Mid-Level Google Cloud Platform (GCP) Engineer

Job summary

Position: Mid-Level Google Cloud Platform (GCP) Engineer Location: Remote Terms: Full Time Clearance: Public Trust (Tier 2+) Eligible Travel: 0–10% RESULTS. WE’RE A MISSION-DRIVEN IT SERVICES COMPANY AND SYSTEMS INTEGRATOR SUPPORTING DIGITAL TRANSFORMATION AND MODERNIZATION FOR FEDERAL GOVERNMENT AGENCIES.

Benefits

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience).
• 3–5 years of Google Cloud Platform engineering experience.
• GCP Associate Cloud Engineer certification required; Professional Cloud Architect or Professional Data Engineer preferred.
• Experience with Compute Engine, GKE, Cloud Run, Cloud Storage, BigQuery, Pub/Sub, Dataflow, and Cloud Functions.
• Experience with Terraform, Docker, Kubernetes, Cloud Build, GitHub Actions, and Infrastructure as Code.
• Python and/or Go programming experience.
• Experience designing IAM, VPCs, and secure cloud networking.
• Experience supporting FedRAMP-compliant cloud environments and Agile delivery teams.
• Ability to obtain and maintain a Public Trust clearance.
• PREFERRED
• Experience supporting NOAA, NMFS, or other Federal civilian agencies.
• Vertex AI and machine learning pipeline implementation.

Responsibilities

• BY INVESTING IN OUR PEOPLE AND FOSTERING A FLEXIBLE, SUPPORTIVE ENVIRONMENT, YOU WILL HAVE THE OPPORTUNITY TO GROW YOUR
• Assess legacy systems and develop migration strategies for Google Cloud Platform.
• Design cloud landing zones, VPC architectures, and enterprise GCP configurations.
• Support lift-and-shift, re-platforming, and cloud-native modernization using Anthos, GKE, and Compute Engine.
• Apply cloud financial management best practices to optimize cloud utilization and cost.
• Develop scalable data pipelines using BigQuery, Dataflow, Pub/Sub, and Cloud Composer.
• Design cloud data lakes and data warehouse solutions supporting scientific and operational analytics.
• Implement data governance, lineage, and quality controls using Google Cloud services.
• Collaborate with data scientists to operationalize machine learning models using Vertex AI.
• Develop CI/CD pipelines with Cloud Build, Artifact Registry, and GitHub Actions.
• Automate infrastructure provisioning with Terraform and Cloud Deployment Manager.
• Implement security controls supporting FISMA, FedRAMP, and NIST 800-53 compliance.

Certifications

Degrees

Travel

Industry

Company size

Contract length

Security clearance