Top Python Jobs in Toronto

As a Lead Backend Engineer, you'll advance the DaVinci platform, driving the development of scalable solutions while collaborating with stakeholders to define complex requirements. Responsibilities include designing systems for business value, conducting design reviews, and mentoring junior developers, all while ensuring technical excellence.

The Senior Software Engineer at Morningstar will be responsible for building scalable products using C# and .NET while collaborating with product managers and team members. The role includes OO design, AWS technologies, supporting various databases, and maintaining code quality through best practices and testing. The candidate will take ownership of projects, participate in on-call support, and contribute to product vision improvements.

Seeking a Senior Software Engineer with full-stack expertise to develop new systems and maintain existing applications. Must have strong software engineering experience in building Web-based applications.

As a Lead Backend Engineer specializing in integrations, you will design, develop, and maintain secure connections between the company's product and third-party marketing technology, addressing integration issues to ensure seamless client experiences, while adhering to software development best practices.

As a Principal Data Engineer at Movable Ink, you will lead the development of the Data Warehouse and manage data pipelines across various business systems, ensuring high performance and compliance with data regulations. Your role includes mentoring team members and optimizing data processing for seamless data access.

The Machine Learning Engineer Lead will manage and develop the ML Engineering group, implement machine learning algorithms, assist the Data Science team, and collaborate with data engineers to enhance data and model pipelines while maximizing the ROI on data and technology.

The Staff Machine Learning Engineer will lead projects within the Square Conversational AI team, focusing on building scalable machine learning solutions. Responsibilities include collaborating with business leaders, developing ML products, mentoring team members, and overseeing the entire ML lifecycle from data collection to production.

The Release Engineer will manage and orchestrate software release processes for the Data, AI, and Analytics team. Responsibilities include overseeing deployment orchestration, environment configuration, CI/CD pipeline management, and collaborating with cross-functional teams to ensure successful deployments and adherence to security standards, while maintaining documentation.

The role involves developing scalable systems for Square's Identity Platform, focusing on authentication, authorization, and onboarding solutions. You will collaborate with cross-functional teams, guide platform design, mentor fellow engineers, and foster a positive team culture.

The Senior Machine Learning Engineer will design and maintain machine learning systems to detect fraud in real-time, collaborating with ML Modelers and Software Engineers on data sources and models. Responsibilities include solving technical problems at scale and owning solutions from design to operation.

As a Staff Software Engineer on the Afterpay Media Network team, you will collaborate with cross-functional teams to build and optimize data systems, deploy machine learning models, and develop scalable data warehouses. You will work on API development, integrate various advertising tools, and maintain high data quality to enhance advertising solutions across multiple channels.

The Senior Machine Learning Engineer will design and maintain ML systems to detect fraud in real-time, collaborating with ML Modelers and Software Engineers. Key responsibilities include developing risk pipelines, integrating new data sources, and solving technical challenges in a fast-paced environment.

As a Senior Software Engineer on the Accounts & Security team, you will design and develop new authentication methods, ensure successful project delivery, collaborate on long-term architecture strategies, and maintain the codebase's quality, addressing technical challenges along the way.

The Quality Engineer (Automation/Test) is responsible for creating test cases and automation scripts, maintaining automation tools, and managing test environments. They will facilitate team needs, contribute to a knowledge base, participate in defect management, and learn new technologies to enhance testing capabilities.

The Manager, Technology Architecture, Solution Architect will lead the design and management of cloud solutions prioritizing security and scalability. Responsibilities include implementing Infrastructure as Code using Terraform, managing a team of cloud engineers, and collaborating globally for high availability. The candidate should possess strong technical and leadership skills.

The Information Systems Engineer will manage and optimize IT infrastructure, resolve escalated support tickets, ensure system compliance and security, and lead IT projects. This role requires expertise in cloud platforms, Okta configurations, network management, and automation using Python and Terraform.

The Machine Learning Engineer will build and deploy models to assess risks in the payments domain, collaborate across teams, develop scalable frameworks for analysis, and communicate findings to stakeholders. The role requires deep knowledge in machine learning, statistical techniques, and programming.