Senior Google Cloud Platform Engineer

General Dynamics Information Technology

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.

Posted 5/28/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $149,469 - $184,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureBigQueryCloudDNSDockerGoogle Cloud PlatformKubernetesLinuxPythonSQLTerraform

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
Contribute to cloud standards, reusable patterns, landing zones, security baselines, and modernization roadmaps

Requirements

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Google Cloud Platform (GCP)Infrastructure as Code (IaC)TerraformDevSecOpsCI/CDPythonBashPowerShellDockerKubernetes

Soft Skills

communicationcollaborationproblem-solvingdocumentationtechnical recommendations

Certifications

Bachelor's degree in Computer ScienceSecret clearance