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Infrastructure Engineer

About Us

Novel therapeutics require novel methods.

ProteinQure is building a next-generation platform for the design of protein therapeutics. We partner with industry leaders in biologics drug discovery to generate novel therapeutics outside the scope of conventional procedures. Our expertise in molecular modelling, bioanalytical experiments and machine learning enables us to search across vast spaces of therapeutics, and optimize lead candidates for desired properties using a scalable computing infrastructure.

To do that, we’ve built a team defined by courage and determination. It doesn't matter whether you are inventing novel machine learning techniques, reimagining life science partnerships or designing cutting edge experiments; working with us involves having the courage to reinvent the status quo and the determination to see it through.

About You

We're looking for a Infrastructure Engineer to join our team in Toronto, Canada. You’re a scientist or engineer driven to confront challenging unsolved problems by leveraging the world’s most cutting-edge technologies. You excel in fast-paced environments. You are interested in exploring how to integrate human expertise and computational tools to design new chemical entities.


  • Development of pipelines for provisioning and auto-scaling of the Kubernetes-based compute infrastructure
  • Ensure uptime and availability of key internal production systems and supporting infrastructure
  • Monitor system performance and log data
  • Provide guidance and evangelism on how best to make use of cloud infrastructure to support company growth

Nice to haves:

  • Experience with integrated platform monitoring tools (Datadog, New-relic)
  • Experience with working on large-scale distributed systems
  • Previous experience with working at a small startup (<30-50 people)


  • 3-5 years of professional infrastructure / devops / software engineering experience
  • High proficiency with system administration of (preferably RHEL-based) Linux systems
  • Experience with at least one of the major cloud infrastructure backends (AWS, Google Cloud Platform, Azure)
  • Expertise in setup, deployment and management of systems provisioning and configuration management frameworks such as Puppet, Chef, Terraform, or Ansible


  • A competitive mix of equity and salary
  • Unlimited vacation
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