Job description

Key Responsibilities: - Lead engineering teams focused on nursing support domains, including clinical workflows, documentation, and care coordination. - Champion the adoption of AI/ML technologies to enhance product capabilities and engineering efficiency. - Drive architectural modernization efforts, including cloud-native transformation and technical debt remediation. - Collaborate cross-functionally with product, design, SRE, and compliance teams to deliver secure and reliable software. - Establish and monitor engineering KPIs related to velocity, quality, and system reliability. - Foster a culture of innovation, accountability, and continuous improvement. - Mentor and grow engineering managers and senior technical talent. Qualifications: - 10+ years of software engineering experience, including 3+ years in a senior leadership role. - Proven success in leading engineering teams in healthcare, clinical, or similarly regulated environments. - Expertise in cloud-native architectures, microservices, and secure development practices. - Demonstrated experience applying AI/ML to real-world engineering problems. - Strong track record of managing technical debt and modernizing legacy systems. - Excellent communication and stakeholder management skills. Preferred Experience: - Experience with AI platforms such as Azure AI, OpenAI, or equivalent. - Familiarity with LLMs, predictive analytics, or generative AI in production environments. - Background in nursing support systems or clinical informatics. - Experience with SRE practices, observability, and incident response. - Passion for building inclusive, high-performing engineering cultures. - Strong preference to candidates located in the GTA.

Requirements