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Dataiku

Senior Infrastructure Engineer - Paris or Remote

Remote Paris, France
GCP Terraform Kubernetes Ansible AWS Python Chef Puppet Azure
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Description

At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI. 

 

Why Engineering at Dataiku? 

Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies,  and our technology stack reflects our commitment to quality and innovation. We integrate the best data and AI tech, selecting tools that enhance our product. From the latest LLMs to our dedication to open-source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can learn more about working in Engineering at Dataiku by looking here.

We are looking for talented engineers to design, scale, and maintain our internal and customer-facing infrastructures to reach this goal. Our current technical stack mainly runs on AWS with some Azure and GCP bits. Our principal tools are Terraform, Kubernetes, and Python

How you’ll make an impact 

  • Design, scale, and maintain our configuration management stack.
  • Maintain our multi-cloud Infrastructure as a Code repository to keep our fleet monitored, up-to-date, available, and secure.
  • Add high-availability services, increase observability, and build self-healing mechanisms to support the management of our Kubernetes clusters.
  • Expand and maintain our CI/CD pipelines to deploy our customer-facing applications and artifacts automatically and safely, as well as our internal applications.
  • Improve the monitoring we have in place by scaling the current infrastructure, collecting missing metrics and instrumenting our code base.
  • Developing automation tools to help us scale the infrastructure without scaling the various teams. Specifically to propagate user identities and manage our Cloud resources.
  • Provide Cloud security best practices to keep our infrastructure secure and resilient.

What you’ll need to be successful 

  • Experience with at least one configuration management tool, Chef, Ansible, Puppet, SaltStack…
  • Experience running production load on AWS. Including monitoring, high availability designs, and services such as lambda, RDS, Load balancing, CDN, VPC …
  • Experience in designing CI/CD pipelines to save engineering time and increase deployment reliability.
  • You have worked in environments where automation is key.
  • You have some knowledge of application development, ideally in Python.
  • You like solving technical problems and are curious about how things work.
  • You care about documenting the solutions you implement and monitoring their health by creating and maintaining actionable alerts.
  • You don't hesitate to ask questions when you don't know, and you treat your colleagues with respect, kindness, and transparency.

What will make you stand out

  • Experience working in highly technical teams (e.g., platform teams, AI/ML, back-end software engineering, etc.)

What does the hiring process look like?  #LI-Hybrid 

  • Initial call with a member of our Tech Recruiting team
  • Video call with our Cloud Infrastructure Architect
  • Technical Home Test Assessment to show your skills
  • Final Interviews with our Director and VP of Infrastructure

 

 
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: reasonable-accommodations@dataiku.com
Dataiku
Dataiku
Analytics Artificial Intelligence Data Integration Enterprise Software Machine Learning

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