Top Java Developer Jobs in Toronto

The Principal Software Data Engineer will design, develop, and maintain data platforms and pipelines, mentor teams, and drive technical excellence in data solutions, focusing on microservices architecture and scalability.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.

As a Senior Software Engineer, you will develop and maintain software for healthcare applications, utilizing big data technologies and programming languages, ensuring high-quality code and system performance.

Evaluate, rank, repair, and refactor AI-generated code to improve correctness, efficiency, and style; provide detailed written feedback for RLHF pipelines; and help maintain the code-evaluation and training workflow remotely.

As a Staff Software Engineer, you will design and develop scalable software solutions, contribute to cloud-native architecture, ensure high code quality, and collaborate across teams.

As a Principal Software Engineer at Veeva, you'll lead the development of scalable enterprise applications, mentor engineers, and ensure high-quality coding and best practices.

The Software Engineer will design and implement cloud-based product features, write clean code, mentor junior developers, and work in agile environments.

The Senior Java Engineer will lead and innovate enterprise-scale applications in a collaborative environment, mentoring junior engineers and focusing on backend development.

The Software Engineer will design and implement cloud-based features, write clean and testable code, mentor junior developers, and work in agile environments.

As a Principal Software Engineer at Veeva, you will own software feature implementations, mentor teams, and ensure high code quality while developing scalable enterprise applications.

As a Senior Software Engineer, you'll develop scalable applications, mentor junior engineers, and collaborate with teams to drive feature innovation in enterprise cloud software.

Build and maintain massively scalable backend systems for mobile security analysis. Design distributed cloud services, enable app processing and detection engines, collaborate with security research and ML teams, and drive features from conception to production.