Google Cloud Platform (GCP) Engineer

SAIC•Washington, DC

2h•Onsite

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

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