Site Reliability Engineer Intern (AI/Machine Learning)

TL;DR

Site Reliability Engineer Intern (AI/Machine Learning): Enhance the infrastructure and continuous Integration pipelines of the Cloud Platform, focusing on the automation process within the Site Reliability Engineering team. Focus on learning about major tools used in the cloud industry, including Kubernetes, AWS, Grafana, Github Actions, and Docker.

Location: Work from our Paris or Nantes offices.

Company

hirify.global is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents.

What you will do

• Collaborate with the SRE team to improve and optimize the CI/CD pipeline.
• Leverage Kubernetes to build and test images in-cluster.
• Automate infrastructure processes.
• Work on reliability and scalability processes.
• Define metrics and build monitoring dashboards.

Requirements

• Experience with Kubernetes.
• Familiarity with AWS / Azure.
• Knowledge of Grafana.
• Experience with ArgoCD.
• Knowledge of Github Actions.

Culture & Benefits

• Be part of a journey to shape the ever-evolving world of AI.
• Make a significant impact in a company that values innovation, collaboration, and personal growth.
• Practices are rooted in the idea that everyone should be treated with dignity, decency and fairness.
• Diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success.