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 AWS and Azure and GCP
- 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 AWS and Azure and GCP
- 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 technical Assessment with two SRE team members
- Final Interview with the SRE Director
