Senior Full-Stack Developer

Verto Health•Toronto, ON

1d•CA$140,000 - CA$175,000•Hybrid

About The Position

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. As a Senior Full-Stack Developer at Verto, you are one of our most senior individual contributors and a technical leader others look to for guidance. You lead through technical excellence, setting engineering standards by delivering high-quality, scalable solutions from design to production. You drive architectural decisions, tackle complex technical challenges, and consistently ship clean, maintainable, production-ready code every sprint. Management relies on you to turn strategy into execution. You own our AI development harness, the tools, prompts, agents, and workflows that engineers and non-technical partners use to accelerate the SDLC. You treat generative AI as core infrastructure, tuning and extending it to raise the team's output. Working across our platform, its AI pipelines, and complex data, you directly shape what we build and ship. This role will report to the Senior Engineering Manager, Software.

Requirements

Bachelor's degree or higher in Computer Science, Engineering, or a related technical field.
4+ years writing production-level code, with deep proficiency in our core stack (Python, Ruby, JavaScript/TypeScript, with Go a plus) and modern frameworks (Rails, Flask, React, Vue.js, Angular), plus a track record of designing scalable, reliable systems and owning them in production.
Strong hands-on experience with containerization (Docker, Kubernetes), CI/CD pipelines, and 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.), with experience building or extending AI-augmented development workflows.
Self-manage complex work, ask sharp questions to solve the right problem, and consistently deliver within sprint estimates.
Earns respect as a technical leader and is trusted with ambiguous, high-stakes decisions under pressure.
Explain technical trade-offs clearly to both engineers and non-technical stakeholders.

Nice To Haves

Go proficiency.
Familiarity with EMR data structures, unstructured clinical notes, and interoperability standards (HL7v2, FHIR, CCLF) is a plus, not a requirement.

Responsibilities

Lead the design and build of complex, full-stack features across the stack, with clean, scalable, well-tested code, high coverage, and stable deployments.
Co-lead the Architecture Review Board (ARB), set system boundaries and design standards, make the critical calls on data access patterns and service design, and keep the systems you own reliable and well-instrumented.
Own the platform's multi-quarter technical vision and its foundational system design, set the technical roadmap alongside leadership, and take accountability for the hardest problems.
Use the sprint buffer to research better methodologies, refactor legacy components, and reduce architectural friction.
Turn high-level technical strategy into scoped, estimated, sequenced work the team can ship predictably.
Surface risk early and clearly, and drive shared delivery timelines with enterprise clients. May need to interface with external clients and partners for delivery.
Support the Senior Engineering Manager with hiring by running technical and panel interviews, and take ownership of onboarding new developers and co-ops.
Own and continuously improve the internal AI harness that speeds up the whole SDLC.
Use the AI harness heavily in your own work and help the rest of the team get more out of it.
Build guard-railed AI workflows that let Product and Project Managers safely 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 work that ships.
Act as the primary technical escalation point for junior and intermediate developers, and grow them through hands-on guidance.
Break broad business requirements into digestible stories with clear, defensible estimates.
Build and maintain high-performance endpoints and synchronization pipelines that connect our platform with external systems and data sources (e.g. EMRs and health-system databases).
Apply domain knowledge to complex modules such as Risk Adjustment (RAF/HCC), quality metrics, and population dashboards.