Position: Senior DevOps Engineer, MLOps Platform
Company: DataArt
Category: DevOps
Experience required: 3y
English level: upper

The client is located in the United States and focused on machine learning ops. Our DevOps team will help the client with migration process including building of the process and conducting migrations, working with complex architecture and cool people. There is a wide technology stack, so you will need to work with many different technologies.

It's a good opportunity for you to develop you machine learning ops skills. We are actively developing ML expertise, thus you will have a room where to apply it in future.

We hire people not to a project, but to the company. If the project (or your work in it) is over, you go to another project or to a paid “Idle”.

Must have:

4+ years of DevOps experience
Expert with Cloud IaaS (primarily AWS; would be a plus Azure, GCP and on-prem)
Experience with containers and orchestration (Docker, Kubernetes, Helm)
Experience in installing and troubleshooting containerized applications on Kubernetes
Infrastructure and configuration automation (Terraform, or Cloud Formation)
Familiarity with the Linux ecosystem (Ubuntu, RHEL)
Strong troubleshooting skills (Networking, Storage, Logs, Ticket/Bug Triage)
Expert in working with YAML, Python, and bash script files.
Experience with modern software components (Nginx, MongoDB, Postgres, Redis, Elasticsearch, RabbitMQ, JVM, Play) several from the list
Excellent written and verbal communication skills
Good spoken English
Managing large scale deployments
Good self-management skills

Would be a plus:

Experience with Domino Labs would be a significant plus
Python development experience
Gitlab CI/CD background, Jenkins, Circle CI