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Dataiku

Enterprise AI platform for data science

Infrastructure Engineer

Platform EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Proficiency in infrastructure automation using tools such as Terraform.
  • Expertise in container technologies and managed Kubernetes clusters.
  • Advanced scripting skills in Python.
  • Field experience with Linux operating systems and low-level system troubleshooting.
  • Practical experience in networking and compute within a major cloud provider such as AWS, Azure, or GCP.
  • Demonstrated ability to resolve complex technical challenges through root cause analysis.

Responsibilities

  • Design, deploy, and manage core product-based internal data platforms.
  • Design, deploy, and configure production environments for multiple web services.
  • Collaborate with teams to architect technical solutions, then deploy and manage those solutions.
  • Develop core product features around cloud services and Linux integration.
  • Ensure optimal service capacity and robust security for all running workloads and services.

Desired Qualifications

  • Experience implementing authentication and authorization systems, including LDAP, SAML, and OAuth2.
  • Experience with configuration management tools such as Ansible, Puppet, or Chef.
  • Knowledge of additional programming languages, particularly Go.
  • Experience in networking and compute across multiple cloud providers such as AWS, Azure, or GCP.

About the Company

Dataiku

Enterprise AI platform for data science

Dataiku provides an end-to-end platform for building and deploying AI and analytics applications across an organization. It supports no-code, low-code, and full-code workflows to let business analysts, data scientists, and IT collaborate on data preparation, model development, deployment, and governance. The platform integrates with major cloud providers (AWS, Azure, Google Cloud), data infrastructures, and legacy systems, and includes features like the Dataiku LLM Mesh, a secure gateway to large language models. Dataiku differentiates itself by offering a technologically agnostic environment that emphasizes everyday AI use, cross-team collaboration, and an enterprise-grade lifecycle from data prep to deployment and monitoring. Its goal is to help organizations turn data into sustained, scalable value—enabling widespread AI adoption, improving processes such as fraud detection, churn prevention, and supply chain optimization across hundreds of companies worldwide.

Company size
1,001-5,000
Company stage
Series F
Total funding
$846.4M
Headquarters
New York City, New York
Founded
2013

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