GCP Cloud Infrastructure Engineer

Job Description

Job Description

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
• 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
• In-depth understanding of Google Clouds GKE Enterprise, Serverless, BigData and Data analytics native offerings such as Dataproc, Composer, Dataflow, BQ and other technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools, and faster diagnosis
• Software development experience in one of the OO programming languages: Java, Go and/or Python
• Understanding of good cloud architecture to ensure high availability while ensuring the highest level of security and visibility
• Strong background in Container & Orchestration Technologies such as Docker, Kubernetes, OpenShift
• Understanding of Traffic Flow Management, including Service Mesh concepts, with experience in Istio preferred, as well as how GTM and LTMs manage traffic flows
• Experience with Logging and Monitoring tools such as Stackdriver, Prometheus and OTEL
• FinOps (cloud) domain knowledge preferred
• Ability to effectively interpret technical and business objectives and challenges and articulate solutions
• Confirmed support of production systems at scale
• Willingness to learn new technologies and exploit them to their optimal potential
• CloudBees (Jenkins Enterprise) experience is required minimum of 5+ years working with CloudBees CI/CD solutions

Must have:

• 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