Google Cloud Platform (GCP) Engineer Job Listing at SAIC in Washington, DC (Job ID 2600358)

Description

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.

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