Top Tech Jobs & Startup Jobs in Toronto

Lead the adoption of Generative AI and Large Language Models in enterprise solutions, focusing on engineering, collaboration, and innovation. Engage with stakeholders, implement scalable AI systems, and drive cultural change and efficiency.

The Java Developer will design, develop, and maintain Java-based applications for risk management, focusing on cloud technologies and data messaging systems.

The role involves full-stack development using Java and modern front-end frameworks, system architecture, API development, and cloud DevOps practices. Responsibilities include collaborating with teams, mentoring juniors, and ensuring software quality and performance.

The role involves developing and modernizing application systems in Capital Markets and Credit Risk, providing technical leadership, ensuring compliance, and mentoring junior developers.

The role involves designing scalable, low-latency data pipelines for data insights, collaborating with teams, and supporting technology integration in financial applications.

The role involves leading applications systems analysis and programming activities, implementing application systems, and providing technical leadership and mentorship. Key responsibilities include architectural decisions, project ownership, problem solving, collaboration, and fostering innovation within the team.

The Lead Java Technologist will oversee application systems development, lead teams, ensure quality, and evaluate AI tools in software engineering.

The Infrastructure DevOps Lead Analyst role involves designing and supporting CI/CD pipelines, automating processes, and ensuring application platform stability, scalability, and security. Responsibilities include troubleshooting, coding in Python, collaborating with teams, and guiding junior analysts.

Citi's Internal Audit Summer Analyst Program is a 16-week internship focused on assessing governance, risk management, and internal controls, providing training, mentoring, and networking opportunities.

The role involves building scalable applications using Python, collaborating with teams, debugging issues, and communicating progress. Experience in financial services is preferred.