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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Cloud Infrastructure Engineer (GCP) - **Company:** CVS Health - **Location:** United States - **Experience:** Expert - **Salary:** $144,200.0 - $288,400.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Bash Shell, BigQuery, Cloud Computing, Cloud Engineering, Cloud Storage, DevOps, Data Flow Control, Github, Identity and Access Management, Virtual Private Networks (VPN), Python (Programming Language), PCI Data Security Standards, Cloud Services, Security Information and Event Management, Datadog, Network Switches, Google Cloud, Multi-Cloud, Infrastructure as Code (IaC), Build Server, Amazon Virtual Private Cloud (VPC), Information Technology, Deployment Automation, Enterprise Integration, Terraform, Prisma Cloud Platform, Pagerduty - **Published:** May 14, 2026 - **Apply:** https://www.juju.com/job/00000000fzdovi ## About the Role + 10+ years in cloud and infrastructure engineering with 5+ years of deep, hands-on GCP experience at enterprise scale. + Proven ownership of a GCP 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 GCP** **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 + HashiCorpTerraform Associate or Professional certification + Experience in regulated industries applying HIPAA, PCI-DSS, or FedRAMP controls on GCP + Familiarity with Anthos, GKE Enterprise, and multi-cloud connectivity patterns + Experience with Vertex AI platform andMLOpspatterns on GCP, Bachelor's degree in Computer Science, Engineering, or a related field - or equivalent demonstrated experience. ## Description We are looking for a GCP Principal Engineer to lead our Cloud Engineering team, owning the Google Cloud Platform for the enterprise. This is a foundational platform role - you are the GCP 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 GCP 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 GCP 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. GCP Platform Ownership + Own the enterprise GCP platform end-to-end: organization structure, resource hierarchy, networking architecturewhile collaborating with several teams to ensure the platform is stable and compliant. + Define andmaintainthe GCP landing zone - Shared VPC, Org Policies,and project factory patterns - as the foundation all product teams build on. + Serve as theone of thefinal technical authoritieson GCPengineeringdecisions, 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 theGCPcloud engineering team as the technical anchor - set direction, conduct design reviews, unblock engineers, and drive delivery on platform initiatives. + Establish and enforce engineering standards:IaCpatterns, 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 "excellence" 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 coreprinciple -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 GCP APIs, andeliminateoperational toil. + Implement policy-as-code using OPA, Config Connector, and GCP Org Policies to enforce governance at scale without manual gatekeeping. 4. Networking, Security & Compliance + Architect/EngineerGCP networking: Shared VPC, VPC Service Controls, Private Service Connect,NCC,CloudNAT,and hybrid connectivity via Cloud Interconnect and HA VPN. + Own the enterprise security posture on GCP - 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)socontrols are enforced in real time, not discovered at audit. + Integrate observability - Cloud Operations Suite, Datadog, and SLO/SLI frameworks - as a first-classplatformcapability across all workloads. 5. Platform Strategy & Continuous Improvement + Own the GCP platform roadmap, evaluating new GCP services and capabilities and making deliberate decisions about what the enterprise adopts and when. + IncorporateFinOps practices across the platform: committed use discounts, rightsizing, budget alerting, and cost allocation as engineering disciplines, not afterthoughts. + Research and pilot emerging GCP capabilitieslike- Vertex AI, GKE Enterprise, Duet AI for DevOps - evaluating their fit for enterprise adoption. + Foster a culturethat drive collaboration across teams and towers to shape the future ofcutting-edgecloud technology adoption ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [Got AI ideas but no money? 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