Software Engineer Fullstack

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.

Here are some useful links so you preview what we do at Dataiku: Dataiku's Key Capabilities ; Dataiku's Github, you can also take a look at the Gallery, a public instance showcasing some example projects (note editing is very limited and will be regularly reset).

Our product is called Dataiku DSS which stands for Dataiku Data Science Studio. If you'd like to know more about it, you can watch the demo here or try the free version here.

**How you'll make an impact**

At Dataiku, our engineering teams are cross-functional and tackle diverse challenges across back-end and front-end development. Your work will help build and operate Dataiku Cloud, the Dataiku SaaS offering based on Dataiku's core product. This team consists of a cloud infrastructure and a launchpad, where users can manage their DSS instance(s), invite users to contribute, set up some data sources and manage the Dataiku subscription.

The role consists in actively participating in the design and implementation of a SaaS portal associated with the managed service offering. Here are some examples of what you might do:

- Develop new features to provide the smoothest experience for users so that they can benefit the power of DSS in a few clicks on the online environment.
- Ease installation and lifecycle management of the DSS instances running on our infrastructure.
- Improve the quality of the code to ensure high availability and low latency for the platform.
- Work with other Dataiku services to provide a more customized experience for Dataiku Cloud users.
- Tech stack: Python (Flask) for the backend of the launchpad and VueJS for the frontend.

**What you'll need to be successful**
- You are an agnostic Software Engineer with a significant experience in one or more languages (Java, Python, Scala, Node.JS, or others)
- We're hiring at all levels (junior, mid, senior)
- Knowledge of distributed systems, cloud platforms, and modern data architectures
- A collaborative spirit and a passion for solving complex problems that enhance user experience
- You value code simplicity and performance
- You want to work in a fast, high-growth environment that respects its engineers and customers

**What does the hiring process look like?**
- 45 min call with a Technical Recruiter
- Technical video interview with an Engineering Team Lead
- Take home assignment or Live Coding session
- 2 last interviews with VPs of Engineering

**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.

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