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Software Engineer Intern

  • Source: LinkedIn
  • RBC Global Asset Management
  • On-site
  • Toronto
  • Junior

Job Description

Company Description

Royal Bank of Canada (RBC) is one of the world’s leading diversified financial institutions, committed to helping clients thrive and communities prosper. Across banking, capital markets, wealth management, and insurance, RBC invests in technology and innovation to build secure, scalable, and data-driven platforms that support millions of clients globally. Engineers at RBC work on high-impact systems that improve digital experiences, strengthen operational excellence, and help shape the future of financial services through modern software, data, and AI capabilities.

Role Description

We are seeking a Software Engineer Intern to join our team in the Downtown Toronto Area. This on-site internship is well suited for candidates with strong interest in Python backend development and modern API architecture. In this role, you will work closely with engineers to design, build, and maintain scalable backend services, develop APIs, and support internal platforms that power data and AI-driven applications. You will contribute to writing clean, efficient, and well-tested code, participate in technical design discussions, and help debug, optimize, and maintain systems for performance, reliability, and long-term maintainability.

Qualifications

  • Strong foundation in computer science principles, including data structures, algorithms, and software design
  • Hands-on experience with Python and backend software development
  • Familiarity with API development frameworks such as FastAPI
  • Experience working with structured data models and validation patterns, including tools such as Pydantic
  • Understanding of object-oriented programming and software engineering best practices
  • Ability to collaborate effectively in a fast-paced, team-oriented environment
  • Strong problem-solving skills and attention to detail
  • Interest in backend platforms, AI-driven systems, and applied machine learning use cases
  • Enrolled in or recently completed a degree in Computer Science, Software Engineering, or a related technical field

Skills

  • Python
  • FastAPI
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