Top Tech Jobs & Startup Jobs in Toronto

Develop and support application systems throughout feasibility, analysis, design, development, testing, implementation, and operational support. Analyze complex application and business-process issues, recommend programming solutions, establish standards, assess risk, and implement security measures. Collaborate with users and technology teams, provide stakeholder guidance, support compliance, and coach junior analysts while working independently with limited supervision.

Leads application development and systems analysis initiatives, designing enhancements, resolving complex technology problems, and ensuring applications align with enterprise architecture. Establishes coding, testing, debugging, and implementation standards; evaluates business and system processes; advises management; and mentors developers and analysts. The role also manages risk, supports regulatory compliance, and contributes to successful technology projects.

Lead design and development of middleware and microservices using Java and Spring Boot; optimize database interactions (Oracle, SQL, MongoDB); implement CI/CD with AI-driven testing and security; mentor engineers; integrate AI tools for code generation, testing, anomaly detection, and risk analytics; collaborate with cross-functional teams to deliver high-quality software.

Develops and implements new or revised applications and software programs. Responsibilities include feasibility analysis, system design, construction, testing, implementation, user support, security measures, risk assessment, and operational standards. The role analyzes complex application issues, recommends programming solutions, collaborates with technology and business teams, supports ETL initiatives, and mentors junior analysts. Requires expertise in Java, Spring Boot, Talend, AutoSys, application development, and systems analysis.

Leads the end-to-end development and deployment of AI/ML models for enterprise financial reconciliation and data engineering. Designs Agentic AI and Generative AI solutions, analyzes structured and unstructured financial data, defines model roadmaps, and integrates models into production. Partners with engineering and business teams on scalability, risk mitigation, documentation, and adoption while translating complex findings into visualizations and strategic recommendations for senior leaders.

Provides first-line technical and business support for applications used by Citi's Spread Products trading desks. Troubleshoots incidents, coordinates with technology teams and vendors, supports application releases and disaster recovery testing, performs post-release validation, documents procedures, assesses application risks, and contributes to stability and process-improvement initiatives.

Supports product management for digital banking and treasury platforms, including roadmap development, product enhancements, launches, client experience, market research, competitive analysis, and platform adoption. Partners with sales, implementation, technology, operations, and regional teams to address Canadian market needs, resolve client issues, and manage deployments. Contributes to product opportunities, financial performance, risk management, compliance, and AI-related technology awareness.

Develop and maintain business-critical applications using Java, Spring, and Angular. Participate in Agile delivery and DevOps automation while managing the full software development lifecycle, including analysis, design, testing, implementation, documentation, and production support. Provide technical guidance to developers and analysts, establish coding and testing standards, analyze complex issues, support business users, and ensure compliance, risk management, and operational controls.

Leads multiple engineering teams developing AI and machine learning solutions, including LLM and RAG architectures. Sets technical direction, oversees hiring and development, manages budgets and resources, establishes engineering standards, resolves complex issues, and aligns delivery with senior stakeholders. The role requires hands-on Java, Python, machine learning, NLP, cloud, containerization, and Kubernetes expertise.

Leads engineering strategy, platform modernization, and delivery for wholesale lending technology platforms supporting loan origination, servicing, syndication, collateral management, and workflow automation. Oversees distributed systems, APIs, Kafka-based event pipelines, cloud infrastructure, CI/CD, security, testing, and resilient releases. Recruits and mentors engineering teams, partners with product, risk, operations, and architecture stakeholders, and drives adoption of GenAI development tools and modern engineering practices.