Top Tech Jobs & Startup Jobs in Toronto

The Senior Cloud Platform Engineer will design and build a cloud self-serve platform, focusing on Azure, implementing automation, deployment pipelines, and core platform components.

The Principal Cloud Platform Engineer will lead the architecture and evolution of Azure cloud platforms, ensuring automation, compliance, and secure environments while mentoring mid-level and junior engineers.

The Senior Manager of Data Engineering leads a team in developing data and AI products, guiding architecture and design, and ensuring process improvements while managing stakeholder expectations and technical implementation.

The Campaign Execution Manager oversees the delivery of data-driven campaigns targeting customer acquisition and retention, ensuring compliance and optimizing performance through analytics and stakeholder collaboration.

The Senior Manager will lead the design and execution of the Mortgage Renewal Lifecycle, focusing on customer retention and delivering personalized experiences. They will manage cross-functional efforts and ensure effective engagement throughout the renewal process, creating strategies to optimize customer relationships and measuring performance through key indicators.

The Manager supports designing and optimizing the Mortgage Renewal Lifecycle journey, coordinating cross-functional teams for improved customer experience, delivery execution, performance tracking, and risk governance, focusing on relationship-driven renewals.

The Associate Director manages the settlement and confirmation lifecycle for physical precious metals transactions, ensuring accuracy and compliance. Responsibilities include settlement execution, confirmations management, reconciliations, and stakeholder collaboration.

The role involves managing audit engagements in commercial lending, ensuring internal control compliance, leading strategic initiatives, and providing insights to senior management and the Board of Directors.

The Enterprise Architect leads the development of AI and Data architecture, aligning technology with business needs while ensuring adherence to governance standards. They provide strategic guidance, collaborate with stakeholders, and utilize advanced technologies to enhance solutions and processes.

Lead the design, training, and scaling of transformer-based models, while developing ML systems and enhancing data pipelines. Collaborate to ensure model performance and applicability to business needs.