Senior Infrastructure Engineer, Dataiku

Salary not provided
AWS
Kubernetes
GCP
Python
Linux
Terraform
Ansible
Azure
Puppet
Chef
RDS
Keep
Senior level
Remote in France
Paris
Dataiku

Collaborative data science platform

Job no longer available

Dataiku

Collaborative data science 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
Remote in France
Paris

1001+ employees

B2BArtificial IntelligenceEnterpriseAnalyticsMachine LearningSaaSData Analysis

Company mission

To enable all people throughout companies around the world to use data by removing friction surrounding data access, cleaning, modeling, deployment, and more.

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 headshot

Steph

Company Specialist

Insights

Top investors

Some candidates hear
back within 2 weeks

39% female employees

9% employee growth in 12 months

Company

Funding (last 2 of 8 rounds)

Dec 2022

$200m

SERIES F

Aug 2021

$400m

SERIES E

Total funding: $846.5m

Company benefits

  • Our flexibility benefits include: ➔ Time off for R&R & Wedding time off ➔ Public holidays specific to your location ➔ A policy, unique to each team, that clarifies the status of each Dataiker based on preferred working styles: Office, Flex, SuperFlex, and Remote ➔ A work from 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. Weʼve 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
  • Oppurtunities to grow: ➔ Attend weekly universities with internal and external speakers ➔ Grow their expertise with our dedicated sales, tech, and management enablement programs
  • ➔ Weʼre one team, all shareholders. We offer equity to all employees
  • ➔ Onsite meals and healthy snacks
  • ➔ Technology stipend for WFH such as mobile, internet, and equipment reimbursement
  • ➔ We regularly organise office happy hours in offices and virtual

Company values

  • Diversity of People and Perspective - We mix people and perspectives to shape the future of data and AI in a responsible way
  • Tolerance & Open-Mindedness - We embrace differences and new ideas and fight against racism and bias
  • Accountable Camaraderie - We think, act, and celebrate as a team, trusting and supporting each other regardless of function
  • Work-Life Balance - We respect each person’s way of finding balance, providing flexibility and counting progress, not hours
  • Dedication To Learning - We geek out with new technologies, learn from others everyday, 
and grow ourselves by helping others grow
  • Conscious Long-Term Responsibility - We strive to maximize our positive impact on the world - through our products and beyond, for today and tomorrow.

Company HQ

Flatiron District, New York, NY

Leadership

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.

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

Salary benchmarks

We don't have enough data yet to provide salary benchmarks for this role.

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Diversity & Inclusion at Dataiku

Laurie du Boullay (Head of Culture)

  • Building AI that benefits everyone starts with diversity and inclusion in the office. We believe that a blend of experiences and perspectives creates the best performing teams and enables us to build software shaping the future of data & AI in a way which is fair and diverse, for people and the planet.

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