Google Cloud Platform; GCP Engineer

Role Summary

Leidos is seeking a mid-level Google Cloud Platform (GCP) Engineer to support production cloud environments and cloud migration initiatives for a Department of Transportation (Use the "Apply for this Job" box below). This role focuses on hands-on cloud engineering
, including GCP administration, automation, infrastructure as code, system integration, and application support.

The position emphasizes real-world operational experience over certifications and requires independent execution with meaningful impact on project deliverables. The engineer will collaborate closely with internal teams, support end-to-end cloud solutions, and contribute to modernization and migration efforts.

• Administer and support GCP organizations, folders, projects, and billing
• Manage IAM roles, service accounts, and access controls using least-privilege principles
• Configure and maintain VPC networks, firewall rules, VPNs, and hybrid connectivity
• Monitor platform health using Cloud Monitoring, Logging, and Alerting
• Troubleshoot production issues and perform root-cause analysis
• Support development, test, staging, and production environments

• Design, deploy, and maintain infrastructure using Infrastructure as Code (IaC):
  • Terraform (preferred)
  • Deployment Manager (where applicable)
• Automate operational and lifecycle tasks using:
  • Cloud Functions
  • Cloud Run
  • Workflows
  • Cloud Scheduler
• Develop and maintain scripts using Python and/or shell scripting
• Reduce manual effort through standardization and automation

• Support on-premises to GCP and cloud-to-cloud migrations (AWS/Azure to GCP)
• Assist with migration planning, execution, and workload dependency analysis
• Support data, application, and infrastructure migrations
• Participate in cutovers, post-migration stabilization, and optimization
• Help modernize legacy workloads into cloud-native or hybrid architectures

• Integrate GCP services with enterprise systems, including:
  • Identity platforms (Google Workspace, Active Directory, SSO)
  • CI/CD pipelines and automation tools
  • SaaS and internal applications
• Support API-based and event-driven integrations using REST and Pub/Sub
• Collaborate with security, networking, and application teams
• Support hybrid and multi-cloud integration patterns

• Support applications deployed on:
  • Compute Engine
  • GKE
  • Cloud Run
  • App Engine
• Assist development teams with environment provisioning and deployment pipelines
• Perform performance, reliability, scalability, security, and cost reviews of cloud architectures

• 3–6 years of hands-on experience with Google Cloud Platform in production environments
• Proven experience administering and supporting GCP services, including:
  • IAM
  • VPC
  • Compute Engine
  • Cloud Storage
• Experience with monitoring, logging, and alerting
• Hands-on experience with Infrastructure as Code and automation
• Experience supporting cloud migration initiatives (on-prem → cloud and/or cloud → cloud)
• Proficiency in Python and/or shell scripting
• Strong troubleshooting, problem-solving, and documentation skills
• Ability to work independently while collaborating across technical teams

• Experience with GKE (Kubernetes) or containerized workloads
• Experience with CI/CD pipelines (Cloud Build, Git Hub Actions, Jenkins, etc.)
• Experience with data engineering concepts on database platforms
• Experience supporting enterprise identity integrations
• Familiarity with cloud security best practices
• Google Cloud certifications (Associate or Professional) — optional
• Experience with data and analytics platforms:
  • Big Query
  • Cloud Storage
  • Pub/Sub
  • Dataflow

• BS or MS in Computer Science, Information Systems, or related discipline
• Typically:
  • BS with 4–8 years of relevant experience or
  • MS with 2–6 years of relevant experience
• Active Public Trust and/or DOT onboarding is a strong plus
• Must be eligible to obtain Public Trust clearance
• 5 days per week onsite in Washington, DC

Leidos supports mission-critical technology programs for U.S. government agencies, including the Department of Transportation. This role contributes directly to digital modernization initiatives, supporting secure, scalable, and resilient cloud solutions in a regulated federal environment.