Senior Software Engineer (1868)

NOTE: Hybrid work model, 3 days per week in Toronto, Ontario officeSKILLS: • 8+ years Software Development, Python, FastAPI, React, SQL, Snowflake, APIs, Full Stack Development, CI CD, Kubernetes, Cloud Development INDUSTRY: • Financial Services, Investment Management, Enterprise Technology DESCRIPTION We are seeking a Senior Software Engineer to build and enhance full stack, data driven applications for a Private Markets Technology team within a large investment management environment. The role will focus on a CIO facing dashboard that delivers investment insights, while also supporting broader engineering work across backend services, APIs, data layers, and platform integrations. RESPONSIBILITIES • Design, develop, and maintain full stack applications using Python, FastAPI, React, SQL, and Snowflake • Build and support a CIO facing dashboard for investment insights and decision support • Develop APIs, backend services, and efficient SQL queries • Write clean, testable code and contribute to technical design discussions • Support CI CD pipelines, code reviews, and Kubernetes based deployments • Collaborate with product, business, data, architecture, and engineering teams in an agile environment REQUIREMENTS • 8+ years of software development experience, ideally with a degree in Computer Science, Engineering, or equivalent experience • Strong Python, FastAPI, React, SQL, API, and full stack development experience • Experience building scalable, maintainable enterprise applications • Familiarity with CI CD pipelines, cloud or enterprise development environments, and development tools such as GitHub • Strong software engineering fundamentals including testing, design, troubleshooting, and code quality • Excellent communication skills and ability to work independently and collaboratively NICE TO HAVE • Snowflake or similar cloud data platform experience • Kubernetes, Node.js, dashboard, or data visualization experience • Financial services, investments, private markets, AI enabled applications, or modern data platform exposure ADDITIONAL CONTEXT • Private Markets Technology role supporting internal investment applications and a CIO facing dashboard • Hands on engineering role with a backend focus, working across product, data, and platform priorities • Internal Kubernetes deployment pipelines are used, with onboarding and training provided AI is used to assist in the recruiting process. #J-18808-Ljbffr