DevOps in AI projects Offline

We are actively seeking a versatile and skilled DevOps Engineer to join DataRoot Labs. In this role, you will play a pivotal part in enhancing the efficiency and reliability of our development AI and deployment processes across various projects. Your responsibilities will span from optimizing continuous integration/continuous deployment (CI/CD) pipelines to ensuring robust infrastructure and automation, contributing to the success of diverse projects within our organization.

Requirements

• 2+ years as a DevOps;

• Experience with docker orchestration (Kubernetes).

• Experience with modern CI/CD tools (AWS CodeBuild, GCP CloudBuild, GitHub Actions).

• Experience implementing Infrastructure as a Code approach with Terraform.

• Experience with cloud providers: GCP, AWS, DigitalOcean;

• Good written and spoken English, at least Upper-Intermediate level.

• Experience with ML infrastructures will be a plus

Responsibilities

• Create infrastructure from scratch for ML projects;

• Manage, maintain, and upgrade existing infrastructures;

• Communicate with the client, understand his needs, and propose solutions;

• Monitor pricing and reduce infrastructure costs;

• Write documentation, and transfer knowledge to other team members;

Benefits

• Startup culture, a strong product-oriented team that consists of Senior specialists.

• Opportunity to leverage your engineering skills for fellow engineers and shape the future of data engineering.

• Working with the newest technical equipment (MacBook Pro 16″).

• 20 working days of annual vacation leave.

• English courses, educational events & conferences are covered by the company upon request.

• Premium medical insurance covered by the company.