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.

About the vacancy

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”.

Required Skills and Experience

• Solid experience with Cloud IaaS (primarily AWS, familiar with 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)
• Troubleshooting skills (Networking, Storage, Logs, Ticket/Bug Triage)
• Familiar in working with YAML, Python, and bash script files.
• Be able to communicate with teammates on regular basis
• Good spoken English

Additional Competencies

• Experience with Domino Labs would be a significant plus
• Experience with modern software components (Nginx, MongoDB, Postgres, Redis, ElasticSearch, RabbitMQ, JVM, Play).

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