Senior GCP Engineer (Remote) — AI & DevSecOps Focus

United States Digital Space LLC; United States; Remote; USD 149,469 - 184,000; Full time

Job summary

GDIT is seeking a Senior Google Cloud Platform Engineer to administer GCP, collaborating with AWS and Azure Engineers to maintain, patch, automate, and solve AI devs’ issues. You’ll deliver scalable cloud infrastructure, enhance DevSecOps, and support AI/ML initiatives across federal mission environments.

Role requires 10+ years in cloud engineering, proficiency in GCP services, Docker, GKE, Terraform, and strong scripting skills. Remote work from the USA; secret clearance is required.

Qualifications

• 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-scale 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)

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.

Skills

10+ years experience

GCP engineering & operations

DevSecOps automation

Terraform & IaC

Linux & Windows Server

Python/Bash/PowerShell

GCP networking (VPCs, firewall, DNS)

Docker & GKE

Multi-cloud concepts (AWS/Azure)

Security clearance readiness

Education

Bachelor’s degree in CS/IT/Engineering

Tools

Terraform

Docker

GKE

GitHub Actions

Jira

Confluence

Azure DevOps

Job description

GDIT is seeking a Senior Google Cloud Platform Engineer to administer GCP, collaborating with AWS and Azure Engineers to maintain, patch, automate, and solve AI devs’ issues. You’ll deliver scalable cloud infrastructure, enhance DevSecOps, and support AI/ML initiatives across federal mission environments.

Role requires 10+ years in cloud engineering, proficiency in GCP services, Docker, GKE, Terraform, and strong scripting skills. Remote work from the USA; secret clearance is required.