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Senior Field Engineer

This job has been Expired
  • Remote
  • Specialism : Engineer
  • Post Date: September 5, 2024
  • Expires In : -75 Days
  • Applications 0
  • Views 543
Job Overview

JOB DETAILS

Requirements
  • Strong Linux system administration experience.
  • Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting, and tuning.
  • Experience with cloud based services like AWS, GCP, and Azure.
  • Grit when faced with technical issues. You don’t rest until you understand why it does not work.
  • Comfort and confidence in client-facing interactions.
  • Hands-on experience with the Hadoop and/or Spark ecosystem for setup, administration, troubleshooting, and tuning.
  • Some experience with Python.
  • Familiarity with Ansible or other application deployment tools (Terraform, CloudFormation, etc).
  • Experience in a client facing role as well as experience working with system integrators
Responsibilities
  • Evangelize the challenges of building Enterprise Data Science Platforms to technical and non-technical audiences.
  • Understand customer requirements in terms of scalability, availability and security and provide architecture recommendations.
  • Deploy Dataiku in a large variety of technical environments (on prem/cloud, Kubernetes, Spark, Hadoop, etc).
  • Design and build reference architectures, decks, scripts and diagrams to make the deployment and maintenance of Dataiku smooth and easy.
  • Coordinate with Revenue and Customer teams to deliver a consistent experience and message to our customers.
  • Train our clients and partners in the art and science of administering a bleeding-edge Elastic AI platform.
  • Drive technical success by being a trusted advisor to our prospects and our internal account teams to provide the best recommendations and advance customer accounts.
  • Troubleshoot complex customer issues when necessary.
 
 
 
 
 
 

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Senior Field Engineer

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