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Senior Cloud Platform Engineer
General Dynamics Information TechnologySenior Google Cloud Platform Engineer optimizing GCP infrastructure at GDIT. Collaborating with AWS and Azure Engineers to support AI/ML initiatives and improve cloud environments.
Tech Stack
Tools & technologiesBigQueryCloudDNSDockerGoogle Cloud PlatformKubernetesLinuxPythonTerraform
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 10+ years of related experience
- Bachelor's degree in Computer Science, IT, Systems Engineering, or related field
- 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
- 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, etc.)
- Experience with Docker and Google Kubernetes Engine (GKE)
Benefits
Comp & perks- Comprehensive benefits and wellness packages
- 401K with company match
- Paid time off including vacation, sick, and personal time
- Holidays, paid parental, military, bereavement and jury duty leave
- Full flex work weeks where possible
- 15 days of paid leave per calendar year
- 10 paid holidays per year
- Paid Family Leave program providing up to 160 hours of paid leave in a rolling 12 month period
- Short and long-term disability benefits
- Life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
TerraformPythonBashPowerShellLinux ServerWindows ServerCI/CDBigQueryDataprocDataflow
Certifications
Bachelor's Degree in Computer ScienceBachelor's Degree in ITBachelor's Degree in Systems Engineering