Senior Cloud Platform Engineer

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🔥 6 minutes ago

🇺🇸 United States – Remote

💵 $149.5k - $184k / year

⏰ Full Time

🟠 Senior

☁️ Cloud Engineer

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General Dynamics Information Technology

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1954

🔒 Cybersecurity

🤖 Artificial Intelligence

Defense • Cybersecurity • Artificial Intelligence

General Dynamics Information Technology is a company at the forefront of technological innovation, offering a wide range of services including consulting, digital modernization, and application services. The company is heavily involved in implementing solutions related to artificial intelligence, cloud computing, cybersecurity, high-performance computing, and quantum technologies. GDIT is committed to supporting government and defense sectors, providing mission-critical services such as logistics and supply chain management, intelligence, and homeland security. The company also focuses on diverse and inclusive hiring practices and actively promotes employee well-being. Through its digital accelerator solutions and pioneering use of emerging technologies, GDIT aims to propel agencies' missions forward and address complex technological challenges.

📋 Description

• 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

• 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

• 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