Senior Software Engineer - Fullstack

Opportunity Overview

Responsibilities

• Build end-to-end features with Next.js, Node.js, Express, and Python or FastAPI services.
• Design real-time data flows using WebSockets, Socket.IO, Kafka consumers, and Server-Sent Events.
• Develop interactive charts, grids, dashboards, drag-and-drop layouts, and a conversational AI assistant.
• Maintain shared packages within the Turborepo monorepo.
• Integrate KDB+/Q, time-series data pipelines, and enterprise messaging.
• Build and optimize the authenticated backend-for-frontend proxy layer.
• Implement Redis and RTK Query caching, rate limiting, invalidation, and optimistic updates.
• Develop retrieval-augmented generation and prompt-driven AI features.
• Maintain reliability through Kubernetes, Helm, autoscaling, reverse proxies, and observability.
• Collaborate with quants, traders, and product teams on trading 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 or ISR.
• Strong Node.js and Express backend skills, including REST APIs, middleware, and asynchronous data pipelines.
• Experience with Redux Toolkit and RTK Query for state management at scale.
• Experience designing real-time systems with WebSockets, Socket.IO, Server-Sent Events, or similar architectures.
• Proficiency with MongoDB, Mongoose ODM, and Redis, including caching and pub/sub patterns.
• Experience with Turborepo, Nx, or Lerna monorepo tools.
• Experience implementing OAuth2/OIDC, JWT, LDAP or AD integration, and NextAuth.js session management.
• 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 with knowledge of equities trading workflows, order flow, and desk structures.
• Python or FastAPI experience for AI or machine learning service layers.
• KDB+/Q or time-series database experience.
• AI or LLM integration experience, including RAG, prompt engineering, and streaming inference.
• Experience with Highcharts, D3, or similar financial data visualization libraries.
• Experience with ELK, Prometheus, Grafana, Kafka, Solace, or similar systems.

What RBC Offers

• RBC offers a comprehensive Total Rewards Program with bonuses, flexible benefits, competitive compensation, commissions, and stock where applicable.
• Leaders support employee development through coaching and management opportunities.
• The organization offers flexible work-life balance options and a collaborative, high-performing environment.

Employment Details

• Employment type is full time and the job type is regular.
• The position is salaried; no compensation cadence or amount is specified.

About RBC