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.
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
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- 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
Requirements Top Qualifications, Skills, Experience or Certifications:
1.) 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)
2.)Google Cloud Platform certifications are a plus, but not required. There's more emphasis place on actual hands-on experience.
3.)Bachelor / Masters in Computer Science, Information Systems or related discipline
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 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
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