Top Tech Jobs & Startup Jobs in Toronto

Lead end-to-end development of FinTech analytical platforms, interactive dashboards, distributed query systems, low-latency Java microservices, ETL pipelines, and enterprise reporting engines. Build MCP servers that securely connect AI agents to enterprise data. Apply Angular, React, Starburst, and Aspose technologies while reviewing AI-generated code for security and production readiness. Mentor engineers and translate corporate and investment banking workflows into high-performance applications.

Leads financial and regulatory reporting under US GAAP, US regulatory, and local statutory requirements. Responsibilities include closing books, consolidating financials, preparing adjustment entries, implementing controls and policies, supporting strategic planning, analyzing reporting processes, advising senior stakeholders, mentoring team members, and managing compliance and risk.

Leads enterprise talent planning, succession management, talent identification, policy controls, and executive bench-strength initiatives. Partners with the CHRO, senior leaders, business heads, and the Board to establish global talent processes, deliver succession insights, and strengthen leadership pipelines. Uses talent analytics and strategic storytelling to inform executive decisions, tracks workforce and leadership metrics, and promotes accountability, compliance, and risk management across talent programs.

Develop scalable software in an agile environment, write and debug code, support testing and production deployments, participate in peer reviews, and learn through structured training. Potential work areas include back-end, front-end, mobile, generative AI, AI agents, and data analytics. The role involves collaborating globally on technology projects supporting banking platforms and client solutions.

Supports and optimizes critical live production systems by monitoring application environments, managing incidents and problems, troubleshooting technical issues, improving alerting, and developing automation. The role uses Linux/Unix, databases, Python, monitoring tools, cloud, containers, and web technologies while coordinating with developers, business teams, and global technology partners to maintain stable, resilient services.

Develop and support financial applications, shell-script automation, ETL pipelines, data workflows, and job scheduling systems. Responsibilities include writing and optimizing Bash scripts and SQL queries, validating financial data, troubleshooting production issues, testing applications, identifying security vulnerabilities, and supporting Unix/Linux environments. The analyst collaborates with technology and business teams, recommends system enhancements, manages risks, and coaches junior colleagues.

Designs, builds, and deploys production-grade agentic AI and generative AI solutions for banking. Responsibilities include developing LLM-driven full-stack applications, integrating multiple AI providers, creating evaluation and optimization frameworks, researching emerging AI technologies, and delivering resilient microservices-based platforms. The role requires hands-on software engineering, architecture expertise, collaboration with cross-functional teams, technical mentorship, and alignment of AI solutions with regulated financial services requirements.

Leads application systems analysis and software development, establishing architectures, coding standards, testing practices, and implementation strategies. Partners with management and technology teams to deliver system enhancements, products, and process improvements. Designs distributed, multithreaded, microservices-based applications; analyzes performance; automates SDLC processes; resolves complex technical problems; and mentors developers and analysts while ensuring compliance and risk management.

Design, build, and deploy enterprise-grade agentic AI and generative AI solutions for banking. Develop full-stack LLM applications, integrate multiple model providers, establish evaluation and feedback systems, and research emerging AI technologies. Collaborate in agile teams, ensure security, reliability, and regulatory alignment, and mentor junior engineers while delivering production-ready capabilities through rapid, MVP-focused iteration.

Develop and maintain scalable, resilient Java applications for a cloud-native operations workflow and case management platform. Design solutions, write and test code, promote engineering best practices, participate in Scrum ceremonies, and collaborate with product owners, architects, QA, and business stakeholders. The role uses Kubernetes, Docker, Kafka, databases, APIs, security practices, and CI/CD technologies to deliver financial technology solutions.