Infrastructure Engineer

📋 Description

• • As an Infrastructure Engineer at Dataiku, you will play a critical role in ensuring the reliability, security, and performance of the company’s internal and customer-facing infrastructure that powers its AI platform. Your work directly supports Dataiku’s mission to enable enterprises to operationalize AI at scale by maintaining the foundational systems that allow data scientists, analysts, and engineers to build, deploy, and govern AI models efficiently.
• • Day to day, you will operate, maintain, and troubleshoot UNIX/Linux systems in cloud environments, support configuration management and Infrastructure as Code setups, assist with cloud-based infrastructure operations (VMs, networking, managed services), monitor system health and performance, investigate alerts, participate in incident response and root cause analysis, perform routine updates and maintenance for security and reliability, support Kubernetes clusters and containerized workloads from an operational standpoint, collaborate with senior engineers to improve automation and monitoring practices, and document procedures and runbooks to enhance team efficiency.
• • You will join a team of experienced infrastructure and platform engineers at Dataiku, a leading enterprise AI platform company trusted by global organizations to run AI as a business performance engine. The company fosters a culture of innovation, collaboration, and continuous learning, with a strong commitment to diversity, equity, and inclusion, and operates across multiple global locations with flexible remote work options.
• • In this role, you will deepen your technical expertise in Linux systems, cloud infrastructure (AWS, Azure, GCP), networking, automation tools, and container orchestration, while developing strong incident response, documentation, and collaboration skills. You will gain hands-on experience in a high-impact, operationally focused environment where your contributions directly improve system reliability and enable the broader engineering teams to deliver AI solutions at scale.