Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.
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.Dataiku Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Dataiku and has not been reviewed or approved by Dataiku.
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Healthcare Strength — Employer-covered medical, dental, and vision, plus mental-health support and therapy sessions, are consistently highlighted across current materials. U.S.-oriented summaries describe comprehensive coverage and wellness resources that signal a strong health offering.
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Leave & Time Off Breadth — PTO alongside company holidays, unlimited sick time, and a work-from-anywhere policy indicate generous time-off and flexibility provisions. Descriptions emphasize the ability to step away and recharge while maintaining flexibility in where work is performed.
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Equity Value & Accessibility — Equity is extended to employees broadly, and compensation materials characterize stock options as attractive components of total rewards. This positioning suggests equity can be a meaningful part of overall packages for many roles.
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What We Do
Dataiku is the platform for Everyday AI, enabling data experts and domain experts to work together to build data into their daily operations, from advanced analytics to Generative AI. Together, they design, develop and deploy new AI capabilities, at all scales and in all industries. Organizations that use Dataiku enable their people to be extraordinary, creating the AI that will power their company into the future. More than 600 companies worldwide use Dataiku, driving diverse use cases from predictive maintenance and supply chain optimization, to quality control in precision engineering, to marketing optimization, Generative AI use cases, and everything in between.
Why Work With Us
Don’t get us wrong: we're a tech company building software. Our culture is even pretty geeky! But our driving force is and will always remain people, starting with ours. We consider our employees to be our most precious asset, and we're committed to ensuring that each of them gets the most rewarding, enjoyable and memorable work experience with us.
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