Top Tech Jobs & Startup Jobs in Toronto

Contribute to application systems analysis and development across design, construction, testing, implementation, and support. Perform feasibility studies, estimates, risk assessment, recommend security measures, consult with stakeholders, coach junior staff, and ensure compliance with policies and standards.

The Senior Java Back End Developer leads advanced technology projects, collaborates with global teams, and utilizes core Java and Agile methodologies to deliver scalable applications.

The Senior Java Backend Developer leads application systems analysis, programming, and project management, ensuring systems integration and enhancements with a focus on compliance and innovative problem-solving.

Lead and code a multi-tenant agentic AI platform: build full-stack components with Python/Angular, implement agent frameworks and MCP servers, develop advanced RAG and vector/graph integrations, design prompts and intents, and work as a forward-deployed engineer with SMEs to deliver production AI solutions.

Lead application systems analysis and programming, integrating multiple functions, resolving complex problems, and advising mid-level developers while ensuring compliance with regulations.

The Applications Development Senior Programmer Analyst will participate in application systems development, data analysis, and project management, primarily focusing on KYC data migration and SQL programming.

Lead applications support and integration across technology teams: analyze complex systems, define scope for high-impact enhancements, document requirements, identify risks and mitigation, coach junior analysts, and influence strategic technical decisions to ensure reliable application operations and compliance.

The Java Backend Developer is responsible for developing applications, providing technical guidance, conducting feasibility studies, and ensuring system compliance. They collaborate with users and monitor the development process while exercising leadership qualities.

Lead a Services AI Platform engineering team as a hands-on technical lead, building and scaling multi-tenant agentic ecosystems, custom fine-tuning pipelines, and advanced RAG architectures. Implement strict MCP-based architecture, integrate graph and vector databases (e.g., Neo4j, pgvector), develop prompt/intent engineering, and partner with SMEs and frontend teams to deploy production-grade AI solutions.

Lead and execute moderately complex audits of Treasury and Capital Planning functions, deliver audit reports, review business monitoring, manage audit teams, advise on change initiatives and technology adoption, recommend risk-control solutions, and ensure compliance with internal audit standards and regulations.