Top Tech Jobs & Startup Jobs in Toronto

Owns requirements and roadmap for enterprise data quality exception management tools. Partners with business, data governance, risk, and technical teams to improve tooling, automate processes, integrate AI capabilities, prioritize backlogs, and ensure effective implementation. Oversees data-related issues, metrics, policy adherence, controls, reporting, and adoption of governance practices while managing competing stakeholder needs and changing requirements.

Design, build, test, and deliver backend services across the full development lifecycle. Make architecture decisions, write high-quality Java and Spring Boot code, use AI tools, review code, mentor engineers, document decisions, and own problems through resolution. The role emphasizes distributed systems, adaptability, engineering excellence, and potential architecture-level ownership.

Owns the lifecycle, operational stability, security, and governance of enterprise GRC and RegTech applications while leading regulatory technology projects. Responsibilities include application availability, change and incident management, access governance, audit and regulatory exam support, control monitoring, remediation tracking, vendor risk management, budgeting, and executive reporting. The role coordinates business risk, compliance, security, audit, engineering, and technology stakeholders across complex regulated environments.

Leads the architecture, development, modernization, and operation of scalable Java enterprise applications. Designs cloud-native microservices, Kafka-based event-driven systems, Oracle persistence layers, REST APIs, and containerized deployments. Provides technical leadership, mentoring, code reviews, and architectural governance while improving CI/CD, testing, security, observability, reliability, and performance. Partners with product, project management, DevOps, and architecture teams to deliver resilient solutions and adopt AI-assisted development tools.

Develop and maintain Java applications for Citi’s Helios financial services platform. Responsibilities include building features with Java and Spring, developing REST APIs, managing SQL queries and database objects, supporting CI pipelines, testing, debugging vulnerabilities, consulting with business and technology teams, and providing operational support throughout the software development lifecycle.

Develop and support enterprise Java applications, leading feasibility, design, development, testing, implementation, security, and operational support. The role requires expertise in scalable cloud-native systems, Kubernetes, Docker, Kafka, databases, APIs, application security, and CI/CD. It advises stakeholders, mentors junior analysts, manages risk and deadlines, evaluates business and system processes, and contributes to technology standards and solutions with limited supervision.

Develop server-side applications for Rates trading technology, translating trading desk needs into scalable, high-throughput solutions. Responsibilities include Java development, microservices and API delivery, technical analysis, testing, SDLC improvement, large-scale project delivery, production support, risk and compliance, and collaboration with global business and technology teams.

Leads application development teams and oversees enterprise-grade AI agent, data engineering, and microservices initiatives. Responsibilities include building GenAI agents with Google ADK and LLMs, developing PySpark and Databricks ELT/ETL pipelines, implementing data federation and Data Mesh architectures, automating cloud-native integrations, managing CI/CD, ensuring data quality and security, and guiding technical strategy, staffing, compliance, and delivery.

Develop and implement new or revised application systems, conduct systems analysis and programming, oversee development through testing and implementation, support business users, assess risks, recommend security measures, and advise junior analysts. The role requires independent judgment, stakeholder consultation, compliance awareness, and expertise in application development and project implementation.

Leads hands-on data science and AI initiatives across statistical modeling, machine learning, Generative AI, agentic workflows, and production implementation. Builds RAG solutions, analytical pipelines, evaluation frameworks, and governed AI services using Python and SQL. Partners with engineering, technology, product, risk, and business teams to deploy scalable solutions while ensuring privacy, explainability, fairness, security, and responsible AI controls. Provides technical leadership, peer guidance, documentation standards, and implementation oversight.