Senior Google Cloud Platform Engineer
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Job Description
Senior Google Cloud Platform Engineer at GDIT administering GCP and collaborating with AWS/Azure Engineers. Support AI/devs for scalable cloud infrastructure and AI/data science initiatives.
Responsibilities:
- Engineer, deploy, and optimize GCP infrastructure across IaaS, PaaS, serverless, container, data, and AI services
- Support data scientists and AI engineers using Vertex AI, Gemini APIs, Model Garden, BigQuery ML, Dataproc, Dataflow, and Databricks on GCP
- Develop and maintain Infrastructure as Code (IaC) using Terraform and policy-driven automation frameworks
- Migrate cloud resources into IaC with version control, automated testing, and compliance enforcement
- Implement DevSecOps practices including automated scans, configuration compliance, policy-as-code, and CI/CD controls
- Engineer core GCP components: compute, storage, networking, identity, Kubernetes, monitoring, logging, and governance
- Design and support secure connectivity across hybrid, SaaS, and multi-cloud architectures
- Produce architecture diagrams, engineering documentation, implementation guides, and technical recommendations
- Evaluate emerging GCP, AI, and multi-cloud services and recommend adoption strategies
- Contribute to cloud standards, reusable patterns, landing zones, security baselines, and modernization roadmaps
Requirements:
- 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 (U.S. citizenship required)
Benefits:
- Comprehensive benefits and wellness packages
- 401K with company match
- Competitive pay and paid time off
- Flexible work weeks with possible paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave
- Paid Family Leave program providing a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees
- Short and long-term disability benefits
- Life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance
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