Senior Full-Stack Developer at Verto Health | Toronto, Ontario, CA | Rezi

Senior Full-Stack Developer at Verto Health

Senior Full-Stack Developer

Verto Health · Toronto, Ontario, CA

2 weeks ago

Senior Full-Stack Developer

Verto Health · Toronto, Ontario, CA

15 days ago
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About the Role

As a Senior Full-Stack Developer, you will be a senior individual contributor and technical leader, guiding others through technical excellence. You will set engineering standards, deliver high-quality, scalable solutions, and drive architectural decisions. You will own the AI development harness, treating generative AI as core infrastructure to accelerate the SDLC and directly shape the platform's development.

Responsibilities

  • Lead the design and build of complex, full-stack features across the stack with clean, scalable, well-tested code.
  • Co-lead the Architecture Review Board (ARB), set system boundaries and design standards, and make critical calls on data access patterns and service design.
  • Own the platform's multi-quarter technical vision and foundational system design, setting the technical roadmap alongside leadership.
  • Use sprint time to research better methodologies, refactor legacy components, and reduce architectural friction.
  • Translate high-level technical strategy into scoped, estimated, and sequenced work for predictable team delivery.
  • Surface risk early and clearly, and drive shared delivery timelines with enterprise clients, potentially interfacing with external clients and partners.
  • Support hiring by running technical and panel interviews, and take ownership of onboarding new developers.
  • Own and continuously improve the internal AI harness that speeds up the SDLC.
  • Use the AI harness heavily in your own work and help the team leverage it more effectively.
  • Build guard-railed AI workflows for non-technical partners to contribute to full-stack development and functional reviews.
  • Run rigorous code and design reviews across the pod.
  • Enforce security, architecture, and error-handling standards for all shipped work.
  • Act as the primary technical escalation point for junior and intermediate developers, providing hands-on guidance.
  • Break broad business requirements into digestible stories with clear, defensible estimates.
  • Build and maintain high-performance endpoints and synchronization pipelines connecting the platform with external systems and data sources.
  • Apply domain knowledge to complex modules such as Risk Adjustment (RAF/HCC), quality metrics, and population dashboards.

Requirements

  • 4+ years writing production-level code.
  • Deep proficiency in Python, Ruby, JavaScript/TypeScript, with Go as a plus.
  • Experience with modern frameworks such as Rails, Flask, React, Vue.js, Angular.
  • Track record of designing scalable, reliable systems and owning them in production.
  • Strong hands-on experience with containerization (Docker, Kubernetes).
  • Experience with CI/CD pipelines.
  • Experience with cloud services (Azure, AWS, or GCP).
  • Advanced experience querying and optimizing databases of different formats (PostgreSQL, Clickhouse, Elasticsearch, Redis).
  • Active daily user of AI development tools (Cursor, Claude, Codex, Gemini, etc.).
  • Experience building or extending AI-augmented development workflows.
  • Ability to self-manage complex work and ask sharp questions to solve the right problem.
  • Consistently deliver within sprint estimates.
  • Earn respect as a technical leader and be trusted with ambiguous, high-stakes decisions under pressure.
  • Clearly explain technical trade-offs to both engineers and non-technical stakeholders.
  • Familiarity with EMR data structures, unstructured clinical notes, and interoperability standards (HL7v2, FHIR, CCLF) is a plus, not a requirement.

Skills

  • Technical leadership
  • Scalable solution design
  • Architectural decision-making
  • AI development harness management
  • Generative AI utilization
  • Software Development Lifecycle (SDLC) acceleration
  • Full-stack development
  • System architecture
  • Technical roadmap setting
  • Development process optimization
  • Risk management
  • Client communication
  • Technical interviewing
  • Developer onboarding
  • Code review
  • Security standards enforcement
  • Mentorship
  • Requirements scoping
  • Systems integration
  • Database optimization
  • Healthcare domain knowledge (asset)

Location

  • Canada

Work Type

  • Hybrid
  • Full-time

Experience Level

  • Senior
  • 4+ years of experience

Education Level

  • Bachelor's degree or higher in Computer Science, Engineering, or a related technical field

Salary/Compensations

  • $140,000 to $175,000 CAD per year

Benefits

  • Health and dental coverage
  • Paid time off
  • Professional development support
  • Flexible work arrangements

About the Company

  • Verto Health is a health technology company solving healthcare’s most complex data fragmentation and interoperability challenges.
  • Our patented, AI-enabled platform ingests structured and unstructured clinical data across disparate EHRs, claims, and payer systems to create a unified, actionable view of patient populations.
  • We empower health systems and value-based care organizations across North America to master population health by translating hidden clinical insights into personalized patient journeys, automated workflows, and accurate risk adjustments.
  • By bridging the gap between raw data and coordinated action, Verto enables healthcare providers to reduce manual overhead, optimize operational efficiency, and deliver proactive, data-driven care at scale.

Equal Opportunity

  • Verto Health is committed to providing an inclusive and accessible experience for all applicants. If you require accommodations during the recruitment process, please let us know and we’ll work with you to meet your needs.
  • Verto Health uses artificial intelligence-enabled tools during the recruitment process to assist in screening, assessing, and selecting applicants for this position. This includes tools to evaluate candidate skills, experience, and qualifications against the role requirements.
  • AI tools are used to assist our hiring team, not to make final hiring decisions. All candidate applications and interview outcomes are reviewed and evaluated by people. If you have questions about how AI is used in our hiring process, please reach out.