Top Python Jobs in Toronto

As an Embedded QA Engineer, you will develop and execute test plans for embedded systems, perform various testing methods, and collaborate with development teams to ensure product quality and reliability.

Lead engineering for agentic, domain-focused AI services, convert research into production-grade microservices, and optimize ML workflows and models.

Responsible for managing product strategies, analyzing market and customer data to propose enhancements, and collaborating across teams for implementation.

As a Full-Stack Engineer, you will enhance BuildOps' software platform, develop APIs, write code, mentor junior engineers, and ensure quality software delivery.

As a Principal Software Engineer, you'll architect and develop backend platforms for mobile games, lead technical initiatives, mentor engineers, and ensure robust solutions by collaborating across teams.

The role requires backend engineering experience, proficiency in Go or another language, and skills in scalability, databases, and SDK development for high-scale features.

Lead and enhance the organization's technical infrastructure focusing on AWS and system reliability, ensuring robust, secure, scalable systems.

The Senior Associate Data Engineer designs, builds, and maintains data systems, focusing on efficient data processing and architecture. Responsibilities include optimizing ETL processes, ensuring data quality, and providing technical guidance to junior engineers while collaborating with cross-functional teams.

The Data Engineering Lead oversees the design and implementation of data systems, ensuring performance and governance while mentoring junior engineers.

The Technical Account Manager will develop customer relationships, provide technical support, and ensure that customers achieve success with the Samsara platform, while collaborating with internal teams.

Lead a Data Engineering team to build Mastercard's global marketing data platform, focusing on data quality, governance, and developing scalable data solutions.

Lead the design, development, and delivery of risk assessment software. Mentor a team, ensuring high-quality standards and innovation in technology solutions.

As a Senior AI Engineer, you'll develop AI systems, work with LLMs, enhance backend services, and ensure safe AI solutions while collaborating with teams.

The Senior Specialist will develop and execute strategies for Mastercard's small business segment, collaborating with internal teams and external stakeholders, while leading quantitative analyses and presenting findings to executives.

Lead the design and development of risk assessment software solutions, ensuring maintainability and high performance; conduct testing and collaborate on code quality. Create full-stack applications using various technologies and improve existing systems.

The Senior Software Engineer will design, develop, and maintain scalable software solutions, oversee the software development lifecycle, and improve system performance and user experience.

The Senior Security Architect will design and implement security solutions, guide teams on secure practices, and ensure applications are resilient against threats, while leading assessments and establishing enterprise-wide security policies.

The Senior Consultant, Cards & Market Intelligence provides strategic insights and market analysis in the financial services sector, specifically credit cards, driving growth and client engagement through data-driven solutions and cross-functional collaboration.

The Escalation Engineer at MongoDB will solve complex customer issues, mentor team members, and contribute to internal projects, requiring a strong technical background and customer leadership skills.

The Senior Staff Software Engineer leads software development projects, enhances engineering practices, mentors junior staff, and collaborates on technology strategies.

Responsible for executing risk-based compliance transaction and control testing, analyzing data, and collaborating with business partners on test results. Requires excellent analytical skills, communication, and attention to detail.

As a Senior Deep Learning Scientist at Block, you'll lead advanced machine learning projects focusing on deep learning and reinforcement learning, collaborate across teams, and innovate risk management solutions.

As a Software Architect, you will design scalable backend services, optimize system performance, guide technical standards, and mentor engineers within Zynga's Mobile Game Tech team.

The Software Engineer will design and build scalable backend services, collaborate with product teams, and improve system performance while handling millions of requests and terabytes of data.

The Machine Learning Engineer will build and deploy data products, collaborate cross-functionally, improve customer experiences, and mentor others in AI methods.