Junior backend engineer at a Toronto-based private equity firm, building and maintaining Python microservices and REST APIs that power in-house SaaS platforms and analytics tools, integrating data services and AI-driven capabilities in a fast-paced, high-ownership environment.
A fast-growing, Toronto-based private equity firm is expanding its engineering team and is seeking a Junior Backend Engineer. The firm specializes in delivering structured solutions that accelerate liquidity across private equity portfolios.
What You’ll Do
Build and maintain backend services and microservices supporting in-house private equity SaaS platforms and analytics tools.
Develop scalable, reliable backend applications using Python and modern software engineering practices.
Work closely with Product, Frontend, and Backend Engineering to design APIs, data flows, and technical solutions.
Translate complex business and financial requirements into clean, maintainable backend services.
Contribute to the architecture and development of new products and features in a fast-paced, high-ownership environment.
Integrate APIs, data services, and emerging AI-driven capabilities into production applications.
Troubleshoot, optimize, and continuously improve backend systems for performance, scalability, and reliability.
Have the opportunity to contribute across the technology stack and gain exposure to modern cloud, AI, and full-stack development practices.
Qualifications:
1–5 years of experience building production-grade software applications, ideally with a focus on backend development.
Strong hands-on experience with Python and object-oriented programming.
Experience building or contributing to microservices and RESTful APIs.
Strong understanding of software engineering fundamentals, including data structures, algorithms, design patterns, and clean code principles.
Experience with databases and data-driven applications, ideally with SQL and/or NoSQL technologies.
Strong problem-solving skills and the ability to take ownership of work in a fast-paced, high-performance environment.
Experience at a reputable technology company or engineering-driven organization is preferred.
Exposure to AI development tools and emerging technologies is preferred.
Full-stack development experience is a nice-to-have.