Dataiku

Senior Infrastructure Engineer

France full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance.

The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.

The Platforms Infrastructure team is seeking a driven individual to join us in addressing our evolving infrastructure challenges. At Dataiku, our mission is to architect, deploy, and maintain robust data platforms centered around our core product. We also provide industrialization and production configurations for mission-critical web services.

As domain experts, we proactively develop and disseminate reference infrastructure, best practices, knowledge, and tooling across all technical teams at Dataiku. This role encompasses a broad spectrum of responsibilities, from leveraging high-level managed services at hyperscalers to performing in-depth, low-level Linux debugging.

As a key contributor to the deployment of our core product, the team actively participates in development initiatives related to infrastructure and Linux system interactions.

We foster a collaborative environment and seek a like-minded individual to engage in highly collaborative projects. Effective communication skills are essential for interacting with diverse teams throughout the company.

This position is based in Paris and may be considered for remote work.

Your responsibilities:

Design, deploy, and manage our core product based internal data platforms.

Design, deploy, and configure production environments for multiple web services.

Collaborate with teams to architect technical solutions, and subsequently deploy and manage those solutions.

Develop core product features around cloud services and Linux integration.

Guarantee optimal service capacity and robust security for all running workloads and services.

The role might be a good fit if you have:

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 (AWS, Azure, or GCP).

Demonstrated resilience in resolving complex technical challenges, with a relentless pursuit of root cause analysis.

Bonus point for any of these:

Experience in implementing authentication and authorization systems, including LDAP, SAML, and OAuth2.

Experience with configuration management tools as Ansible, Puppet or Chef.

Knowledge of additional programming languages, particularly Go, considered a strong asset.

Experience in networking and compute across multiple cloud providers (AWS, Azure, or GCP).

What are you waiting for!

At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: [email protected]

Protect yourself from fraudulent recruitment activity

Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT Data Analysis Human Resources Remote Collaboration Senior Infrastructure Mid level

Likely questions

  1. Tell us about work you have done that is close to the Senior Infrastructure Engineer role.
  2. How would you approach your first 30 days at Dataiku?
  3. Which of Data Analysis, Human Resources and Remote Collaboration have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Human Resources and Remote Collaboration.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Senior Infrastructure Engineer role because I can bring practical experience in Data Analysis, Human Resources and Remote Collaboration, learn the team quickly, and contribute to the outcomes Dataiku needs from this hire.

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