Top Tech Jobs & Startup Jobs in Toronto

The role involves leading engineering teams in product development, driving innovation in software architecture, and integrating AI tools while providing mentorship and technical authority.

Lead Java AI Developer responsible for application systems analysis and programming, enhancing risk management systems, and guiding mid-level developers. Requires in-depth Java and AI tool expertise.

The Lead Full Stack Java Developer is responsible for leading software development, enhancing applications, and collaborating with teams for system improvements while ensuring compliance and ethical standards.

Lead application systems analysis and programming activities, ensuring integration of functions, resolving complex problems, and coaching mid-level developers. Focus on full stack development using Java, JavaScript, and modern architecture principles.

The Senior .NET Developer will lead the establishment of applications systems, focusing on architecture and programming using Microsoft technologies, particularly C# and .NET. This role requires strong problem-solving and communication skills, along with extensive experience in enterprise application development and project management.

The Lead Java Risk Developer leads application systems analysis, supporting risk management in trading, and manages project implementations while guiding developers and ensuring compliance with standards.

As a Kafka DevOps Engineer, you'll support Kafka operations, including incident resolution, system monitoring, and collaboration with engineering teams to ensure service stability and functionality.

The Applications Development Senior Programmer Analyst will lead the implementation of application systems, manage development phases, provide support, and advise junior analysts while ensuring compliance with business practices.

The Full Stack Development Lead Analyst will lead the development and architecture of web applications, mentor engineers, manage projects, and ensure high standards of delivery and coding practices.

Lead design and implementation of scalable Hadoop/Spark big data platforms and pipelines, optimize cluster performance, enforce data security/governance, mentor engineers, and integrate cloud-native services for analytics and near-real-time ingestion.