Google Cloud Platform

Google Cloud Platform (GCP) Engineer - Mid-Level

100% onsite

Washington, DC

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):
• 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

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 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

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

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• Medical Insurance
• Vision & Dental Insurance
• Life Insurance
• 401K
• Commuter Benefits
• Employee Discounts & Rewards
• Payroll Payment Options

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