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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.
Are you interested in this position?
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