Posted today
Public Trust
Mid Level Career (5+ yrs experience)
Unspecified
IT - Software
Washington, DC (On-Site/Office)
Google Cloud Platform (GCP) Engineer
Location: Washington D.C. (onsite)
Clearance: Public Trust (OR being willing to obtain, U.S. Citizenship Required)
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):
o Terraform (preferred)
o Deployment Manager (where applicable)
• Automate operational and lifecycle tasks using:
o Cloud Functions
o Cloud Run
o Workflows
o 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:
o On-premises to Google Cloud migrations
o Cloud-to-cloud migrations (e.g., AWS or Azure to GCP)
• Assist with:
o Migration planning and execution
o Workload and dependency analysis
o 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:
o Identity platforms (Google Workspace, Active Directory, SSO)
o CI/CD pipelines and automation tooling
o 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:
o Compute Engine
o GKE
o Cloud Run
o App Engine
• Assist development teams with:
o Environment provisioning
o Deployment pipelines
o Performance and reliability tuning
• Review cloud architectures for scalability, resilience, security, and cost
Data & Analytics (Strong Plus)
• Support data platforms such as:
o BigQuery
o Cloud Storage
o Pub/Sub
o 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:
o IAM, VPC, Compute Engine, Cloud Storage
o 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
Location: Washington D.C. (onsite)
Clearance: Public Trust (OR being willing to obtain, U.S. Citizenship Required)
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):
o Terraform (preferred)
o Deployment Manager (where applicable)
• Automate operational and lifecycle tasks using:
o Cloud Functions
o Cloud Run
o Workflows
o 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:
o On-premises to Google Cloud migrations
o Cloud-to-cloud migrations (e.g., AWS or Azure to GCP)
• Assist with:
o Migration planning and execution
o Workload and dependency analysis
o 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:
o Identity platforms (Google Workspace, Active Directory, SSO)
o CI/CD pipelines and automation tooling
o 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:
o Compute Engine
o GKE
o Cloud Run
o App Engine
• Assist development teams with:
o Environment provisioning
o Deployment pipelines
o Performance and reliability tuning
• Review cloud architectures for scalability, resilience, security, and cost
Data & Analytics (Strong Plus)
• Support data platforms such as:
o BigQuery
o Cloud Storage
o Pub/Sub
o 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:
o IAM, VPC, Compute Engine, Cloud Storage
o 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
group id: 10529568
