Top Tech Jobs & Startup Jobs in Toronto

Design, develop, and optimize big data solutions using Databricks, Apache Spark, and cloud platforms. Collaborate with teams to ensure high-performance data architectures.

Lead AI and data initiatives, define strategy for data management, oversee evaluation frameworks, and align engineering and product teams for successful delivery.

The Technical Lead will design and implement backend systems, mentor engineers, optimize performance, and manage cloud architecture while ensuring scalable and reliable data processing.

The Senior AI Engineer will design and integrate AI features into backend systems, optimize models, and collaborate with teams for deployment and architecture best practices.

Responsible for managing HR initiatives, ensuring compliance, overseeing talent acquisition, and developing employee performance systems while fostering a positive work culture.

Lead end-to-end delivery of large enterprise cybersecurity programs, manage timelines, risks, dependencies, and stakeholders; drive Agile delivery as Scrum Master; partner with engineering, security, compliance teams; report program health and resolve cross-team roadblocks.

Responsible for bridging enterprise data with AI capabilities, translating business challenges into operational solutions, and driving complex sales deals by connecting technical solutions to business value.

The Senior Manager, Business Operations will lead contract management, support financial operations, ensure compliance, and optimize internal processes while enhancing client relations and business strategy execution.

The Technical Architect develops scalable platforms and systems, collaborates with product teams, and leads architecture across data solutions and integrations, ensuring best practices and mentoring developers.

The Associate AI Engineer will assist in building AI-powered backend services, integrating APIs, and developing data pipelines while collaborating with experienced engineers and teams.