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Deep Genomics is hiring a

Senior Infrastructure Engineer

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Toronto, Ontario
Posted 7 hours ago
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Job Description

About Us
Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our cutting-edge AI platform decodes the complexity of RNA biology to identify novel drug targets, mechanisms, and therapeutics inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created.

About the Role
As a Senior Infrastructure Engineer, you will play a key role in building, scaling, and optimizing the infrastructure and tooling that empowers our diverse scientific and engineering teams. You will enable seamless development of our sophisticated ML models, software applications, and data pipelines. Through close collaboration with teams across engineering, machine learning, and biology, you’ll help push the boundaries of drug discovery through thoughtfully engineered systems.

Key Responsibilities
  • Manage infrastructure for software, data, and ML platforms, both in the cloud and our on-premises GPU clusters.
  • Design and implement integrations between infrastructure components (containing internal and 3rd party systems) to ensure seamless flow of data in a robust, reliable, and secure manner.
  • Streamline and/or automate operational tasks such as infrastructure provisioning, configuration management, and application deployment.
  • Implement and manage robust monitoring, logging, and alerting for key infrastructure components.
  • Collaborate closely with engineers, scientists, security, and compliance teams to implement and promote DevSecOps principles across the organization.

  • Basic Qualifications
  • 5+ years of experience working as an Infrastructure Engineer, DevOps/MLOps Engineer, or SRE.
  • Proficient in architecting and managing infrastructure using Infrastructure as Code tools (e.g. Terraform and Helm).
  • Deep expertise in containerization and orchestration technologies like Docker and Kubernetes.
  • Strong understanding of identity management and security best practices.
  • Extensive experience designing, implementing, and maintaining CI/CD pipelines (e.g. CircleCI).
  • Demonstrated experience with mentoring and elevating other team members' skills to adhere to engineering and DevOps best practices.

  • Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

    Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.
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