GCP Cloud Platform Engineer

Job Description

Summary The Cloud Platform Engineer is responsible for implementing all GCP resources using Infrastructure as Code (Terraform), establishing CI/CD pipelines for automated infrastructure testing and deployment, and configuring comprehensive monitoring that ensures 99.9% platform availability. This role is critical to preventing configuration drift, security vulnerabilities, and deployment failures that cause production outages at enterprise scale. The Platform Engineer ensures infrastructure changes are tested, version-controlled, and reversible, enabling rapid, safe deployment of security updates and platform enhancements critical for maintaining HIPAA compliance and healthcare operations availability. Required Qualifications Infrastructure as Code Expertise 5+ years of cloud infrastructure engineering experience with at least 2+ years focused on Infrastructure as Code Expert-level Terraform proficiency including: Advanced module development with complex dependencies State management, workspaces, and remote backends Provider configuration and version pinning Resource lifecycle management and import procedures Terraform Cloud or Enterprise experience (preferred) Experience implementing CI/CD for infrastructure using Cloud Build, Jenkins, GitLab CI, or GitHub Actions Strong understanding of infrastructure automation patterns and DevOps practices Proficiency with Git including branching strategies, pull requests, and code review workflows Google Cloud Platform Experience Strong GCP knowledge across compute, storage, networking, and security services Hands-on experience with Google Cloud SDK (gcloud CLI) for scripting and automation Understanding of GCP organizational hierarchy (organizations, folders, projects, resources) Experience with VPC networking including subnets, firewall rules, Cloud VPN, and VPC peering Knowledge of IAM at organizational scale including custom roles, conditions, and service accounts Familiarity with GCP security services (VPC Service Controls, Cloud KMS, DLP, Security Command Center) Monitoring & Observability Experience implementing Cloud Monitoring and Logging for production systems Knowledge of SLI/SLO frameworks and error budget tracking Proficiency with log analysis and troubleshooting using Cloud Logging Understanding of alerting best practices and on-call procedures Experience with dashboard creation for different stakeholder audiences Familiarity with distributed tracing for complex system debugging DevOps & SRE Practices Strong understanding of DevOps principles including automation, collaboration, and continuous improvement Experience with Site Reliability Engineering (SRE) practices and methodologies Knowledge of incident management procedures and post-mortem processes Understanding of capacity planning and performance optimization Experience with deployment strategies (blue/green, canary, rolling updates) Familiarity with chaos engineering and resiliency testing Scripting & Programming Strong Python or Go proficiency for automation scripting and tooling development Proficiency with Bash scripting for operational automation Understanding of YAML for configuration management and pipeline definitions Experience with Jinja2 or similar templating for dynamic configuration generation Basic understanding of data structures and algorithms for efficient scripting Preferred Qualifications Google Cloud Professional Cloud Architect or Cloud DevOps Engineer certification Healthcare industry experience with understanding of HIPAA compliance requirements Experience with policy-as-code tools (Terraform Sentinel, OPA, Config Validator) Knowledge of Kubernetes and GKE for containerized workload management Familiarity with service mesh technologies (Istio, Anthos Service Mesh) Experience with HashiCorp Vault or similar secret management solutions Background in security hardening and compliance automation Understanding of FinOps principles and cloud cost optimization Experience with configuration management tools (Ansible, Chef, Puppet) Knowledge of GitOps patterns using tools like ArgoCD or Flux