Top Tech Jobs & Startup Jobs in Toronto

As a Data Developer, you will design and maintain CI/CD pipelines, automate processes, and support scalable cloud infrastructure while ensuring data system reliability and collaborating with various teams to optimize data delivery.

As a Senior Machine Learning Developer, you'll design, develop, and maintain machine learning models, collaborate with teams, and present technical solutions to non-technical members while working with large datasets.

As a Senior Portfolio Release Manager, you will orchestrate product releases, manage risks, coordinate cross-team communication, and improve release processes to ensure quality and timely delivery while aligning stakeholders and managing the release calendar.

You will lead full-stack development and manage engineering teams responsible for building scalable web platforms and search systems using ML techniques.

As an Associate Oracle EBS Developer, you'll customize and support Oracle EBS financial modules, enhance efficiency, and collaborate to improve financial processes.

Lead the vision, strategy, and delivery of Oracle ERP and financial data platforms. Develop a team of Product Managers, overseeing product execution and metrics for financial systems.

The Product Manager will drive the strategy and execution of financial capabilities within the FinTech platform, ensuring data accuracy and visibility while collaborating across teams to improve outcomes and support finance workflows.

The Development Manager leads engineering teams, ensuring timely delivery of high-quality solutions, fosters talent development, and drives technical innovation. They collaborate with cross-functional teams and enforce standards for performance and security in software solutions.

The Product Manager for the AI/ML Platform will lead product strategy, prioritize backlogs, manage vendors, and ensure successful adoption of AI platforms across the organization.

As a Senior DevOps Developer, you will lead initiatives to design, implement, and maintain infrastructure for the data engineering and ML teams while ensuring reliable deployments and collaboratation with various technical teams.