Top Tech Jobs & Startup Jobs in Toronto

The role involves system analysis, programming, project management, and developing application systems to meet business needs while providing support and guidance.

The role involves developing AI agents, integrating tools, ensuring design quality, collaborating with teams, and keeping updated on AI advancements.

The Senior Programmer Analyst participates in the development and implementation of application systems, provides operational support, and analyzes complex IT issues. Responsibilities include overseeing development processes, consulting with clients, and ensuring compliance with security measures.

The Data Reporting Lead Analyst will analyze project data, develop reports and dashboards, ensure data integrity, and support PMO decision-making processes.

The Program Management Lead Analyst partners with teams to execute marketing campaigns and initiatives, manages budgets, legal approvals, and assesses risks while ensuring compliance. Requires strong project management and communication skills over 6-10 years in marketing and financial services.

Senior individual-contributor full-stack engineer who architects and implements AI-augmented, cloud-ready, scalable financial applications. Leads architecture, champions SDD/TDD/BDD/DDD, integrates AI tools into the SDLC, mentors engineers, and optimizes Oracle and MongoDB interactions for performance and resilience.

Design, build, and maintain scalable AI agents and enterprise-grade ELT/ETL pipelines using Python, PySpark, Databricks, and microservices. Deploy and integrate LLMs and agentic AI (Google ADK, Devin.AI, MCP), ensure data quality, security, and CI/CD-driven cloud-native operations, and drive data federation and Data Mesh solutions.

The Applications Development Java Programmer will develop and implement application systems in Java, ensuring high performance and quality, while collaborating with teams to meet business objectives.

The role involves designing, developing, and implementing AI/ML solutions for Investment Banking products. Responsibilities include leading technical direction, mentoring junior engineers, collaborating with stakeholders, optimizing AI systems, and ensuring data quality for deployment.

Lead data-driven projects in Capital Markets, ensuring data accuracy, managing timelines, and serving as liaison between stakeholders and technical teams. Focus on data governance and quality management.