Platform Developer, Backend; Service OS

About Dialogue

Dialogue is the #1 virtual care provider in Canada. By developing our Integrated Health Platform, we provide exceptional online health and wellness programs (primary care, mental health, iCBT, EAP, and wellness) to organizations that want to improve the wellness of their employees and families.

When it comes to our work, we set the bar high. Together, we’re transforming health and helping millions improve their well‑being. We’re firm believers that great people don’t settle on:

• Impact
• Community
• Growth
• Excellence

Feel like you can make a difference? Good news, we saved you a seat!

Come as you are. As a proud equal‑opportunity employer, Dialogue is dedicated to creating a diverse and inclusive workplace for everyone. 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

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.

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.

As Canada's leading virtual care provider, Dialogue is committed to helping millions of individuals improve their health and well‑being. The Scheduling & Forecasting team powers the operational backbone that makes this possible: we build and run the systems that schedule our healthcare providers, forecast demand, and match patients with the right clinician across every Canadian jurisdiction. Our work directly influences SLAs, occupancy rates, provider workload balance, and the reduction of manual administrative effort across the company.

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. You’ll partner closely with data engineers, data scientists, and operations leaders to transform research ideas, solver outputs, and complex domain rules into scalable, robust, and transparent backend systems.

You’ll influence the evolution of our scheduling intelligence, ensuring our automation stack is not only correct and reliable today, but also extensible for future constraints, jurisdictions, and product directions.

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,…