How you’ll make an impact

At Dataiku, our mission is to enable customers to bring large-scale data analytics and AI technologies into a centralized, easy-to-use platform. To support this mission, we are looking for an Infrastructure Engineer to help operate, maintain, and troubleshoot our internal and customer-facing infrastructure.

You will work closely with experienced infrastructure and platform engineers, contributing to the reliability and day-to-day operations of our systems. This role is hands-on and operationally focused, with a strong emphasis on UNIX/Linux systems and cloud infrastructure.

Our infrastructure primarily runs on AWS, with some components on Azure and GCP. The tooling environment includes Terraform, Ansible, Kubernetes, and Python, though deep expertise in all of these is not required at entry.

What you’ll work on

• Operate, maintain, and troubleshoot UNIX/Linux systems running in cloud environments
• Support and maintain existing configuration management and Infrastructure as Code setups
• Assist with the operation of cloud-based infrastructure, including virtual machines, networking components, and managed services
• Help monitor system health and performance, investigate alerts, and participate in incident response and root cause analysis
• Perform routine infrastructure updates and maintenance to ensure systems remain secure, reliable, and up to date
• Support Kubernetes clusters and containerized workloads, primarily from an operational and troubleshooting perspective
• Collaborate with senior engineers to improve automation, monitoring, and operational practices
• Document procedures, operational runbooks, and troubleshooting steps to improve team efficiency

What you need to be successful

• Experience working with UNIX/Linux systems, including hands-on troubleshooting and shell scripting
• Understanding of networking fundamentals (TCP/IP, DNS, routing, firewalls, load balancing) in cloud or data-center environments
• Basic experience operating infrastructure in a cloud environment (preferably AWS), including compute, networking, and monitoring services
• Basic scripting or development experience (e.g., Python)
• Clear communication skills and a collaborative, respectful approach to working with teammates
• Willingness to learn, ask questions, and grow technical depth over time

Nice to have

• Exposure to Infrastructure as Code tools such as Terraform
• Familiarity with at least one configuration management or automation tool (e.g., Ansible, Chef, Puppet, SaltStack)
• Familiarity with Kubernetes or container-based environments
• Experience with monitoring tools such as Grafana or similar platforms
• Ability to investigate incidents, follow runbooks, and escalate appropriately when needed
• Interest in automation and reliability, even if you have not yet designed large-scale systems yourself #LI-Hybrid #LI-FR1

Why Engineering at Dataiku? 

Dataiku’s SaaS, cloud or on-premise deployed platform connects many Data Science technologies. 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.

What to know about the Field Engineering team 

As a Field Engineer, you’ll work with customers at every stage of their relationship with Dataiku - from the initial evaluations to enterprise-wide deployments. In this role, you will help customers to design, build, validate, and run their Data Science and AI Platforms.

How you’ll make an impact

This role requires strong technical abilities, adaptability, inventiveness, and strong communication skills. Sometimes you will work with clients on traditional big data technologies such as SQL data warehouses, while at other times you will be helping them to discover and implement the most cutting edge tools; Spark on Kubernetes, cloud-based elastic compute engines, and GPUs. If you are interested in staying at the bleeding edge of big data and AI while maintaining a strong working knowledge of existing enterprise systems, this will be a great fit for you.

Some expected outcomes for this role:

• Understand customer requirements in terms of scalability, availability and security and provide architecture recommendations
• Deploy Dataiku in a large variety of technical environments (SaaS, Kubernetes, Spark, Cloud or on-prem)
• Automate operation, installation, and monitoring of the Data Science ecosystem components in our infrastructure stack
• Collaborate with Revenue and Customer teams to deliver a consistent experience to our customers
• Drive technical success by being a trusted advisor to our customers and our internal account teams 

What you need to be successful:

• Professional experience with at least one cloud based services (AWS, GCP or Azure)
• Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
• Familiarity with Ansible or other application deployment tools (Terraform, CloudFormation, etc)
• Experience with cloud based Data Warehouses and Data Lakes (Snowflake, Databricks)
• Some experience with Python
• Grit when faced with technical issues
• Comfort and confidence in client-facing interactions
• Ability to work both pre and post sale

What will make you stand out:

• Some knowledge in Data Science and/or machine learning
• Linux system administration experience
• Hands-on experience with Spark ecosystem for setup, administration, troubleshooting and tuning 
• Experience with authentication and authorization systems like(A)AD, IAM, and LDAP

What does the hiring process look like? #LI-Hybrid #LI-AN1

Initial call with a member of our Technical Recruiting team

Video call with the Field Engineer Hiring Manager

Technical Assessment to show your skills (Home Test)

Debrief of your Tech Assessment with Field Engineer Team members

Final Interview with the Sr Director Field Engineering

Context & Mission

As Dataiku scales, we are looking for a new member in our IT team to accompany Dataiku's growth.
The main responsibility for this role is to be the owner of the IT Processes and Knowledge Base, allowing us to collectively reach higher levels of reliability, quality and collaboration.

You’ll collaborate closely with every part of the company’s IT organization : IT Support, Operations and Security, Infrastructure, Systems teams (People, Finance, Business) - to optimize and align practices among them.

What you will do

IT Processes

• Scope: Change Management, Incident Management, Project Management (PM)
• Improve and strengthen our processes, following industry best practices/framework (eg: ITIL) and adapted to Dataiku’s context and ways of working
• Lead the application on the field: be a support for teams involved in the process, act as a facilitator, organize periodic meeting, ensure the tools are well configured and easy-to-use
• Configuration of the tools used to support the processes (ITSM, PM)
• Continuous improvement based on your judgement and team’s feedback

Knowledge

• Knowledge Management - define process, map responsibilities and tools to use
• Knowledge Base - set and met objectives (eg: completeness, keep up-to-date)
• System Integration Map - build and maintain a map of existing integration between Application and Systems

What success looks like

First 3 months

• Fully onboarded members of the IT team (get to know the teams, the tools)
• Working closely with IT Support and IT Operations, suggesting and implementing improvements in the processes
• Review of our current Knowledge Base

First 6 months

• Solidify our processes and be a mentor on Change/Incident/Project management
• Onboarded in our tools management (ITSM, PM)
• Help deliver visible improvement in our Knowledge base
• Validate a plan to build the integration map

First year

• Leader and referent for IT processes - among all teams composing the IT function
• Robust Knowledge Management process in place
• Build and maintain an up-to-date version of the Integration Map

What we are looking for

• 3+ years of experience in the IT fields - covering at least some of the assignments listed in this position
• Genuine interest in IT processes & Knowledge management - and their practical application
• You are
• process-oriented, methodic, and enjoy keeping things well-organized
• enjoy being a facilitator, design solution in a collaborative manner
• a doer, proactive, looking to have an impact on the team

Nice to have

• Experience managing an ITSM platform and/or Project Management tool
• Experience with System Integration Mapping
• Interest in Automation and Generative AI
• Certification (ITIL, Project Management)

—

ITSM : Freshservice, ServiceNow, Jira Service Management…

Project Management : PMP, Prince 2…

#LI-Hybrid #LI-FR1

Dataiku Cloud provides a fully-managed offering for customers to use Dataiku. The team builds and maintains the infrastructure required to run the data science platform at scale in the cloud, as well as building tools for users to manage their instance with ease. We build the launchpad, a SaaS portal where users can create and access their Dataiku instances, configure the instance in as few clicks as possible and monitor its usage.

About the Role

We are looking for a hands-on Engineering Manager to build and guide a new squad within the Cloud Engineering team. You will take the lead of a team of engineers, collaborating closely with SRE, Product, and Ops/Analytics to align technical decisions with business value. Your focus will be on balancing leading from the front with team scalability, establishing engineering standards, and driving the delivery of Cloud features.

What You'll Do

• Technical Leadership: You will focus on high-leverage contributions: architecture design, complex code reviews, paying down technical debt, and prototyping. You ensure the technical implementations match our long-term vision and business goals.
   

• Team Building & Growth: You will handle recruitment, onboarding, and the career development of your team. You will be responsible for their performance reviews and growth plans.

• Active Technical Contribution: You will maintain a presence in the codebase by working on non-critical path features and chores. You ensure the team has the right technical foundation to move fast.

• Delivery Management: You will collaborate with Product to translate roadmaps into features, while consistently driving for an ambitious yet sustainable team velocity.

• Cross-Functional Influence: You will act as a key stakeholder in the Cloud organization, collaborating with SRE, Product, and other Engineering Managers to build the roadmap.

Who You Are

• Technical Leadership and Vision: You possess a good understanding of distributed systems (Python/K8s/Vue.js). You excel at breaking down product requirements into scalable technical plans. You can guide the team through complex architectural trade-offs.

• People Leadership: You have successfully mentored engineers and provided constructive feedback that helped others grow. You prioritize the team's collective success over your individual contributions.

• Organizational Awareness: You know how to navigate cross-team relationships to unblock your team. You frame technical decisions in terms of business value and are comfortable aligning your team’s roadmap with broader initiatives.

Technical Stack

• Core Backend: Python, PostgreSQL.

• Frontend: TypeScript, Vue.js.

• Infrastructure: Kubernetes (k8s), AWS.

• Observability: Grafana, Prometheus.

• Dataiku DSS: You will be orchestrating Dataiku DSS instances, so familiarity with data platforms is a plus.

#LI-AH1