Senior Full Stack Developer; Hybrid | CAD

Mosaic Clinical Technologies (Canada), Inc. is pioneering a new imaging paradigm—shifting radiology from reactive diagnostics to proactive, decision-driven care. Through our AI-native platform, MosaicOS™, we unite fragmented technologies into a single, intelligent ecosystem designed to help clinical teams work faster, think smarter and deliver better care.

Built cloud-native and designed for continuous iteration, MosaicOS™ is engineered to solve the industry’s most pressing challenges. Our platform expands clinical capacity, improves diagnostic quality by combining human expertise with AI, and turns operational complexity into strategic advantage through seamless integration or replacement of legacy imaging systems.

Every AI tool within MosaicOS™ is validated across tens of millions of exams to ensure safe, reliable and meaningful clinical impact. With a ransomware-resistant design and built-in redundancy, our platform is designed to ensure continuity of care and protect both patients and operations.

Mosaic Clinical Technologies (Canada), Inc.™ is building technology that evolves with clinicians to advance clinical excellence and improve patient outcomes. If you’re passionate about shaping the future of medical imaging, join us!

• 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.
• Partner with Data Science and AI teams to develop, optimize, and product ionize end-to-end data and machine learning pipelines from research through clinical deployment.
• 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.
• Drive continuous improvement of deployed AI systems through enhanced testability, monitoring, traceability, agile development practices, and occasional international travel for workshops, training, and support.
• Toronto, Ontario hybrid role; occasional international travel may be required for onsite workshops, training, or support.

• Authorized to work in Canada - Hybrid position in Toronto, Canada.
• Bachelor’s degree (or equivalent experience) in Computer Science, Software / Data Engineering, or related field, Graduate degree preferred
• 5+ years of professional software development experience, with exposure to product or platform delivery; strong proficiency in backend development using C# and the latest .NET Core frameworks, this role is weighted toward back end work.
• Strong experience building and deploying cloud-native applications on AWS (Lambda, Sage Maker, Bedrock, API Gateway, Aurora, IAM, VPC), leveraging Terraform, CI/CD automation, and observability best practices.
• Proficiency in designing scalable microservices, REST APIs, PostgreSQL-based solutions, and integrations with healthcare systems using DICOM, HL7/FHIR, while ensuring HIPAA and SOC 2 compliance.
• Hands-on experience integrating AI models into production environments, utilizing AI-assisted development tools (Git Hub Copilot, Claude), and collaborating effectively with both technical and non-technical stakeholders in agile teams.

• Competitive Benefits package – Eligibility starts the month after hire, with tiered options to choose from.
• Flexible Remote Schedules
• Gen…