About this role
Overview
NOTE: Hybrid work model, 3 days per week in Toronto, Ontario office
TYPE: Contract, 8 hours per day, 40 hours per week 6 month contract
SKILLS: 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
Please note that AI is used to assist in the recruiting process.