Dataiku

Senior Infrastructure Engineer

France

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI Platform, Data & Analytics, Cloud ComputingIndustries

Job Description

Position Overview:

Dataiku is seeking highly motivated engineers to design, scale, and maintain its internal and customer-facing infrastructures. The role involves updating, scaling, and maintaining configuration management, multi-Cloud Infrastructure as Code, and Kubernetes clusters. Additionally, responsibilities include expanding CI/CD pipelines, improving monitoring and alerting, developing automation tools for scaling, and applying cloud security best practices.

Company: Dataiku is The Universal AI Platform™, empowering organizations to control their AI talent, processes, and technologies. Dataiku offers no-, low-, and full-code capabilities to enable teams to build with AI using their existing skills.

Mission: To enable customers to bring large-scale data analytics and AI technologies into a centralized and easy-to-use platform.

Technical Stack: Primarily AWS, with some Azure and GCP. Key tools include Terraform, Ansible, Kubernetes, and Python.

Expected Outcomes:

  • Update, scale, and maintain the configuration management stack.
  • Update and maintain the multi-Cloud Infrastructure as Code repository for monitoring, reliability, and security.
  • Update, scale, and maintain Kubernetes clusters, including high availability, monitoring, and self-healing mechanisms.
  • Expand and maintain CI/CD pipelines for safe and automated deployment of applications and artifacts.
  • Improve existing monitoring by scaling infrastructure, collecting metrics, and managing the alerting pipeline.
  • Develop automation tools to scale infrastructure and manage user identities, access control, and cloud resources.
  • Apply Cloud security best practices to ensure infrastructure security and resilience.

Requirements:

  • Experience with at least one configuration management tool (Chef, Ansible, Puppet, SaltStack).
  • Experience with Terraform for managing Cloud resources.
  • Familiarity with UNIX-like systems, troubleshooting, and shell scripting.
  • Production load experience on AWS, including monitoring, high availability designs, and services like Lambda, RDS, Load Balancing, CDN, VPC.
  • Experience designing CI/CD pipelines for efficiency and reliability.
  • Experience in environments where automation is key.
  • Knowledge of application development, ideally in Python.
  • Strong problem-solving skills and curiosity about underlying mechanisms.
  • Commitment to documenting solutions and monitoring their health with actionable alerts.
  • Proactive in asking questions and treating colleagues with respect, kindness, and transparency.

Bonus Skills:

  • Knowledge of the Grafana Labs monitoring stack.
  • Knowledge of Web applications designs.
  • Experience with Golang and JavaScript/TypeScript.

Company Culture & Values:

  • Part of a journey to shape the AI world.
  • Emphasis on innovation, collaboration, and personal growth.
  • Practices rooted in dignity, decency, and fairness.
  • Belief that diverse identity is a source of strength.
  • Proudly an equal opportunity employer.
  • Employment practices based on business needs, without regard to race.

Location Type: #LI-Hybrid

Employment Type:

Salary:

Skills

Infrastructure as Code
AWS
Azure
GCP
Terraform
Ansible
Kubernetes
Python
CI/CD
Monitoring
Automation
Cloud Security
Chef
Puppet
SaltStack

Dataiku

AI solutions for operationalizing business processes

About Dataiku

Dataiku develops AI solutions aimed at integrating artificial intelligence into everyday business operations. Their products focus on operationalizing AI, which helps businesses enhance their processes and outcomes. Key offerings include Generative AI, which creates new content or predictions, and MLOps, which facilitates collaboration between data scientists and operations teams to manage the machine learning lifecycle. Dataiku's solutions have proven effective, as demonstrated by their work with a retail client that improved forecast runtime by 900% with high accuracy. The company generates revenue by providing these AI solutions and has a partnership with AWS, enhancing their service offerings and scalability for clients.

New York City, New YorkHeadquarters
2013Year Founded
$823.3MTotal Funding
SERIES_FCompany Stage
Data & Analytics, AI & Machine LearningIndustries
1,001-5,000Employees

Benefits

Health, life & pension benefits
Equity
Time off for R&R
Public holidays
Work from anywhere policy (unique to team)
12 weeks of paid parental leave
Volunteering opportunities
Career Development opportunities
Technology stipend
Onsite meals & healthy snacks
Office happy hours
Company-wide events

Risks

Competition from AI platforms like Databricks may impact Dataiku's market share.
High costs of generative AI initiatives could strain client budgets.
Reliance on partnerships poses risks if collaborations face challenges.

Differentiation

Dataiku offers a centralized platform for enterprise AI and data analytics.
The company integrates with AWS, enhancing connectivity and scalability for clients.
Dataiku's LLM Guard Services ensure controlled Generative AI rollouts.

Upsides

Dataiku's partnership with Rower Consulting expands its reach in the pharmaceutical sector.
Recognition in Gartner's Magic Quadrant boosts Dataiku's credibility in AI solutions.
Dataiku Stories enhances user engagement with Generative AI-powered presentations.

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