**Description** 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. Must be able to work onsite on a full-time basis! Remote positions will be considered depending on skills, qualifications, and availability during 7AM-7PM Eastern support window. **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): + 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 **Cloud Migration & Modernization:** + Support cloud migration initiatives, including: + On-premises to Google Cloud migrations + Cloud-to-cloud migrations (e.g., AWS or Azure to GCP) + Assist with: + Migration planning and execution + Workload and dependency analysis + 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: + Identity platforms (Google Workspace, Active Directory, SSO) + CI/CD pipelines and automation tooling + 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: + Compute Engine + GKE + Cloud Run + App Engine + Assist development teams with: + Environment provisioning + Deployment pipelines + Performance and reliability tuning + Review cloud architectures for scalability, resilience, security, and cost **Data & Analytics (Strong Plus):** + Support data platforms such as: + BigQuery + Cloud Storage + Pub/Sub + Dataflow + Assist with data ingestion pipelines and analytics workloads + Understand basic data governance, access controls, and performance tuning **Qualifications** **Required Skills and Qualifications:** + 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 + Proven experience administering and supporting GCP services, including: + IAM, VPC, Compute Engine, Cloud Storage + Monitoring, logging, and alerting + Hands-on experience with Infrastructure as Code and automation + Experience supporting 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 teams + Candidate must be a U.S. citizen or green card holder who has resided in the U.S. for at least 3 years and the ability to obtain a public trust **Preferred / Nice-to-Have Qualifications:** + Experience with GKE (Kubernetes) or containerized workloads + Experience with CI/CD pipelines (Cloud Build, GitHub Actions, Jenkins, etc.) + Experience with data engineering concepts on any of the db platforms + Experience supporting enterprise identity integrations + Familiarity with cloud security best practices + Google Cloud certifications (Associate or Professional) — optional Target salary range: $80,001 - $120,000. The estimate displayed represents the typical salary range for this position based on experience and other factors. REQNUMBER: 2600358 SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability