Top Tech Jobs & Startup Jobs in Toronto

Design and build high-quality margin and collateral software solutions across the full development lifecycle. Collaborate with product and users, implement RESTful APIs, apply TDD and clean-code practices, and work in a fast-paced, global engineering environment using Java/React/Python and SQL.

This role leads application system design and implementation, drives collaboration across teams, manages projects, and mentors developers while ensuring risk compliance.

Design, develop, and deploy generative AI solutions (LLMs, RAG, vector DBs, agentic AI) for financial applications. Build AI agents, implement RAG pipelines, fine-tune and evaluate models, collaborate with engineering to productionize models (CI/CD, containers, cloud), and communicate results to stakeholders.

Lead application infrastructure modernization including cloud migrations, container platform administration (OpenShift/Kubernetes/Docker), CI/CD and IaC automation, and development of AI-driven automation. Provide systems analysis, design, implementation, and user support while advising stakeholders and ensuring security and compliance.

Participate in design, development, testing, and support of application systems and scalable ETL data pipelines. Implement Agentic AI automation, debug and secure applications, collaborate with stakeholders, and coach junior analysts while ensuring compliance and data integrity.

The role involves designing, developing, and maintaining scalable backend services using Java and modern technologies, focusing on microservices architecture, TDD, and collaboration with teams.

Senior full‑stack developer responsible for designing, developing, and maintaining enterprise‑scale React.js frontends and Java (17+) Spring Boot microservices. Modernize Angular apps to React, build REST APIs and event‑driven pipelines with Kafka, integrate SQL and NoSQL databases, support CI/CD and containerized deployments (Docker, Kubernetes, OpenShift), and monitor production systems using ELK/Grafana.

Develop and maintain Finance Desk applications (position management, trade capture, risk processing). Own full SDLC: analysis, design, coding, testing, deployment, L3 production support. Improve CI/CD pipelines, collaborate with global teams, coordinate testing and rollouts, and drive secure, maintainable solutions.

Lead the design and development of AI services, managing technical teams to create enterprise-wide Generative AI platforms and solutions.

Lead end-to-end delivery of enterprise Java applications: translate complex requirements into scalable, secure designs; define architecture and coding standards; optimize performance; implement distributed caching; mentor developers; conduct code reviews; coordinate with product and stakeholders; and ensure compliance and risk management.