Field Engineer

24 hours ago

Singapore DATAIKU PTE. LTD. Full time

Dataiku is looking for an experienced Cloud Field Engineer to join its Field Engineering
Team to support the deployment of its Everyday AI Platform, Dataiku, to an ever growing
customer base.

As a Field Engineer, you’ll work with customers at every stage of their relationship with
Dataiku - from the initial evaluations to enterprise-wide deployments. In this role, you will
help customers to design, build, validate, and run their Data Science and AI Everyday
Platforms.

This role requires strong technical abilities, adaptability, inventiveness, and strong
communication skills. Sometimes you will work with clients on traditional big data
technologies such as SQL data warehouses and on-premise Hadoop data lakes, while at other
times you will be helping them to discover and implement the most cutting edge tools; Spark
on Kubernetes, cloud-based elastic compute engines, and GPUs. If you are interested in
staying at the bleeding edge of big data and AI while maintaining a strong working
knowledge of existing enterprise systems, this will be a great fit for you.

In this role you'll help the team:

- 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, hadoop, kubernetes, spark,...)
- Design and build reference architectures, how-tos, scripts and various helpers to make the deployment and maintenance of Dataiku smooth and easy
- Automate operation, installation, and monitoring of the data science ecosystem components in our infrastructure stack
- Provide advanced support for strategic customers on deployment and scalability issues
- Advance integrations with kubernetes and other infrastructure by contributing code based on customer demand and requirements
- Coordinate with Revenue and Customer teams to deliver a consistent experience 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 customers and our internal account teams to provide the best recommendations and advance customer accounts
- Troubleshoot complex customer issues when necessary

You might be a good fit if you have:

- 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 (preferred)
- Grit when faced with technical issues
- Tendency to not rest until you understand why it does not work
- Comfort and confidence in client-facing interactions
- Ability to work both pre and post sale
- Hands-on experience with the Hadoop and/or Spark ecosystem for setup, administration, troubleshooting and tuning
- Some experience with Python

Bonus points for any of these:

- Experience with authentication and authorization systems like LDAP, Kerberos, AD, and IAM
- Experience debugging networking issues such as DNS resolutions, proxy settings, and security groups
- Some knowledge in data science and/or machine learning
- Some knowledge of Java

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