Site Reliability Engineer Intern at Dataiku

Paris, Ile-de-France, France -

Full Time

Start Date

Immediate

Expiry Date

28 Jan, 26

Salary

0.0

Posted On

30 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Kubernetes, AWS, Azure, Grafana, ArgoCD, Github Actions, Terraform, AI, Machine Learning

Industry

Software Development

Description

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. Internship goal Enhance the infrastructure and the continuous Integration pipelines of our Cloud Platform and help with the automation process within our Site Reliability Engineering team. Detailed description Dataiku Cloud is the SaaS offering of the Dataiku company specialized in AI and Machine Learning. The SRE team is in charge of the reliability and the performance of our infrastructure and the releases of the platform. The goal of the internship is to be integrated in one of the SRE teams and work on multiple domains of a modern SRE stack: CI/CD pipeline, Infrastructure as Code, Security, Monitoring, … At the beginning of the internship, an onboarding phase with the SREs will let you learn about major tools used in the cloud industry, including Kubernetes, AWS, Grafana, Github Actions, Docker … Under the supervision and with the support of your tutor, you will directly collaborate with other SRE team members and developers. You will work from our Paris or Nantes offices and have the opportunity to meet all other Dataiku teams. You’ll be an integral part of our team. Responsibilities Collaborate with the SRE team to improve and optimize the CI/CD pipeline Leverage Kubernetes to build and test images in-cluster Automate our infrastructure processes Work on reliability and scalability processes Define metrics and build monitoring dashboards Stack Kubernetes AWS / Azure Grafana ArgoCD Github Actions Terraform AI / machine learning What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

Responsibilities

Collaborate with the SRE team to improve and optimize the CI/CD pipeline and automate infrastructure processes. Work on reliability and scalability processes while defining metrics and building monitoring dashboards.