Top Tech Jobs & Startup Jobs in Toronto

Develop and support full-stack applications for OTC derivatives and Markets Technology. Responsibilities include feasibility analysis, system design, coding, testing, implementation, user support, security improvements, risk assessment, and advising junior analysts. The role requires Java-based REST API development, JavaScript or React proficiency, TDD, clean code, algorithms, SQL, and independent work in a fast-paced financial technology environment.

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.

Lead enterprise Generative AI strategy and engineering: select and deploy LLMs, design RAG and agentic systems, build production GenAI services, establish governance, observability, cost controls, and reusable accelerators while managing senior engineering teams and cross‑functional stakeholders.

Lead the design, development, and deployment of scalable enterprise applications. Own initiatives from inception through production, translate business requirements into secure technical designs, establish coding and architectural standards, resolve complex technical problems, and conduct code reviews. Mentor developers and analysts, collaborate with product and business stakeholders, manage technical dependencies, and ensure compliance, risk management, and high-quality delivery.

Design, develop, test, deploy, and maintain scalable web applications using Angular, .NET, and SQL Server. Participate throughout the software development lifecycle, collaborate with developers, designers, and stakeholders, follow coding and security standards, improve development processes, and stay current with Angular and .NET technologies. The role also involves RESTful API development, Git source control, Agile methodologies, and potentially Java, Elasticsearch, and Kafka.

Leads the architecture, development, optimization, and operation of large-scale batch and real-time data platforms using Spark, Databricks, Kafka, and lakehouse technologies. Designs petabyte-scale pipelines, tunes Spark and SQL performance, manages governance and monitoring, establishes data-modeling and operational standards, and leads a global data engineering team. Advises stakeholders, mentors engineers, manages delivery risks and dependencies, and ensures production readiness, data quality, compliance, and support.

Leads the design, development, support, and architecture of Java/J2EE enterprise applications using Spring Boot. Resolves critical production incidents, performs root cause analysis, improves security and performance, and ensures system integrations. Provides technical leadership, code reviews, mentoring, task assignment, and performance feedback for development teams. Drives innovation by prototyping AI-enabled solutions and adopting emerging technologies, while supporting scalable application delivery and continuous improvement.

Design, develop, and deploy Java and Spring Boot backend applications using MongoDB. Build and integrate AI agents with Google ADK and apply prompt engineering techniques to large language model solutions. Support feasibility studies, estimation, planning, testing, implementation, security, compliance, and business-user operations. Serve as an application development subject matter expert while managing projects independently and advising senior stakeholders.

Participate in full application lifecycle: feasibility, analysis, design, development, testing, implementation, and support. Provide estimates, risk assessment, security recommendations, consult with users, coach junior analysts, and act as SME with limited supervision.

Provide technical and business support for Citi production applications: monitor and resolve incidents, manage releases, perform reconciliations, maintain documentation, assess risk/impact, coordinate with development and stakeholders, and coach junior staff to improve stability and efficiency.