Google Cloud Platform (Google Cloud Platform) Engineer

Job ID: 2600358

Location: WASHINGTON, DC, US

Date Posted: 2026-01-14

Category: Information Technology

Subcategory: Knowl/Collab Engr

Schedule: Full-time

Shift: Day Job

Travel: No

Minimum Clearance Required: None

Clearance Level Must Be Able to Obtain: Public Trust

Potential for Remote Work: No

Description

We are seeking a mid-level Google Cloud Platform (Google Cloud Platform) Engineer with strong, hands-on experience across cloud administration, automation, system integration, and application support. This role supports production Google Cloud Platform 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 Google Cloud Platform 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 Google Cloud Platform 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:

Google Cloud Platform Administration & Operations:

• Administer and support Google Cloud Platform 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 Google Cloud Platform)
• 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 Google Cloud Platform 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 Google Cloud Platform 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

Target salary range: $80,001 - $120,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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• Dice Id: 10111346
• Position Id: 2600358
• Posted 1 hour ago