Senior Software Engineer - Fullstack

RBC; Toronto; On-site; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Bonuses and stock where applicable

Flexible benefits

Career development opportunities

Job summary

RBC is seeking a Senior Fullstack Engineer to design, build, and scale core features across a Next.js frontend, Node.js backend, and Python AI service layer. You will work closely with traders to ship tools that influence decision making, including real-time dashboards, AI components, and data pipelines.

The role emphasizes expertise in TypeScript, React/Next.js, Redux RTK, and secure, scalable architectures within a Turborepo monorepo environment.

Qualifications

• 5+ years of professional software engineering experience with full-stack development.
• Expert-level TypeScript proficiency in large, strictly-typed codebases.
• Deep experience with React and Next.js, App Router, Server Components, middleware, API routes, and SSR/ISR patterns.
• Strong backend skills in Node.js, with Express, REST API design, middleware patterns, and async data pipelines.
• Experience managing state with Redux Toolkit and RTK Query, including cache tags, optimistic updates, and code-splitting slices.
• Real-time system design with WebSockets, Socket.IO, Server-Sent Events, or similar.
• Proficiency with MongoDB (Mongoose) and Redis, including caching and pub/sub.
• Hands-on experience with monorepos (Turborepo, Nx, Lerna).
• Secure authentication/authorization: OAuth2/OIDC, JWT, LDAP/AD, NextAuth.js.
• Containerization with Docker and Kubernetes (Helm).
• Strong communication skills for explaining trade-offs to traders.

Responsibilities

• Build and own features end-to-end across a Next.js frontend, Node.js backend, and Python AI service layer.
• Design real-time data flows using WebSockets, Kafka, and SSE.
• Develop rich dashboards with charts, grids, and drag-and-drop widgets, plus a conversational AI panel.
• Maintain shared packages in the Turborepo monorepo (store, UI components, charts, grids).
• Integrate with capital markets data infrastructure (KDB+/Q, time-series pipelines, messaging).
• Build and optimize the BFF proxy layer with secure auth and routing to services.
• Implement caching with Redis and RTK Query for performance.
• Work on AI/LLM integration including RAG pipelines and streaming responses.
• Ensure production reliability via Kubernetes, Helm, and observability tools.
• Collaborate with quants and traders to translate workflows into platform features.

Skills

TypeScript

React

Next.js

Node.js

Express

Redux Toolkit

RTK Query

WebSockets

Kafka

Server-Sent Events

Redis

Docker

Kubernetes

Security/auth

Communication

Tools

Highcharts

D3

Turborepo

Nx

Lerna

MongoDB

Mongoose

NextAuth.js

OAuth2/OIDC

JWT

LDAP/AD

KDB+/Q

Python

FastAPI

Job description

Job Description

WHAT IS THE OPPORTUNITY?

RBC Capital Markets is a leading global investment banking company dedicated to providing services in banking, finance, and capital markets to corporations, institutional investors, asset managers, and governments globally. The Funding and Liquidity Technology group within RBC Capital Markets’ Quantitative and Technology Services (QTS) organization is responsible for supporting the business units that manage both secured and unsecured funding within Capital Markets.

We’re building an internal analytics platform for institutionalequities — serving Sales Traders, Portfolio Managers, and Analysts. The platform delivers real-time desk flow monitoring, research &sentiment analysis, AI-powered insights, and market intelligence within a modern, high-performance web application built on a Turborepo monorepo.

We are looking for aSenior Fullstack Engineerto design, build, and scale core features across theentire stack — from interactive frontend dashboards to backend data services and AI integration layers.You’ll work closely with traders and portfolio managers to ship tools that directly impact trading decisions.

WHAT WILL YOU DO?

• Build & own features end-to-endacross a Next.js 16 frontend, Node.js/Express backend services, and Python/FastAPI AI service layer
• Design and implement real-time data flowsusing WebSockets (Socket.IO), Kafka consumers, and streaming AI responses (SSE)
• Develop rich, data-dense UIs—interactive charts (Highcharts), grids, dashboards with drag-and-drop widget layouts, and a conversational AIassistant panel
• Architect and maintain shared packages(store, UI components, charts, types, grid,utils) within the Turborepo monorepo
• Integrate with capital markets data infrastructure— KDB+/Q real-time and historical databases, time-series data pipelines, and enterprise messaging
• Build and optimize the BFF proxy layer— auth-validatedAPI proxying, token injection, and request routing to Node.js and Python services
• Implement caching strategieswith Redis (sessionstore, API response cache, rate limiting) and RTK Query (tag invalidation, optimistic updates)
• Work with AI/LLM integration— orchestrate context for RAG pipelines, handle streamed AI responses, and build prompt-driven features
• Ensure production reliability—Kubernetes deployments via Helm, reverse proxy routing, horizontal pod autoscaling, and observability with Kibana/Grafana
• Collaborate with quants, traders, and productto translate desk workflows into high-impact platformfeatures

WHAT DO YOU NEED TO SUCCEED?

Must have:

• 5+ years of professional software engineering experience with significant full-stack development background.
• Expert-level TypeScript proficiency and experience working in large, strictly-typed codebases.
• Deep experience with React and Next.js, including App Router, Server Components, middleware, API routes, and SSR/ISR patterns.
• Strong backend skills in Node.js, with proven expertise in Express, REST API design, middleware patterns, and async data pipelines.
• Experience managing state at scale using Redux Toolkit and RTK Query, including cache tags, optimistic updates, and code-splitting slices.
• Proven ability to design and implement real-time systems using WebSockets, Socket.IO, Server-Sent Events, or similar push-based architectures.
• Demonstrated proficiency with MongoDB (Mongoose ODM) and Redis, including caching patterns and pub/sub implementations.
• Hands-on experience with monorepo tools such as Turborepo, Nx, or Lerna for managing shared packages and build pipelines.
• Experience implementing secure authentication and authorization systems, including OAuth2/OIDC, JWT, LDAP/AD integration, and session management with NextAuth.js.
• Proficiency containerizing applications using Docker and deploying to Kubernetes with Helm charts, managing pod scaling, health checks, and deployment strategies.
• Strong communication skills for explaining technical trade-offs to non-technical stakeholders, including trading desk teams.

Nice-to-have:

• Capital markets or financial services background with understanding of equities trading workflows, order flow, and desk structures.
• Python/FastAPI experience for building or integrating AI/ML service layers.
• Proficiency with KDB+/Q or time-series databases for querying tick data and managing real-time and historical market data.
• Experience with AI/LLM integration, including RAG pipelines, prompt engineering, streaming inference, and work with frontier models such as Claude and GPT.
• Expertise in charting and data visualization using libraries such as Highcharts, D3, or similar tools for financial data.
• Experience with observability tooling including ELK stack, Prometheus, and Grafana for dashboards and alerting.
• Knowledge of messaging systems such as Kafka, Solace, or similar event-driven architectures.

What’s in it for you?

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
• Leaders who support your development through coaching and managing opportunities
• Flexible work/life balance options
• Work in a dynamic, collaborative, progressive, and high-performing team
• Ability to make a difference and lasting impact

Job Skills

Application Development, Application Integrations, Application Maintenance, Applications Architecture, Detail-Oriented, Enterprise Application Delivery, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC), System Applications

Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

CAPITAL MARKETS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-09-02

Application Deadline:

2026-10-02

Note : Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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