Fullstack developer with Python, .NET & AI experience
$110,000–$120,000 year
On-siteToronto, Ontario, Canada
Job Summary
Design, develop, and maintain full-stack web applications using Python, .NET, and modern frontend frameworks. Build robust REST APIs and backend services while integrating AI/ML models or LLM-based capabilities into enterprise solutions. Collaborate with product managers, designers, and data scientists to deliver end-to-end solutions, optimizing performance and reliability. Write clean, testable code, participate in code reviews, and deploy applications in cloud environments like Azure, AWS, or GCP. Troubleshoot existing applications and ensure adherence to security and compliance standards. Requires 6+ years of experience with Python, .NET, and SQL skills. Base salary in Toronto is CAD $110k–$120k/year. Work with top-tier financial institutions and benefit from flexible hybrid policies and extensive learning resources.
Required Qualifications
- Bachelor's degree in Computer Science or equivalent
- 6+ years of software development experience
- Experience building stable and maintainable production-grade web applications
- Proficient with Python, .NET, JavaScript (Angular/Vue) for building production grade applications
- Experience with Python Data Manipulation libraries, Pandas/NumPy
- Excellent SQL skills for data modeling, constructing complex queries, and performance optimization
- Experience with designing complex ETL data pipelines for mission critical applications
- Proficient with AI development tools (Claude/GitHub Copilot/Cursor)
- Experience with cloud-native software development, especially Microservice architecture, Docker, and OAuth2
- Strong communication skills, curiosity, and sense of empathy to effectively collaborate with investment professionals
- Intrinsic motivation to leverage your skills, experience, and creativity to help others be successful
- Passion for continuous learning and sharing knowledge with others
- Experience with Python, .NET, and modern web technologies
- hands-on exposure to AI/ML-powered application development
- comfortable working across the entire software development lifecycle—from frontend interfaces to backend APIs, databases, cloud deployment, and AI integrations
Desired Qualifications
- Experience with Apache Airflow, building out workflow DAGs and scheduling jobs
- Experience with developing production grade MCPs/RAG pipelines/Knowledge Systems
- Understanding of investment/trading industry, especially via experience in asset management or capital markets
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