Senior Infrastructure Engineer
Dataiku provides an enterprise AI platform for building, deploying, orchestrating, and governing analytics, machine learning, generative AI, and AI agents. Its customers include large organizations across financial services, life sciences, manufacturing, retail, energy, logistics, technology, and the public sector.
Maintainer signals as of 8/29/2026
About Dataiku
Dataiku develops a unified enterprise AI platform that connects people, data, analytics, machine-learning models, large language models, and AI agents in a governed environment. Its offerings include AI-agent development and orchestration, centralized LLM management, AI governance, trusted analytics, machine-learning development and deployment, collaboration, monitoring, lineage, and risk controls. Dataiku serves enterprise business and technical teams, including organizations operating in complex and highly regulated industries.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design deploy and manage internal data platforms and production environments for web services. You will collaborate on technical architecture develop cloud and Linux integrations troubleshoot complex systems and maintain capacity security and reliability across workloads.
Requirements
- Proficiency in infrastructure automation using Terraform or similar tools
- Expertise in container technologies and managed Kubernetes clusters
- Advanced Python scripting skills
- Experience with Linux operating systems and low-level troubleshooting
- Practical networking and compute experience with AWS Azure or GCP
- Experience resolving complex technical challenges through root cause analysis
- Experience implementing LDAP SAML and OAuth2 authentication and authorization systems is a bonus
- Experience with Ansible Puppet or Chef is a bonus
- Knowledge of Go is a bonus
- Experience across multiple cloud providers is a bonus
Responsibilities
- Design deploy and manage internal data platforms
- Design deploy and configure production environments for web services
- Architect technical solutions with other teams
- Deploy and manage technical solutions
- Develop product features around cloud services and Linux integration
- Maintain service capacity and security for workloads and services
