Senior Google Cloud Platform Engineer
$149,469–$184,000 year
RemoteUnited States
Job Summary
Administer Google Cloud Platform infrastructure, including compute, storage, networking, and Kubernetes, while collaborating with AWS and Azure engineers to maintain, patch, and automate mission programs. Engineer and optimize scalable cloud solutions, enhance DevSecOps capabilities, and support AI/ML initiatives using Vertex AI, BigQuery, and Dataproc. Develop Infrastructure as Code with Terraform, enforce policy-driven automation, and implement secure connectivity across hybrid and multi-cloud architectures. Deliver architecture documentation, technical recommendations, and compliance enforcement to ensure environment reliability and governance.
Required Qualifications
- SSBI (T5) clearance
- U.S. citizenship
- Bachelor's degree in Computer Science, IT, Systems Engineering, or related field
- 10+ years of cloud, infrastructure, systems, or platform engineering experience
- Hands-on enterprise-scaling Google Cloud Platform (GCP) engineering and operations experience
- Experience supporting AI/ML workloads (Vertex AI, BigQuery, Dataproc, Dataflow, MLOps patterns)
- Strong DevSecOps automation skills, including CI/CD, Git-based workflows, and secure deployment practices
- Expertise with Terraform and IaC best practices
- Understanding of multi-cloud concepts and AWS/Azure equivalents
- Proficiency with Linux and Windows Server
- Scripting experience with Python, Bash, and PowerShell
- Strong GCP networking experience (VPCs, subnets, firewall rules, Cloud DNS, Cloud NAT, Cloud Router, Cloud VPN, Cloud Interconnect, PSC, load balancing, routing)
- Experience with Docker and Google Kubernetes Engine (GKE)
- Experience with key GCP services including: Compute Engine, Cloud Storage, Cloud SQL, BigQuery, Cloud Functions, Cloud Run, Artifact Registry, Cloud Build, Cloud Deploy, Cloud Logging, Cloud Monitoring, IAM, Secret Manager, Cloud KMS, SCC, and/or Organization Policy Service
- Ability to obtain and maintain a Secret clearance
Desired Qualifications
- Google Cloud certifications, including Cloud Architect, DevOps Engineer, Security Engineer, Data Engineer, ML Engineer
- Experience with Vertex AI, Gemini APIs, Model Garden, Dataplex, Looker, Cloud Composer, Pub/Sub, and Databricks on GCP
- Experience engineering secure GCP landing zones (Org Policies, folder/project design, centralized logging, Shared VPC, guardrails)
- Experience in regulated environments (FedRAMP, HIPAA, NIST 800-53 / 171, CMMC)
- Security+, CySA+, CISSP, CCSP, CKA, or CKAD certifications
- Experience with Agile/Scrum, Jira, Confluence, GitLab, GitHub Actions, or Azure DevOps
- Experience integrating SaaS platforms with GCP and hybrid/multi-cloud environments
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