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
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