Top Tech Jobs & Startup Jobs in Toronto

The Applications Production Support Senior Analyst provides technical and business support for applications, ensuring stability and efficiency while managing production issues and enhancements. Responsibilities include performance monitoring, risk assessment, team leadership, and effective communication with stakeholders.

The Java Developer collaborates on application systems development, enhances processes, resolves complex issues, and ensures compliance with standards in a financial environment.

The Senior Pyspark Data Engineer will manage large-scale data processing systems, conduct feasibility studies, provide user support, and develop security measures while acting as a subject matter expert in applications development.

Responsible for systems analysis, programming, and managing application development projects. It involves data processing management and consulting with users. Must ensure compliance with regulations while supporting business units and mentoring junior staff.

Lead backend application design and development, solve complex system problems, define coding/testing standards, integrate systems, coach mid-level developers, and drive compliance while partnering with management on product and process enhancements.

Lead design, development, and deployment of high-performance applications using Angular, Java/Spring Boot, and MongoDB while integrating AI Agents and LLMs via Google ADK. Perform systems analysis, define coding/testing standards, resolve complex issues, coach mid-level developers, and manage projects to deliver compliant, scalable solutions.

Build and maintain responsive user-facing web applications using React, JavaScript, HTML5 and CSS3. Implement UI components from designs, consume RESTful APIs, collaborate with backend (.NET) and SQL teams, perform testing, debugging and performance tuning, participate in code reviews, and support application deployment and user-facing issue resolution while adhering to firm policies and compliance requirements.

Design and build scalable full‑stack enterprise solutions with a product focus, driving adoption of Generative AI/LLMs, agentic flows, integrations, and automation. Collaborate across teams, promote engineering best practices, and deliver iterative, high‑performance distributed systems.

Lead design, development, and deployment of large-scale Python-based Generative AI platforms and services. Drive architecture, stakeholder engagement, vendor partnerships, CI/CD, and governance. Manage multiple complex projects, mentor mid-level engineers, and ensure risk, monitoring, and integration across Citi business units.

The role involves designing, developing, and maintaining software solutions using Python, managing APIs, contributing to all phases of the development lifecycle, and mentoring junior engineers.