Top Python Jobs in Toronto

This role involves optimizing fabrication processes for photonic quantum computing hardware, including photodiodes, and collaborating with partners and engineers.

As a Staff Software Engineer, you will lead technical strategies, improve system performance, mentor engineers, and navigate complex problems across Carta's products.

The Data Engineer will design and maintain data pipelines on cloud data warehouses, manage integrations with advertising platforms, ensure data quality, and collaborate with cross-functional teams to meet reporting needs.

As a Senior Software Engineer II, you'll lead technically complex projects, drive implementation, simplify systems, mentor peers, and collaborate cross-functionally.

The Senior AI Software Engineer will lead the development of AI-augmented applications, oversee full-stack development, define technical standards, integrate design and development processes, and mentor teams to enhance productivity.

Lead solution delivery across Billing and Maintenance, drive AI-assisted engineering, and mentor vendor development teams while ensuring alignment between architecture and business objectives.

As a Data Developer, you will design and maintain CI/CD pipelines, automate processes, and support scalable cloud infrastructure while ensuring data system reliability and collaborating with various teams to optimize data delivery.

As a Data Developer, you will modernize data systems, develop scalable data pipelines, and maintain ETL processes while ensuring data accuracy and compliance.

Conduct privacy risk assessments, build relationships with teams, analyze data flows, and develop privacy policies for Lyft's products and services.

The Vice President Enterprise Data & Analytics leads the data strategy, oversees data governance, and drives advanced analytics capabilities, enhancing business intelligence and operational excellence.

The Operations Support Engineer ensures high availability of applications by providing L2/L3 support, monitoring Azure environments, troubleshooting issues, and enhancing system reliability through collaboration and automation.

Provide day-to-day operational support for enterprise storage and backup systems (SAN, NAS, cloud), perform provisioning, capacity planning, data migration, monitoring, troubleshooting, disaster recovery testing, automation scripting, documentation, security/compliance tasks, and participate in on-call rotation.

Support network operations by writing automation scripts, assisting with day-to-day network tasks, maintaining documentation and diagrams, completing assigned projects, and researching technical documentation. Collaborate with team members in a hybrid Toronto-based internship.

Build and optimize Databricks-based data pipelines and Delta Lake solutions, capture and process data quality metrics, and create Power BI dashboards for data governance and operational monitoring. Partner with stakeholders to define requirements, implement scalable data models, troubleshoot performance, and promote data engineering best practices, testing, and deployment.

Lead development, validation and monitoring of RESL credit risk models and scorecards using statistical and machine learning methods. Design data-driven acquisition and account-management strategies, run champion/challenger tests, deliver analytics and insights, manage projects, and communicate model outcomes to stakeholders and regulatory teams.

Design, build, and operate scalable ETL/ELT pipelines and data storage for B2B products. Ensure data quality, low-latency performance, CI/CD, testing, monitoring, and technical leadership across cloud-based analytics systems.

Provide production support and technical project management for EDI integrations and trading partners. Design and develop EDI maps and API/microservice solutions using Java, SQL, Python and cloud-native, event-driven architectures. Lead communications with business and IT stakeholders, implement DevOps processes, monitor and troubleshoot systems, and deliver scalable software components in a homegrown ERP environment.

Lead QA strategy and execution, design and scale automation frameworks for UI/API/end-to-end testing, integrate tests into CI/CD, mentor QA engineers, oversee test planning and defect management, and drive quality metrics and governance across releases.

Design, develop, and deploy generative AI solutions (LLMs, RAG, vector DBs, agentic AI) for financial applications. Build AI agents, implement RAG pipelines, fine-tune and evaluate models, collaborate with engineering to productionize models (CI/CD, containers, cloud), and communicate results to stakeholders.

Design, deploy, and operate Azure cloud and Kubernetes infrastructure for a digital credential mobile wallet. Implement app attestation, CI/CD, DevSecOps, observability, load testing, and secure integrations with databases and event systems. Produce runbooks, mentor engineers, and ensure compliance with identity trust frameworks and enterprise cybersecurity policies.

Lead AML process engineering and improvement initiatives: analyze, design, test, implement, and realize benefits. Use statistical analysis and Lean Six Sigma tools, drive change management, manage projects, collaborate with stakeholders, and recommend process simplifications to enhance quality, speed, risk mitigation, and capacity.

The Senior Software Engineer will lead architectural design, develop APIs, mentor junior developers, improve CI/CD processes, and drive performance enhancements for mission-critical training applications.

As a Forward Deployed Engineer, you will deploy and support software in secure client environments, troubleshoot complex issues, and ensure effective integration with existing systems. Responsibilities include installation, configuration, client engagement, and refining delivery practices.

The Data Scientist will develop data labeling strategies, optimize datasets for LLMs, analyze data quality, and collaborate with engineering on data processing pipelines.

The Senior Software Engineer will develop mission simulation infrastructure, integrating various systems and ensuring safety-critical features for autonomous firefighting operations.