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Software Engineer - Dataiku Cloud - France or Remote EMEA

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Dataiku

14d ago

  • Job
    Full-time
    Junior Level
  • Software Engineering
    IT & Cybersecurity
  • Paris
  • Quick Apply

AI generated summary

  • You have full stack experience with SaaS, are customer-oriented, humble, and kind. Expertise in Docker, Kubernetes, Python (Flask), and Vue.js (or React/Angular) is essential.
  • You will develop new features, manage DSS installations, enhance code quality for high availability, and collaborate with other services to customize experiences for Cloud users.

Requirements

  • You have experience working on a full stack application and know that backend and frontend code are two sides of the same coin and you are eager to use both.
  • You have a first experience (either professional or personal) building a real SaaS portal.
  • You are customer-oriented — you want to understand how the product is used and solve actual customer problems.
  • You are humble and kind.
  • Hands-on expertise working with Docker and Kubernetes
  • Experience on a high availability SaaS
  • Knowledge in DataScience, AI and Machine Learning
  • Advanced knowledge in Python (Flask) and Vue.JS (Or React/ Angular)

Responsibilities

  • 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.

FAQs

Do we support remote work?

Yes, we support remote work, and the position can be based remotely within the EMEA region or at our headquarters in Paris.

What technology stack will I be working with?

You will be working with Python (Flask) for the backend and Vue.js for the frontend of the Dataiku Cloud Launchpad.

What type of work will I be doing in this role?

You will be actively participating in the design and implementation of the Dataiku Cloud Launchpad, developing new features, easing installation and lifecycle management, improving code quality, and providing a customized experience for users.

Is there an emphasis on customer interaction in this role?

Yes, the role is customer-oriented, and you will need to understand how the product is used and work towards solving actual customer problems.

What qualifications should I have to be successful in this role?

You should have experience with full stack applications, a background in building SaaS portals, and a desire to use both backend and frontend technologies.

What will set me apart as a candidate for this position?

Hands-on expertise with Docker and Kubernetes, experience with high availability SaaS, knowledge in Data Science and Machine Learning, and advanced knowledge in Python (Flask) and Vue.js (or React/Angular) will make you stand out.

Can you describe the hiring process for this role?

The hiring process includes an initial call with a Technical Recruiting team member, a video call with an Engineering Team Lead, a technical assessment, a debrief of the technical assessment, and a final interview with a VP of Engineering.

Is there any support for diversity and inclusion within the company?

Yes, Dataiku is committed to treating everyone with dignity and fairness, and we believe that diverse identities are a source of strength, allowing us to optimize for success across various dimensions.

What is the mission of the Dataiku Cloud team?

The mission of the Dataiku Cloud team is to offer the best Dataiku DSS experience for small data teams as they grow their AI maturity.

Are there separate positions for SRE/Cloud Engineers?

Yes, this role is specifically for Software Engineers, and there are separate positions available for SRE/Cloud Engineers.

Everyday AI, Extraordinary People

Technology
Industry
1001-5000
Employees
2013
Founded Year

Mission & Purpose

Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data. More than 450 companies worldwide use Dataiku to systemize their use of data and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between.

Benefits

  • Family Medical Leave

  • Work From Home

  • Health Insurance

  • Maternity & Paternity Leave

  • Life Insurance

  • Dental Insurance

  • Stock Options

  • Vision Insurance