Top Tech Jobs & Startup Jobs in Toronto

Provides technical and business support for enterprise applications, including monitoring, incident resolution, risk reconciliation, release support, documentation, contingency planning, and production stability improvements. Partners with development, technology, business, and vendor teams to prioritize fixes, manage service-level expectations, assess risks, and support application enhancements. Acts as a subject-matter expert, coaches junior analysts, and leads stability, efficiency, and effectiveness initiatives.

Design, build, and deploy enterprise-scale agentic AI and generative AI solutions for banking. Develop full-stack LLM applications, integrate multiple model providers, establish evaluation and feedback systems, and prototype emerging AI technologies. Work in agile squads using MVP-driven delivery while ensuring security, resiliency, scalability, and regulatory alignment. Mentor junior engineers and collaborate cross-functionally on production-grade AI capabilities.

Leads strategic data analytics, translates complex analysis into business insights, develops data visualizations, and recommends solutions to senior stakeholders. Serves as a subject matter expert on data science, data mining, big data, and statistical modeling. Guides technical strategy, advises on business operations and risk, influences significant decisions, and manages team resources and work allocation.

Leads data analytics initiatives, develops statistical analyses of large datasets, establishes analytics standards, resolves complex issues, and advises stakeholders. The role oversees data science project delivery, resource planning, risk management, compliance, and cross-functional communication. Requires at least six years of experience with statistical modeling and a bachelor’s degree or equivalent experience.

Design, build, and deploy enterprise-scale agentic AI and generative AI solutions for banking. Develop full-stack LLM applications, integrate multiple model providers, establish evaluation and feedback systems, and research emerging autonomous AI technologies. The role emphasizes rapid MVP delivery, production reliability, security, and scalable architectures. It also requires cross-functional collaboration, technical mentorship, and alignment with regulated financial-services requirements.

Leads strategic product management and digital transformation for enterprise lending, client portal, and debt capital markets platforms. Owns product roadmaps, agile delivery, platform integration, AI/ML initiatives, prototypes, governance, and regulatory alignment. Partners with senior stakeholders, engineers, designers, operations, risk teams, bankers, and corporate clients to deliver unified lending workflows and self-service digital experiences.

Architect, develop, and maintain scalable Selenium-based automation frameworks for web UIs, APIs, microservices, and databases. Build reusable test libraries, implement BDD and TDD, integrate AI-driven testing utilities, analyze failures, and support parallelized CI/CD pipelines. Collaborate with engineering and product teams on shift-left testing, testability, acceptance criteria, and defect resolution in an Agile Scrum environment.

Develop and support scalable Java and React applications for OTC derivatives technology. Design microservices using Spring Boot, cloud, containerization, and distributed systems practices. Lead the full software development lifecycle, including analysis, design, testing, deployment, production support, risk assessment, and security improvements. Partner with business users and technology teams, advise stakeholders, coach junior analysts, and serve as a subject matter expert while working independently in a fast-paced environment.

Lead software engineer responsible for designing and developing robust, automated technology solutions for margin and collateral platforms. The role involves building RESTful APIs, event-driven microservices, and user interfaces; collaborating with product teams and users; applying TDD and clean-code practices; and solving complex engineering problems in a global financial technology environment. Cloud, distributed systems, and financial services experience are beneficial.

Designs, deploys, maintains, and supports infrastructure and middleware for FX electronic trading applications. Provides technical leadership across messaging middleware, operating systems, networking, hardware, performance engineering, and web middleware. Coordinates replatforming and migration initiatives, translates application needs into infrastructure designs, supports production issues, contributes to releases and DevOps efforts, and leads engineers while collaborating with global technology and business teams.