Deep Genomics is revolutionizing drug discovery through their innovative AI platform that specializes in decoding RNA biology. As a Senior DevOps Engineer, you'll be at the intersection of cutting-edge technology and biotechnology, working from their locations in Toronto and Cambridge, MA. The role demands expertise in managing sophisticated infrastructure for both cloud and on-premises environments, with a focus on supporting ML workloads and data pipelines.
You'll be responsible for building and maintaining the critical infrastructure that powers their AI-driven drug discovery platform. This includes working with containerization technologies, implementing security best practices, and ensuring smooth CI/CD operations. The position requires strong collaboration with cross-functional teams spanning engineering, machine learning, and biology.
The ideal candidate brings 5+ years of DevOps experience and deep technical knowledge in modern infrastructure tools like Kubernetes, Terraform, and various ML platforms. You'll have the opportunity to mentor team members while working on challenging problems in a regulated environment that demands high security and reliability standards.
Deep Genomics offers an attractive compensation package including equity, comprehensive benefits, and a flexible work environment. The company's location in Toronto's AI hub and Cambridge's biotech center provides unique opportunities for professional growth. Their commitment to work-life balance is evident through policies like unlimited personal days and extended weekends.
This role is perfect for a DevOps professional who wants to apply their skills to meaningful work in drug discovery while working with cutting-edge AI technology. You'll be part of a multidisciplinary team that's pushing the boundaries of how we discover and develop new medicines, making a real impact on healthcare through technology.