Senior Software Engineer - Fullstack

Role Overview

Responsibilities

• Build end-to-end features across Next.js, Node.js/Express, and Python/FastAPI services.
• Design real-time flows using WebSockets, Kafka consumers, and server-sent AI responses.
• Develop data-dense dashboards, charts, grids, drag-and-drop layouts, and a conversational AI assistant.
• Maintain shared packages and build pipelines within the Turborepo monorepo.
• Integrate KDB+/Q, time-series data pipelines, and enterprise messaging.
• Build the authenticated backend-for-frontend proxy layer and route requests to Node.js and Python services.
• Implement Redis caching, rate limiting, RTK Query cache tags, and optimistic updates.
• Develop RAG, prompt-driven, and streamed AI/LLM features.
• Support Kubernetes deployments, Helm charts, autoscaling, reverse proxy routing, and observability.
• Translate institutional trading desk workflows into high-impact platform features.

Required Qualifications

• At least 5 years of professional software engineering experience with significant full-stack development experience.
• Expert-level TypeScript proficiency in large, strictly typed codebases.
• Deep React and Next.js experience, including App Router, Server Components, middleware, API routes, and SSR/ISR.
• Strong Node.js, Express, REST API, middleware, and asynchronous data pipeline experience.
• Experience with Redux Toolkit and RTK Query for application state management at scale.
• Experience designing real-time systems with WebSockets, Socket.IO, Server-Sent Events, or similar technologies.
• Proficiency with MongoDB, Mongoose, Redis, secure authentication, and authorization systems.
• Hands-on experience with Turborepo, Nx, or Lerna monorepo tooling.
• Proficiency with Docker and Kubernetes deployments using Helm charts.
• Strong communication skills for explaining technical trade-offs to non-technical stakeholders.

Preferred Qualifications

• Capital markets or financial services experience, including equities trading workflows, order flow, and desk structures.
• Python/FastAPI experience supporting AI or machine learning service layers.
• KDB+/Q or time-series database experience with real-time and historical market data.
• AI/LLM integration experience with RAG, prompt engineering, streaming inference, Claude, or GPT.
• Financial charting and visualization experience with Highcharts, D3, or similar tools.
• Observability experience with ELK, Prometheus, or Grafana.
• Messaging experience with Kafka, Solace, or similar event-driven systems.

Compensation

• The posting identifies the role as salaried but does not specify a compensation cadence or amount.
• The rewards program may include bonuses, flexible benefits, commissions, and stock where applicable.

Work Location

• The source lists RBC Centre at 155 Wellington Street West in Toronto as the work address.
• The description does not explicitly state whether the role is onsite, hybrid, or remote.

Company Context