Site Reliability Engineer - Cloud
Dataiku
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 cntribute 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
- 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
What you’ll need to be successful
- Hands-on expertise working with Docker and Kubernetes
- Strong experience leveraging cloud resources from different providers
- Hands-on experience with Infrastructure as code tools (Terraform/Ansible, Helm.),
- Knowledge of distributed systems like Hadoop and Spark
- 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 Engineering Team Lead
- Home technical Assessment to show your skills
- Debrief of your Tech Assessment with two engineering team members
- Final Interview with a VP Cloud
