Sr DevOps Engineer

Responsibilities

Must interface directly with Domino through APIs with python, using SageMaker for managing deployments; Use 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 support; Researching 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

Requirements

10+ years of relevant experience as a technical professional, 5+ years of dedicated DevOps engineer experience; Strong experience with AWS, Glue, Lambda, S3, EC2, Azure DevOps tool; Proven working experience in a DevOps/SRE culture with observability & monitoring; Hands-on Development and Support experience with cloud native technologies; Extensive knowledge of Git Version Control with branching strategies; Object Oriented Design, API Driven with adhere to Design patterns, Microservices & Event Driven Architectures; Excellent Interpersonal and communication skills

Nice to have

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