Senior Google Cloud Platform Engineer

Type of Requisition: Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: SSBI (T5) Job Family: IT Infrastructure and Operations Job Qualifications: Skills: GCP Cloud SQL, Google Cloud Platform (GCP) for Machine Learning, Google Cloud Platform Administration, Google Cloud Platform Architecture, Google Cloud Storage Certifications: None Experience: 10 + years of related experience US Citizenship Required: No Job Description: GDIT is seeking a Senior Google Cloud Platform Engineer to administer the Google Cloud Platform (GCP), working with AWS and Azure Engineers to maintain, patch, automate and help AI devs solve and solution technical issues. As a Senior GCP Engineer , the work you’ll do at GDIT will be impactful. You will play a crucial role providing senior-level engineering expertise and supports mission programs by delivering scalable cloud infrastructure, enhancing DevSecOps capabilities, and enabling AI and data science proof-of-concepts across customer environments. You will deliver scalable cloud infrastructure, enhance DevSecOps capabilities, and support AI/ML and data-science initiatives across mission environments. You will ensure GCP environment reliability, performance, governance, and security in support of modernization and mission outcomes. Work visa sponsorship will not be provided for this role. Advance how our customers operate while you advance your career. Join GDIT remotely as a Senior Google Cloud Platform Engineer and build an impactful career in enterprise IT, collaborating with people who are driven and resourceful like you. HOW YOU WILL MAKE AN 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. WHAT YOU’LL NEED TO SUCCEED Bring your technology expertise and drive for innovation to GDIT. The Cloud Engineer Sr Principal must have: Bachelor’s degree in Computer Science, IT, Systems Engineering, or related field. 10+ years of cloud, infrastructure, systems, or platform engineering experience, preferably with hands-on development 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) PREFERRED 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. GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of everything we do. Growth: AI-powered career tool that identifies career steps and learning opportunities Support: An internal mobility team focused on helping you achieve your career goals Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off Community: Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore an enterprise IT career at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your desire to drive operations forward. The likely salary range for this position is $149,469 - $184,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: L