Sr DevOps Engineer

• 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
• 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.
• 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

Plus (not required):

• 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