About Dialogue Dialogue is the #1 virtual care provider in Canada. Equal-Opportunity Employer Dialogue is a proud equal-opportunity employer. Qualified applicants will be considered regardless of citizenship, ethnicity, race, colour, religion, gender, gender identity or expression, sexual orientation, disability, age, or veteran status. Applicants who require specialized accommodation are encouraged to contact AI Disclosure Statement To ensure an efficient and fair review process, we utilize artificial intelligence tools to assist in the initial screening and assessment of applicants for this role. Your role as a Staff Platform Developer, Backend We are seeking a Staff Platform Developer to provide technical leadership and drive the architecture of Dialogue’s next-generation scheduling and automation platform. You will define and evolve the core services, data flows, and distributed systems that orchestrate provider availability, automated assignment, shift reshuffling, and real-time booking logic across all operating regions. This is a senior-most technical role within the Scheduling & Forecasting team. You will guide architectural direction, set engineering standards, and mentor other engineers while contributing directly to the most critical systems powering Dialogue’s operational backbone. About the Scheduling and Forecasting Team The Scheduling & Forecasting team powers the operational backbone that makes it possible to schedule our healthcare providers, forecast demand, and match patients with the right clinician across every Canadian jurisdiction. What you’ll be doing This role sits at the intersection of backend engineering, platform reliability, and applied optimization with the added expectation of setting architectural direction, pushing technical boundaries, and building long-lasting foundations. Day-to-day you will: Lead the architecture and evolution of backend services and APIs that drive scheduling automation, availability management, and real-time booking logic. Design cross-service workflows and distributed orchestration patterns capable of handling high-volume updates, conflict resolution, and multi-jurisdiction scheduling rules. Define the standards for integrating solver outputs (CP-SAT, linear optimization, custom heuristics) and forecasting signals into production systems with verifiable correctness and predictable performance. Partner with Data Engineering and Data Analytics leadership to design shared interfaces, data contracts, and experimentation patterns that accelerate model-to-production cycles. Establish and champion best practices for observability: structured logs, metrics, tracing, dashboards, and SLOs to ensure scheduling systems remain transparent, auditable, and dependable. Mentor and guide engineers across the team through code reviews, pairing, architectural deep dives, and long-range technical planning. Anticipate failure modes and design for resilience through idempotency, graceful degradation, fallback logic, deterministic state transitions, and rigorous operational readiness. Collaborate with operations and medical leadership to incorporate real-world constraints into the architecture, ensuring scheduling outcomes remain fair, explainable, and aligned with clinical realities. Initiate and lead strategic technical projects that raise the bar for performance, correctness, reliability, or developer experience within the team and adjacent streams. We’d love to hear from you if you have Deep backend engineering experience: services, APIs, distributed systems, events at a scale where correctness and reliability are critical. Experience leading the design of automation-heavy systems, schedulers, decision engines, workforce-management platforms, or comparable complex domain systems. Comfort integrating optimization logic (e.g., OR-Tools or CP-SAT) or ML outputs into production flows with strong guarantees. Significant experience with event-driven architectures, queues, workflow orchestrators, or state machines. Thinking in terms of system design, failure modes, invariants, idempotency, and long-term maintainability. Fluency in modern engineering practices: CI/CD, version control, automated testing, observability stacks, performance analysis, and infrastructure-as-code. Influence beyond code: shaping design patterns, engineering culture, and technical strategy across teams. Ability to thrive in cross-functional environments, collaborating closely with data scientists, data engineers, DevSecOps, and operations stakeholders. Enjoy balancing pragmatism with long-term thinking, building simple, robust, and adaptable systems in a domain full of constraints and edge cases. This role is a key technical pillar in transforming Dialogue’s scheduling ecosystem from manual processes and fragmented logic to a unified, automated platform rooted in correctness, efficiency, fairness, and operational excellence. As a Staff Platform Developer, your architectural decisions and leadership will shape the foundation of provider scheduling and patient experience for years to come. bilingualism is essential for this position . You may be required to communicate in French and English . At Dialogue, your well-being is our priority Depending on your role and employment status, you could have access to the following benefits: Access to the Dialogue app and virtual mental health support for you and your family. Fully funded insurance, a health spending account, dental coverage, and fitness reimbursement. 4 weeks vacation, 9 wellness days, and 1 volunteer day. Hybrid work: 3 days/week in our Montreal or Toronto offices, excluding remote roles. Work abroad up to 4 weeks/year. Incentive plans, referral bonuses, and RRSP matching. Learning via Coursera, external training budget, and mentorship. Optional parental leave top-up. #J-18808-Ljbffr