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Job Required Experience:

10+ years of relevant experience as a technical professional, 5+ years of dedicated DevOps engineer experienceStrong experience with AWS, Glue, Lambda, S3, EC2, Azure DevOps toolProven working experience in a DevOps/SRE culture with observability & monitoringMust interface directly with Domino through APIs with python, using SageMaker for managing deploymentsUse statistical concepts such as regression, time series, mixed model, Bayesian methods, clustering, etc., to analyze data and provide insights when Data Science team needs additional supportResearching new ways to improve the performance of machine learning models.Working with other teams in the company to develop and implement new AI-based systems.Identifying and solving problems with existing AI models.Hands-on Development and Support experience with cloud native technologiesExtensive knowledge of Git Version Control with branching strategiesObject Oriented Design, API Driven with adhere to Design patterns, Microservices & Event Driven ArchitecturesExcellent Interpersonal and communication skills 

Plus (not required):

Terraform experienceKubernetes experienceCloud/ DevOps CertificationsExperience in regulated industry (Medical devices)Programming - Python or Java, Springboot or Micronaut Frameworks, CLI/SDK/CDK with multiple IDE'sExperience combine big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination