Google Cloud Platform (GCP) Engineer
Job ID
133685
Job Type
Contract
Industry
Manufacturing
Location
Washington, DC, United States
Talascend is currently seeking a Google Cloud Platform (GCP) Engineer for a W-2 contract in Washington, D.C.
Clearance:
- US Citizenship is required.
- Ability to obtain a Public Trust Security Clearance is required.
- Department of Transportation (DOT) Active Public Trust Security Clearance is preferred.
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.
Responsibilities:
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.
Qualifications:
- Bachelor’s degree in Computer Science, Information Systems or related discipline.
- 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]).
- 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 Qualifications:
- Master’s degree in Computer Science, Information Systems or related discipline.
- 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.
- 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).
We thank all applicants for their interest. However, only those qualified individuals who closely meet the qualifications of the position will be contacted. The details of the position are only a summary, other duties may be assigned as necessary.
Background Check and Drug Screen may be required.
Talascend is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.
