Top Python Jobs in Toronto

Design, build, and maintain integrations and custom applications across CRM, marketing automation, analytics, and CDP platforms. Implement and configure Adobe and other MarTech tools, work with APIs and data sources to enable personalization and measurement, participate in code reviews and testing, and collaborate with cross-functional teams and clients.

Build and enhance actuarial applications using R Shiny; design responsive UIs with JavaScript/HTML/CSS; create reusable JavaScript components; refactor R code; collaborate with actuaries to translate requirements; build UI test suites and follow software engineering best practices.

Design, develop, and implement AI-enabled solutions to automate and accelerate the software delivery lifecycle. Build AI agents and workflows using tools like Claude Code and Copilot, improve developer productivity, support production applications, troubleshoot incidents, and evolve SDLC into AI-driven ADLC while collaborating with stakeholders across delivery teams.

Senior SDET responsible for designing and implementing automated test frameworks, executing system/E2E and performance tests, integrating tests into CI/CD, collaborating with engineers and product owners, mentoring junior staff, and driving test automation architecture and release activities.

Design, implement, and maintain automated test frameworks and E2E/integration tests for a distributed enterprise application. Perform system, load/performance testing, collaborate with developers and product owners, participate in CI/CD and release activities, and improve test automation reliability and maintainability.

Design, build, optimize, and monitor scalable data products, pipelines, APIs and analytics solutions on Azure. Mentor junior engineers, implement CI/CD and infrastructure-as-code, ensure security and performance, and partner with stakeholders to deliver production-ready data for analytics and automation.

Own and evolve product metrics, investigate anomalies and conversion bottlenecks, validate hypotheses, and identify growth opportunities. Design, monitor, and analyze A/B tests, including sample sizing, randomization, guardrail metrics, tracking requirements, and actionable recommendations. Partner with Product and functional leads to prioritize high-impact problems, maintain metric definitions and experiment archives, and proactively identify data-quality issues.

Part-time AI Application Engineer focused on measuring and improving healthcare AI agent performance in production. Responsibilities include instrumenting agent quality, identifying failure points, designing experiments, analyzing results, and partnering with clinical experts to improve patient outcomes. The role requires Python, strong analytical judgment, comfort with ambiguity, and interest in healthcare. Clinical experience is valued but not required. Engagement is structured as a paid internship or contract role with weekly Bay Area office syncs.

Leads end-to-end delivery of scalable software features and models, including design, development, testing, debugging, code review, CI/CD, performance monitoring, and maintenance. Integrates AI/ML components, translates business needs into technical requirements, collaborates with stakeholders, mentors engineers, and advances engineering practices. The role uses Java, Python, Kafka, Kubernetes, Airflow, and Salesforce within Walmart’s AdTech platform.

Leads development of secure automation and platform features for global client platforms. Builds LLM-enabled agentic workflows using tool calling, prompt evaluation, Graph and REST APIs, and Intune/Jamf integrations. Designs scalable systems, implements GitOps and infrastructure-as-code delivery, writes tests, manages secure auditability, monitors performance, and supports operational excellence. The role also includes code reviews, mentoring, and continuous quality improvement.

Leads revenue operations strategy, GTM systems, top-of-funnel experimentation, AI and automation deployment, data vendor relationships, forecasting, and pipeline optimization. Owns marketing and outbound automation, including API integrations, n8n workflows, scoring pipelines, reporting, monitoring, debugging, and enablement. Partners across Marketing, Sales, and Customer Success to scale revenue processes, validate growth hypotheses, and improve conversion systems.

Own and scale Wrapbook’s analytics layer, including ETL/ELT pipelines, data models, governed metrics, semantic layers, canonical datasets, and self-service analytics tools. Partner with Engineering and business stakeholders to define analytical solutions, ensure data quality, optimize warehouse performance, and maintain production reliability through testing, monitoring, alerting, and incident resolution. Establish analytics engineering standards, mentor team members, document data for human and AI consumers, and evaluate new tools.

Design, build, and operate integrations, APIs, data exchange systems, and AI-enabled connections for accounting and ERP platforms. Own integration pipelines, SLAs, data contracts, observability, and production support. Provide technical direction through architecture reviews, code reviews, and pair programming while partnering cross-functionally on roadmap decisions. The role requires hands-on software development, scalable data architecture, secure integrations, experimentation, and participation in an on-call rotation.

Build and maintain the software engineering backbone of Genesis-World, an open-source multi-physics robotics simulation platform. Responsibilities include scalable testing for JIT-compiled systems, deterministic simulation replay, autodiff integration, scene editing, plugin architecture, actuation, local time stepping, event systems, serialization, telemetry, performance improvements, and legacy refactoring. The role also involves code reviews, issue triage, contributor support, and collaboration with compiler and physics teams across GPU and operating-system platforms.

Develop and ship production-ready physics simulation capabilities for Genesis-World, improving speed, fidelity, completeness, versatility, and scalability. Implement and optimize multi-physics algorithms, constraint solvers, adaptive timesteps, contact resolution, and heterogeneous solver coupling using Python and GPU/CPU backends. Validate methods through analytical solutions, cross-engine comparisons, and real-world data, while delivering tested, documented code for robotics learning pipelines.

Own Quadrants, an open-source Python compiler for performance-critical numerical computing and physics simulation. Lead its API, intermediate representation, lowering, compiler backends, optimization passes, numerical primitives, benchmarks, roadmap, and user adoption. Optimize GPU and CPU execution, maintain system coherence, track regressions, improve usability, and collaborate with Genesis users. The role combines compiler research, GPU engineering, API design, open-source product ownership, and future leadership of a small team.

Own and evolve Wave’s observability platform across backend services, APIs, databases, Kubernetes, cloud, and on-premises systems. Define SLOs, improve alert quality, build internal tooling, support instrumentation, identify reliability and performance issues, and help engineers investigate incidents. The role includes operating observability tools, establishing standards, configuring OpenTelemetry at scale, and controlling platform costs while partnering with infrastructure, database, security, and product engineering teams.

Designs, builds, and maintains scalable batch and real-time data pipelines supporting an IoT safety ecosystem. The role manages ETL/ELT processes, data lakes, warehouses, lakehouses, orchestration, monitoring, data quality, and observability. It partners with product, engineering, analytics, and data science teams to deliver reliable data services, productionize models, and shape long-term data platform architecture using AWS and modern infrastructure practices.

Design, build, and maintain Power Query platform components for secure data connectivity and transformation. Develop scalable, reliable, high-performance systems for query execution, data connectors, and data processing. Collaborate with Power BI, Microsoft Fabric, Excel, and other partner teams to deliver integrated data experiences. Diagnose complex production issues across clients, services, and data sources while improving performance, reliability, and scalability.

Architect and build production AI-powered HR systems using agentic workflows, multi-agent systems, APIs, and workflow automation. Integrate Workday and other HR tools, implement governance, audit logging, privacy controls, and human approval gates, and ensure reliable payroll-adjacent workflows. Document solutions, train People team users, drive adoption, and measure automation impact. The role requires strong software engineering, AI application development, HR technology, Workday, data privacy, and workflow automation experience.

Define technical visions and architecture for products, platforms, and enterprise systems. Evaluate emerging technologies, lead proofs of concept, and design scalable cloud-native, distributed, and hybrid solutions. Establish engineering standards, assess technical risks, conduct architecture reviews, and guide modernization initiatives. Collaborate with customers and stakeholders, support engineering teams through complex decisions, mentor technical leaders, and contribute to product roadmaps, DevOps practices, and technology strategy.

The role involves designing warehouse and logistics systems, creating scalable models, bridging operations with product teams, and continuously validating and refining system outputs for operational efficiency.

Join the Quartus Device Modeling organization to tackle software and hardware challenges in FPGA development, focusing on data abstraction, complex algorithms, and AI/ML integration.

Join the Blocks team to develop and maintain the backend core infrastructure of Pigment's SaaS platform, ensuring scalability and performance. Collaborate with multiple teams to deliver impactful solutions.

As a Technical Art Director, you will guide game development through expert insight, assess technical feasibility, resolve complex issues, and innovate art pipelines while collaborating with teams.