Top Tech Jobs & Startup Jobs in Toronto

Provide on-site and remote IT support for employees, troubleshoot end-user issues, manage Jira tickets, deploy and maintain systems, administer SaaS platforms, provision accounts and devices, support local network infrastructure, maintain IT assets, monitor security threats, and enforce compliance policies. The role supports the Toronto office five days per week and may independently maintain office technology infrastructure.

Design, develop, launch, and maintain scalable backend systems and APIs used by partners and merchants. Collaborate with engineering teams and stakeholders, balance delivery speed with system quality and reliability, navigate large codebases, debug software, conduct code reviews, and write clear, tested, extensible code using distributed-systems technologies.

Build and operate backend systems supporting post-transaction card account accuracy, issue resolution, and customer communications. Break down projects, deliver work in phases, collaborate with product and cross-functional teams, monitor system metrics, support availability and on-call operations, and contribute to code reviews and interviews. The role requires backend development experience, distributed systems knowledge, and proficiency in Python or Kotlin, AWS, MySQL, and Kubernetes.

Lead the architecture, development, integration, deployment, and support of global financial systems and ERP/EPM platforms. Build scalable data integrations, establish engineering and governance standards, ensure monitoring, security, auditability, and system availability, and partner with Finance, Accounting, Product, and Engineering leaders on the technical roadmap. Manage operational processes, promote quality and ownership, and develop a high-performing team.

Lead revenue analytics by developing business cases, dashboards, KPIs, experiments, and automated analytics solutions. Partner with Client Success, Marketplace, merchants, and cross-functional teams to evaluate performance, guide go-to-market decisions, quantify product value, and identify growth opportunities. The role requires translating structured and unstructured data into actionable insights, standardizing analytical workflows, and communicating recommendations to internal and external stakeholders.

Lead the design, scalability, reliability, and optimization of continuous integration systems across multiple services and platforms. Improve build times, testing, reporting, deployment workflows, monitoring, and incident response. Drive CI/CD strategy and developer productivity initiatives, mentor CI engineers, collaborate across engineering, and align infrastructure with company goals. The role also requires expertise in modern build systems, cloud-native environments, infrastructure as code, and large monorepos.

Lead high-visibility technical transformation and operational programs across engineering, product, analytics, and cross-functional teams. Establish data-driven planning frameworks, improve processes, manage dependencies and risks, align stakeholders, guide investment decisions, and drive organizational change. Develop communication strategies, promote accountability, and enable effective software delivery and continuous improvement at scale.

As a Revenue Operations Analyst II, you'll design and optimize processes for lead management and lifecycle, ensuring efficiency and data integrity while supporting marketing and sales teams.

Evaluate, structure, and price consumer asset-backed transactions; develop capital structuring, pricing, and quantitative loan performance models; and provide insights supporting funding strategy and merchant pricing. Collaborate with Capital Markets, Treasury, Credit, Commercial, Product, Engineering, and other teams to guide funding, product, and business decisions.

Leads multiple Fraud Operations teams focused on disputes and compliance. Responsibilities include developing people leaders and individual contributors, setting operational strategy, improving productivity and quality, managing service levels and queue health, resolving complex risk events, driving cross-functional alignment, and implementing scalable process improvements. The role requires significant fraud operations and people leadership experience, strategic planning, change management, AI-enabled efficiency initiatives, and continuous improvement expertise.