Top Tech Jobs & Startup Jobs in Toronto

The role involves designing and implementing AI features, building APIs, participating in code reviews, and ensuring software scalability and reliability.

The Principal AI Developer will design and implement AI features, drive code reviews, troubleshoot issues, and contribute to technical roadmaps, focusing on scalability and performance for a reliable platform.

Build and scale batch and real-time data pipelines, automate cloud infrastructure and CI/CD, develop ETL and analytics, create reports and dashboards, and partner with stakeholders to deliver data-driven insights.

The Software Developer will modernize Autodesk's Graphics Platform by designing, implementing, and maintaining graphics software, collaborating with developers using Agile methodologies, debugging existing systems and leveraging modern productivity techniques.

Develop high-quality software solutions, mentor junior engineers, document code, perform code reviews, and promote agile methodologies within the team.

The Senior Data Strategist will manage customer data governance, define strategies, and collaborate across departments to improve data quality and usability.

The Senior Org Effectiveness Consultant provides expert advice and support to business leaders in improving organizational health and performance through strategic insights and effective operating models. They collaborate with cross-functional teams to design solutions, assess organizational needs, and implement change management strategies.

Lead technical vision and architecture for security-related platform integrations. Advise senior leadership on application/cloud security and DevSecOps, drive roadmaps, establish secure design standards, solve cross-cutting problems, and mentor senior engineers to improve platform scalability, security, and operations.

Lead and mentor Agile Scrum teams, manage the development of platform solutions, oversee technical strategy, and ensure operational excellence in software delivery.

The role involves leading the development of ML/AI systems, designing data pipelines, deploying ML models, and collaborating across teams to establish best practices.