- Location
- Toronto
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Education
- Bachelor
- Source
- RecruiterFlow
Description
The client is a digital healthcare start-up on a mission to transform hospital care with AI. Their solution provides rigorous AI governance, continuous measurement, and efficient deployment to give health system leaders visibility and control. Purpose-built for healthcare and informed by years of experience managing AI at scale in other industries, the client empowers healthcare organizations to translate innovation into real clinical, operational, and financial outcomes.
As a Senior Cloud Infrastructure Engineer, you'll play an essential role in making sure our healthcare AI solutions work reliably and securely on the Azure cloud-based infrastructure.
Client has a hybrid office arrangement. You will be required to come into the office in downtown Toronto (walking distance from Bay Station) once a week, on Wednesdays.
What You'll Do:
• Design and implement stable Azure-based infrastructure for our services
• Create automation tools for deployment and system monitoring
• Work with development and data science teams to improve delivery processes
• Apply security standards and compliance requirements
• Resolve complex technical issues to maintain reliable system operation
• Establish effective backup and recovery procedures
• Research and integrate useful technologies to improve our platform
• Communicate with healthcare clients to support their technical needs
• Share on-call responsibilities for system support
What You'll Need:
• 5+ years of relevant Cloud or DevOps experience
• Strong experience with at least one major cloud platform (AWS, Azure, GCP). Azure experience is a plus.
• Experience with Kubernetes, Istio service mesh and Helm
• Ability to write effective Python and Bash scripts
• Knowledge of infrastructure-as-code using Terraform and Terragrunt
• Experience implementing continuous integration with GitHub Actions
• Ability to troubleshooting and resolve complex issues
• Familiarity with monitoring tools like Azure Monitor and Datadog
• Bachelor's degree in Computer Science or comparable experience
Bonus Qualifications:
• Familiarity with compliance frameworks (HIPAA, SOC2)
• Background supporting machine learning applications in production
• Previous work in healthcare technology
Benefits:
- Competitive compensation and stock options
- Entrepreneurial and energetic culture
- Excellent health and extended health coverage
- Four weeks of paid vacation
- Building impactful AI products and services that will transform hospital care!