Google Cloud Platform (GCP) Engineer
About The Position
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. 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.
Requirements
- Bachelor's Degree and 5+ years of experience or Master's Degree and 3+ years of experience
- 3–6 years of hands-on experience working with Google Cloud Platform in production environments
- Proven experience administering and supporting GCP services
- 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 public trust
Nice To Haves
- Google Cloud certifications
- Experience with data engineering and analytics platforms
- Active public trust and/or DOT on-boarded
Responsibilities
- 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
- 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 and Cloud Scheduler
- Develop and maintain scripts using Python and/or shell scripting
- Reduce manual effort through standardization and automation
- 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
- 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
- Support applications deployed on: Compute Engine, GKE, Cloud Run and App Engine
- Assist development teams with: Environment provisioning, Deployment pipelines, Performance and reliability tuning
- Review cloud architectures for scalability, resilience, security, and cost
- 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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
