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 of data and AI tech, selecting tools that truly 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 find out even more about working in Engineering at Dataiku by taking a look here.
How you’ll make an impact
- Design, deploy and maintain a cloud infrastructure to support a Dataiku SaaS offering mainly on Azure and AWS
- Continuously improve the infrastructure, deployment and configuration to deliver more reliable, resilient, scalable and secure services
- Automate as much as possible all technical operations
- Troubleshoot cloud infrastructure, systems, network, and application stacks
- Setting up monitoring, logging and tracing tools to detect and fix any potential issues
- Participate in on-call rotation
What you’ll need to be successful
- Hands-on expertise working with Docker and Kubernetes
- Strong experience leveraging cloud resources from different providers, mainly Azure and AWS
- Hands-on experience with Infrastructure as code tools (e.g. Terraform, Helm, Argo CD),
- Understanding of observability platforms and practices
- Solution-oriented and automation first mindset
What does the hiring process look like?
- Initial call with a member of our Tech Recruiting team
- Video call with an SRE Manager
- Home technical Assessment to show your skills
- Debrief of your Tech Assessment with two SRE team members
- Final Interview with the SRE Director
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.
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