GCP Cloud Infrastructure Engineer
5 Star RecruitmentPhoenix, Arizona, United States
Posted January 6, 2026
Full Time
About the Company
5 Star Recruitment specializes in connecting employers with top talent across a range of industries. Their core focus is on delivering tailored recruitment solutions that match candidates' skills and career aspirations with employers' strategic objectives. The firm differentiates itself through a rigorous screening process, a robust network of industry experts, and a commitment to building long‑term partnerships with both clients and candidates. By combining deep market knowledge with a personalized approach, 5 Star Recruitment consistently places the right people in the right roles, driving success for both organizations and individuals.
Job Description
Act as consultant and subject matter expert for internal stakeholders in engineering, sales, customer organizations to resolve technical deployment obstacles and improve Google Cloud.
Requirements
- Bachelors or masters degree in computer science, computer engineering, or other technical discipline, or equivalent work experience
- 15+ years of experience with Infrastructure automation tools (Terraform), with a focus on IaC and immutable infrastructure
- 15+ years of experience with GCP cloud foundational offerings IAM, VPC, Cloud Logging, Security controls, Storage and Compute
- Software development experience in one of the OO programming languages: Java, Go and/or Python
- Strong background in Container & Orchestration Technologies such as Docker, Kubernetes, OpenShift
- CloudBees (Jenkins Enterprise) experience is required minimum of 5+ years working with CloudBees CI/CD solutions
- 5+ years of hands-on experience with CloudBees (Jenkins Enterprise)
- Strong expertise in GCP services (IAM, VPC, GKE, Dataflow, BigQuery)
- Proficiency with Terraform and Infrastructure as Code (IaC)
- Solid background in Docker, Kubernetes, and Service Mesh (Istio preferred)
- Experience with CI/CD, monitoring tools (Stackdriver, Prometheus), and production support at scale
