDuty integration

Languages: Python and Go (required); Bash proficiency expected

Preferred Qualifications

  • Google Cloud Professional Cloud Architect certification (strongly preferred)

  • Google Cloud Professional DevOps Engineer certification

  • HashiCorp Terraform Associate or Professional certification

  • Experience in regulated industries applying HIPAA, PCI-DSS, or FedRAMP controls on Google Cloud Platform

  • Familiarity with Anthos, GKE Enterprise, and multi-cloud connectivity patterns

  • Experience with Vertex AI platform and MLOps patterns on Google Cloud Platform

Education

Bachelor's degree in Computer Science, Engineering, or a related field - or equivalent demonstrated experience.

Pay Range

The typical pay range for this role is:

$144,200.00 - $288,400.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 06/12/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 80180635
  • Position Id: 649fabc2fe2adfd672f4117af8c4a348
  • Posted 30+ days ago
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