Top Tech Jobs & Startup Jobs in Toronto

Design, build, and maintain scalable full-stack web applications using Python, .NET and modern frontend frameworks. Develop REST APIs, integrate AI/ML or LLM capabilities, work with relational/NoSQL databases, deploy to cloud environments, optimize performance, and ensure security and quality through testing, code reviews, and collaboration with cross-functional teams.

Full stack developer responsible for designing, building, and maintaining backend services (Python/Django/Celery) and responsive frontends (React/JavaScript). Work includes PostgreSQL schema design, containerized deployments with Docker and Kubernetes, Helm chart management, and supporting distributed async task processing at scale.

Design and build scalable AI-powered full-stack applications: develop data pipelines (Dagster, dbt), backend services (Python, FastAPI), responsive frontends (React, TypeScript), integrate LLMs and RAG pipelines, implement MCP for agent workflows, ensure data quality and CI/CD, and collaborate with engineering and business stakeholders.

Design, develop, and maintain scalable data pipelines and models using Snowflake, PySpark, and SQL. Build ETL/ELT processes, automate workflows, manage releases, ensure data quality and governance, collaborate with analysts and stakeholders, monitor and optimize performance, and document architecture within banking compliance requirements.

Develop, deploy, and maintain production-grade quantitative models and portfolio optimization tools. Translate research requirements into scalable software, write clean tested code, collaborate in Agile teams, and provide operational support for investment models and data workflows.

Design, develop, and maintain high-performance, low-latency trading and financial systems using Core Java and Spring. Implement multi-threaded, concurrent solutions, optimize SQL and caching (MemSQL/Redis), deploy and manage cloud applications (AWS/Azure), collaborate with global teams, conduct code reviews, and support live trading systems focused on capital and debt markets.

Lead design and implementation of Generative AI solutions for capital markets, building agentic frameworks, RAG, embeddings, and NLP models. Integrate tools into existing systems, guide teams, oversee experimentation, fine-tuning, deployment, and monitoring while researching advances in deep learning.