Sr. DevOps Engineer/ArchitectDevOps engineer assisting Data Scientists to develop prediction pipelines, CICD pipelines, develop feature store (sage maker), shared notebooks, and developing AWS infrastructure space.Data Robot is their platform for model development and deployment. Needs to be maintained and developed.
Lots of room for improvement.Runs very much like a start-up. Their team members wear multiple hats and help each other as necessary. They use Agile method and Jira work management software.Ultimately looking for a very Sr.
DevOps Engineer/Architect that can not only assist with the Architectural Framework; help choose DevOps tools used in environment; but also, hands-on as well with the implementation (They will be collaborating with the Cloud Team).This candidate will also need to develop API to assist in connecting all of the applications. Let him know they candidates we have might also have a Software Engineer titles previously on their resumes with the API piece.What are the top 3 MUST HAVE technologies or Required experience of the position?Hands-On experience Migrating On-Premise Applications to AWSMust be able to write Python Code from Scratch and develop APIs (Have they written over 150 lines at one time of Python?)Must have worked in a Data Science/Machine Learning/AI Environment (They have hired in the past individuals without this skill set and didn’t work out)