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Google Cloud Platform; GCP Engineer Security Clearance

Job in Washington, District of Columbia, 20001, USA
Listing for: Catapult Staffing
Full Time position
Listed on 2026-01-27
Job specializations:
  • IT/Tech
    Cloud Computing, Systems Engineer, Data Engineer
Job Description & How to Apply Below
Position: Google Cloud Platform (GCP) Engineer with Security Clearance
Google Cloud Platform (GCP) Engineer

Location:

Washington D.C. (onsite) Clearance:
Public Trust (OR being willing to obtain, U.S. Citizenship Required) We are seeking a mid-level Google Cloud Platform (GCP) Engineer with strong, hands-on experience across cloud administration, automation, system integration, and application support. This role supports production GCP environments and participates in cloud migration initiatives, including on-premises to cloud and cloud-to-cloud migrations. This position prioritizes real-world, operational experience over certifications.

While Google Cloud certifications are valued, demonstrated hands-on experience designing, deploying, automating, migrating, and supporting GCP workloads in production environments carries significantly more weight.

Experience with data engineering and analytics platforms is a strong plus but not a strict requirement for candidates with a proven track record of strong GCP engineering experience. Top Qualifications, Skills, Experience or

Certifications:

-5 years of experience working with Google Cloud Platform to include BI tools available in Google Workspace:
Less time may be considered if broader experience in applicable BI tools/systems is demonstrated (i.e., Tableau, SAS, Power Platforms, Power Apps, M365 suite of apps)
-Google Cloud Platform certifications are a plus, but not required. There’s more emphasis place on actual hands-on experience.

-BS/MS in Computer Science, Information Systems or related discipline

Job Role Specific Requirements:
Core responsibilities and duties; highlight day-to-day activities: GCP Administration & Operations
• 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 environments across development, test, staging, and production Automation & Infrastructure as Code
• Design, deploy, and maintain infrastructure using Infrastructure as Code (IaC): o Terraform (preferred) o Deployment Manager (where applicable)
• Automate operational and lifecycle tasks using: o Cloud Functions o Cloud Run o Workflows o Cloud Scheduler
• Develop and maintain scripts using Python and/or shell scripting
• Reduce manual effort through standardization and automation Cloud Migration & Modernization
• Support cloud migration initiatives, including: o On-premises to Google Cloud migrations o Cloud-to-cloud migrations (e.g., AWS or Azure to GCP)
• Assist with: o Migration planning and execution o Workload and dependency analysis o Data, application, and infrastructure migrations
• Support cutovers, post-migration stabilization, and optimization Help modernize legacy workloads into cloud-native or hybrid architectures Integration & Platform Engineering
• Integrate GCP services with enterprise systems such as: o Identity platforms (Google Workspace, Active Directory, SSO) o CI/CD pipelines and automation tooling o SaaS and internal applications
• Support API-based and event-driven integrations using REST and Pub/Sub
• Collaborate with security, networking, and application teams
• Assist with hybrid and multi-cloud integration patterns Application & Development Support
• Support applications deployed on: o Compute Engine o GKE o Cloud Run o App Engine
• Assist development teams with: o Environment provisioning o Deployment pipelines o Performance and reliability tuning
• Review cloud architectures for scalability, resilience, security, and cost Data & Analytics (Strong Plus)
• Support data platforms such as: o Big Query o Cloud Storage o Pub/Sub o Dataflow
• Assist with data ingestion pipelines and analytics workloads
• Understand basic data governance, access controls, and performance tuning

Required skills and qualifications:

• Active public trust and/or DOT onboarded is a strong plus
• 3–6 years of hands-on experience working with Google Cloud Platform in production environments
• Proven…
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