McGill University
Genomics
CloudInfrastructureDeveloper
Neural analysis suggests this role is
optimal for Senior candidates.
“Cloud Infrastructure Developer at McGill University. Skills: Kubernetes infrastructure, Infrastructure as code, DevOps practices. Deploy Kubernetes clusters. Manage Kubernetes clusters”
What You'll Achieve.
Ensure high availability; Ensure reproducibility; Ensure compliance with data governance requirements; Continuously improve reliability
Industry & Context.
Proactively surface risks; Troubleshooting
Authorized to work in Canada, Willing to work in Quebec
What They're Looking For.
Must Have
5 years related experience, Demonstrated hands-on experience administering Kubernetes clusters in production environments, Undergraduate degree in computer science, engineering, systems administration, or a related field
Nice to Have
Experience operating clusters in sensitive or regulated data environments, Familiarity with OpenStack or similar institutional/private cloud platforms, Experience with secrets management tooling (e.g. Vault or equivalent), Experience with server-side programming, e.g. Python or Bash, for automation and tooling, Interest in the field of genetics and bioinformatics, English and French (spoken and written)
What You'll Do.
Deploy Kubernetes clusters
Manage Kubernetes clusters
Secure Kubernetes clusters
Evolve Kubernetes clusters
Manage day-to-day operations of production
Perform capacity planning
Manage node management
Conduct incident response
Design infrastructure-as-code for cluster provisioning
Implement infrastructure-as-code for cluster configuration
Define network policies
Enforce network policies
Implement security hardening practices
Manage storage solutions for genomic data
Provision persistent volumes
Develop backup strategies
Develop disaster recovery strategies
Define data retention policies
Build CI/CD pipelines
Maintain CI/CD pipelines
Build GitOps pipelines
Maintain GitOps pipelines
Monitor cluster health
Conduct post-mortems on incidents
Maintain operational documentation
Contribute to team knowledge of infrastructure best practices
Use issue tracking system to document tasks
Use issue tracking system to document incidents
Use issue tracking system to document resolution status
How You'll Work.
Team & Collaboration
Close collaboration with SD4H DevOps team; Coordination on infrastructure provisioning; Coordination on network configuration; Coordination on cloud resource management; Collaboration with development team; Team context
Communication Scope
Technical judgment clearly
Process & Methodology
Issue tracking
Full Job Description
**Please refer to the[How to Apply for a Job (for External Candidates)](https://www.mcgill.ca/hr/files/hr/apply_at_mcgill_university_-_guide_for_external_candidates_en.pdf) job aid for instructions on how to apply.** **If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).** **Position Summary:** The Canadian Centre for Computational Genomics (C3G) at McGill University builds open-source Research Data Management (RDM) solutions that support every stage of the genomics and health data lifecycle. Our portals, APIs, databases and tools are the infrastructure behind national genomics and health data sharing in Canada. Our projects include: * [The Pan-Canadian Genome Library (PCGL)](https://genomelibrary.ca/) * [The Terry Fox Marathon of Hope Cancer Centre Network (MoHCCN)](https://www.marathonofhopecancercentres.ca/) * [The International Human Epigenome Consortium (IHEC)](https://epigenomesportal.ca/ihec/) * [The Quebec COVID-19 Biobank (BQC19)](https://bqc19.bento.sd4h.ca/en/) We also provide bioinformatics analysis software and high-performance computing services to the life sciences research community, including widely used analysis pipelines. A **Cloud Infrastructure Developer** will manage and evolve the Kubernetes infrastructure powering the Pan-Canadian Genome Library (), Canada's national genomics data platform. The PCGL platform encompasses a Research Portal, a Data Access Committee (DACO) portal, a clinical and genomic data submission service, and supporting data infrastructure. All of this runs on an institutional cloud environment and serves researchers, clinicians, and data managers across Canada. This infrastructure handles sensitive genomic data where reliability, security, and compliance are non-negotiable. The incumbent will have signific
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