Posted Sep 28, 2026

Cloud Engineer Mid-level (Google Cloud)

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Description 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. 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. Qualifications Job Role Specific Requirements: Bachelor's Degree and 5+ years of experience or Master's Degree and 3+ years of experience. 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 and 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 and 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 on-boarded 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 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 public trust. Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.