- Toronto, Ontario, Canada
- Hybrid
- Full-time · Senior
- CA$152K–CA$228K per year
- 5+ years
Design, build, and maintain cloud-native infrastructure, microservices, and APIs that support scalable AI model deployment and integrate with DICOM, HL7/FHIR, EHR, and radiology systems.
Compensation
The salary range for this position is CAD $152,000 - CAD $228,000. Final determinations may vary based on several factors including but not limited to education, work experience, certifications, geographic location etc. This role is also eligible for an annual discretionary bonus.
Responsibilities
- Design, build, and maintain cloud-native infrastructure, microservices, and APIs
- Partner with Data Science and AI teams to develop, optimize, and productionize end-to-end data and machine learning pipelines
- Establish and champion engineering best practices across AI-assisted development, code quality, testing, CI/CD, observability, documentation, and healthcare compliance requirements
- Lead technical execution through code reviews, architectural guidance, troubleshooting, production monitoring, and mentoring of software engineers
- Collaborate with product managers, clinical stakeholders, and cross-functional teams to deliver solutions that improve clinical workflows, operational efficiency, and patient care outcomes
Requirements
- Bachelor’s degree in Computer Science, Software / Data Engineering, or related field
- Nice to have: AI model integration
- Nice to have: GitHub Copilot
- Nice to have: Claude