Top Tech Jobs & Startup Jobs in Toronto

The Manager of Software Engineering for Data Lake will lead a team of developers to design, develop, and scale the Data Lake platform. Responsibilities include strategic leadership, overseeing platform development and delivery, ensuring operational excellence, and fostering continuous improvement.

The Staff Data Engineer will design and implement scalable data solutions, optimize data infrastructure, support Business Intelligence product development, and manage data workflows. The role involves collaboration with stakeholders to ensure alignment between data solutions and business requirements, while utilizing cloud-native technologies.

As a Senior Software Engineer, you will develop and maintain robust web applications and microservices, collaborate with teams to create innovative solutions, and ensure high-quality technical implementations while handling user interactions and integrating with third-party APIs.

Lead strategic customer support for several key accounts, collaborating with various teams to enhance the support experience. Perform analysis of support cases, track customer trends, and participate in improvement initiatives. Act as a key contact for customer technical inquiries and represent support in client meetings.

The Associate Product Instructor will be responsible for training clients on Applied products, completing onboarding assessments, delivering training in a co-teaching capacity, and preparing engagement follow-ups. They will focus on client training during the implementation process and advance their own knowledge for more challenging courses.

The Director of Cloud Operations will lead global SaaS strategy execution, enhance customer experience, ensure operational excellence, and manage a 24/7 cloud operations team. Responsibilities include directing team initiatives, problem resolution, establishing metrics for performance, and driving process improvements while overseeing team leadership and skill development.

The Senior Data Scientist will lead the development and implementation of advanced AI solutions, focusing on building cloud-native AI systems and algorithms that drive business value. Responsibilities include designing models, conducting research, collaborating with teams, and ensuring the quality and accuracy of AI processes from data acquisition to deployment.