Dataiku

Senior Infrastructure Engineer

Germany

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

Job Description

Salary: Not Specified Location Type: Not Specified Employment Type: Not Specified

Position Overview

Dataiku is seeking highly motivated engineers to design, scale, and maintain its internal and customer-facing infrastructures. The company's mission is to enable customers to bring large-scale data analytics and AI technologies into a centralized and easy-to-use platform. The current technical stack primarily runs on AWS, with some Azure and GCP components, utilizing tools like Terraform, Ansible, Kubernetes, and Python.

Responsibilities

  • Update, scale, and maintain the configuration management stack.
  • Update and maintain the multi-Cloud Infrastructure as Code repository to ensure the fleet is monitored, up-to-date, reliable, and secure.
  • Update, scale, and maintain Kubernetes clusters, including adding high availability services, monitoring, and building self-healing mechanisms.
  • Expand and maintain CI/CD pipelines for automatic and safe deployment of customer-facing and internal applications, as well as artifacts.
  • Improve existing monitoring by scaling infrastructure, collecting additional metrics, and managing the alerting pipeline.
  • Develop automation tools to scale infrastructure efficiently, focusing on propagating user identities, access control, and better management of Cloud resources.
  • Apply Cloud security best practices to ensure infrastructure security and resilience.

Requirements

  • Experience with at least one configuration management tool (e.g., Chef, Ansible, Puppet, SaltStack).
  • Experience with Terraform for managing Cloud resources.
  • Familiarity with UNIX-like systems, including troubleshooting experience and shell scripting knowledge.
  • Experience running production loads on AWS, including monitoring, high availability designs, and services like Lambda, RDS, Load Balancing, CDN, and VPC.
  • Experience designing CI/CD pipelines to optimize engineering time and increase deployment reliability.
  • Experience working in automation-centric environments.
  • Knowledge of application development, preferably in Python.
  • A passion for solving technical problems and understanding how things work at a fundamental level.
  • Commitment to documenting implemented solutions and monitoring their health through actionable alerts.
  • A proactive approach to asking questions and treating colleagues with respect, kindness, and transparency.

Bonus Skills

  • Knowledge of the Grafana Labs monitoring stack.
  • Knowledge of Web application designs.
  • Some experience with Golang and JavaScript/TypeScript languages.

Company Information

At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. The company is building the future of AI and values innovation, collaboration, and personal growth. Dataiku is an equal opportunity employer committed to treating everyone with dignity, decency, and fairness. The company believes that a diverse identity is a source of strength and optimizes across many dimensions for success. All employment practices are based on business needs, without regard to race.

For more information about working at Dataiku, please visit the Dataiku LinkedIn page.

Skills

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

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.

Land your dream remote job 3x faster with AI