Senior Infrastructure Engineer, Dataiku

Salary not provided

AWS

Kubernetes

GCP

Python

Linux

Terraform

Ansible

Azure

Puppet

Chef

RDS

Keep

Senior level

Paris

Remote from France

Dataiku is The Universal AI Platform™

Job no longer available

Dataiku is The Universal AI Platform™

1001+ employees

B2BArtificial IntelligenceEnterpriseAnalyticsMachine LearningSaaSData Analysis

Job no longer available

Salary not provided

AWS

Kubernetes

GCP

Python

Linux

Terraform

Ansible

Azure

Puppet

Chef

RDS

Keep

Senior level

Paris

Remote from France

1001+ employees

B2BArtificial IntelligenceEnterpriseAnalyticsMachine LearningSaaSData Analysis

Company mission

Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.

Job

Company

Role

Who you are

Experience with at least one configuration management tool, Chef, Ansible, Puppet, SaltStack…
Experience running production load on AWS. Including monitoring, high availability designs, and services such as lambda, RDS, Load balancing, CDN, VPC …
Experience in designing CI/CD pipelines to save engineering time and increase deployment reliability
You have worked in environments where automation is key
You have some knowledge of application development, ideally in Python
You like solving technical problems and are curious about how things work
You care about documenting the solutions you implement and monitoring their health by creating and maintaining actionable alerts
You don't hesitate to ask questions when you don't know, and you treat your colleagues with respect, kindness, and transparency

Desirable

Experience working in highly technical teams (e.g., platform teams, AI/ML, back-end software engineering, etc.)

What the job involves

We are looking for talented engineers to design, scale, and maintain our internal and customer-facing infrastructures to reach this goal. Our current technical stack mainly runs on AWS with some Azure and GCP bits. Our principal tools are Terraform, Kubernetes, and Python
Design, scale, and maintain our configuration management stack
Maintain our multi-cloud Infrastructure as a Code repository to keep our fleet monitored, up-to-date, available, and secure
Add high-availability services, increase observability, and build self-healing mechanisms to support the management of our Kubernetes clusters
Expand and maintain our CI/CD pipelines to deploy our customer-facing applications and artifacts automatically and safely, as well as our internal applications
Improve the monitoring we have in place by scaling the current infrastructure, collecting missing metrics and instrumenting our code base
Developing automation tools to help us scale the infrastructure without scaling the various teams. Specifically to propagate user identities and manage our Cloud resources
Provide Cloud security best practices to keep our infrastructure secure and resilient

Application process

Initial call with a member of our Tech Recruiting team
Video call with our Cloud Infrastructure Architect
Technical Home Test Assessment to show your skills
Final Interviews with our Director and VP of Infrastructure

Our take

Dataiku was founded on the principle that companies must use data to continuously innovate to succeed in a rapidly evolving ecosystem. As a centralised data platform, Dataiku guides businesses from analytics at scale to enterprise AI. It provides a common ground for data experts and explorers, offering best practices, shortcuts to AI deployment, and a controlled environment.

Customers like Unilever, GE, and Comcast use Dataiku to accelerate growth and innovation by removing roadblocks and enabling faster, smarter work. Despite substantial funding in 2023, Dataiku faced a 20% lower valuation than in 2021, indicating challenges even for successful tech firms. Nonetheless, Dataiku launched its Dataiku 11 platform in 2022, continuing to enhance its offerings.

In 2024, Dataiku announced a strategic alliance with Teragonia, a leading provider of AI solutions for private equity portfolio value creation. This collaboration leverages Dataiku's AI capabilities to enhance Teragonia's real-time analytics and strategic agility, aiming to accelerate revenue growth and profitability for clients. This partnership reflects Teragonia's trust in Dataiku's technology and underscores the platform's ability to democratise data and empower private equity firms to unlock significant value.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

39% female employees

9% employee growth in 12 months

Glassdoor (3.6)

Company

Funding (last 2 of 8 rounds)

Dec 2022

$200m

SERIES F

Aug 2021

$400m

SERIES E

Total funding: $847.3m

Company benefits

Our flexibility benefits include: ➔ Time off for R&R & Wedding time off ➔ Public holidays specific to your location ➔ For most teams, a hybrid work policy, which allows each Dataiker to spend as few as one and as many as five days a week in the office. ➔ A work from almost anywhere policy that allows employees to work from their place of choice up to four weeks per year.
Family benefits: ➔ 12 weeks of paid parental leave within the first year of birth/adoption
Building and supporting our community is at the heart of our values. We've developed our Ikigai.AI program (AI for good) to support the community and encourage our employees to give back to the causes they care about. We offer: ➔ Volunteering opportunities coordinated by our social responsibility team ➔ Additional paid time off to volunteer
➔ Technology stipend for WFH such as mobile, internet, and equipment reimbursement
➔ We regularly organise office happy hours in offices and virtual

Company HQ

125 West 25th Street, 7th Floor, New York, NY 10001, USA

Leadership

Clément Stenac

(CTO)

Previously worked at Exalead for 6 years, first as Software engineer for 3 years and then as Software Architect and Manager also for 3 years.

Florian Douetteau

(CEO)

Previously worked at Exalead for 11 years, holding various positions such as Director - Advanced Development, VP - Research and Technology and VP - Product Management.

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