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AI based Pharmaceutical Drug Discovery Company - DevOps engineer

Job Number:
J0822-0020
Job Type:
Full Time
Job Category:
Information Technology
Location:
Montreal, Quebec
Salary:
Open

AI based Pharmaceutical Drug Discovery Company - DevOps engineer

This is a leading company in artificial intelligence for drug discovery that has launched multiple software products, including target identification platform, and automated drug discovery platform. We are looking for an Application Scientist with project management skills to join the team focused on the automated drug discovery platform. You will work with product teams as well as top AI scientists in this field. This company focuses on AI-assisted systems that can identify novel drug targets for untreated diseases, assist in the development of new treatments and eventually predict how well those treatments may perform in clinical trials. It was ranked Top 5 AI companies in its potential for social impact according to NVIDIA and in 2018, the company was named one of the global top 100 AI companies by CB Insights. They are growing their team in Canada and are looking for people who want to be part of this journey.
This person will be working on a commercially available software platform for the de novo design of small molecules that integrates generative chemistry and deep reinforcement learning with medicinal and computational chemistry methods. Our proprietary methods and algorithms have been published and patented.

Title: DevOps Engineer
Address: can be 100% remote. Office located in downtown Montreal, 1215 Boulevard René-Lévesque. Preferable likes candidates willing to come into office on occasion but not required.
Type: Full time and permanent
Salary: very open but somewhere around range 120-150k + bonus + Benefits + 3-4 weeks’ vacation

Responsibilities:
Application Infrastructure:
• Automate AWS and Azure infrastructure deployment with Terraform
• Develop cloud architecture of the application, improvement of scalability and stability
• Improve CI/CD pipelines, minimize build and deployment time
• Advice on application security best practices
• Work closely with the development teams on the architecture

Clients:
• Deploy the application to the clients' cloud or help the clients deploy the application
• Troubleshoot clients' infrastructure issues

Requirements:
• Experience with AWS infrastructure (VPC, EC2, EKS, Route53, ALB, ...). AWS Certified Solutions Architect Associate or Professional would be beneficial
• Experience with Azure infrastructure would be beneficial.
• Experience with Terraform
• Experience with Docker, Kubernetes, Helm
• Experience with ELK

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