Google Cloud Platform Engineer - GCP - Public Trust

#Eng-IT-01 Open/Additional Info Job Summary : 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 Note: 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 Benefits PEAK's benefit offerings available for our associates include medical, dental, vision, Flexible Spending Account (FSA), Dependent Care Savings Account (DCA), and 401K plan.PEAK believes that taking care of our team is essential for success and we are proud to provide benefits that enhance both your well-being and your future. Additionally, our associates may be eligible for Paid Sick Leave as required by Federal, State, or local laws. Equal Opportunity Employer (EEO) PEAK Technical Staffing is committed to creating a diverse and inclusive environment and is proud to be an Equal Opportunity Employer. PEAK does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status, or any other characteristic protected by applicable law. All employment decisions are made based on qualifications, merit, and business need. We encourage all individuals to apply. 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