Top Python Jobs in Toronto

Analyze energy use, market data, clean energy technologies, and energy-efficiency opportunities. Develop and improve analytical models, conduct market research, evaluate clean energy programs and policies, and present findings through clear reports and data visualizations. The role supports governments, utilities, and nonprofit clients across Canada and the United States in advancing decarbonization and energy transition strategies.

Lead enterprise-wide QA architecture and testing strategy, with emphasis on ERP-to-ERP migrations. Design automated functional, integration, performance, security, data validation, and regression testing solutions; coordinate test execution, defect triage, reporting, and issue resolution. Drive Azure DevOps and CI/CD-integrated testing, mentor QA engineers, evaluate tools, and ensure system reliability, scalability, data integrity, and business-process continuity.

Owns daily MDM operations, data ingestion, reconciliation, issue management, data quality measurement, and integrity controls. Leads root cause analysis, remediation, governance standards, lineage, and data requirements across projects and change initiatives. Drives continuous improvement, automation, operational reporting, stakeholder alignment, and mentoring across enterprise data teams.

Designs, develops, tests, maintains, and debugs software for naval systems and military products. Translates functional requirements into software capabilities, creates technical specifications and test plans, maintains defect tracking and documentation, and supports software quality processes. Provides in-field support, collaborates with engineering and project teams, and contributes to improved programming practices. Experience with real-time operating systems, servo drive applications, and naval systems is relevant.

Build and optimize production-grade agentic AI systems for marketing and enterprise customer experience use cases. Responsibilities include agent orchestration, tool use, RAG, embeddings, guardrails, LLM evaluation, observability, performance optimization, and scalable Python services deployed on AWS. The role partners across product and engineering teams and requires hands-on experience with LLM agents, marketing data platforms, retrieval systems, and AI evaluation.

Build and own low-latency, highly scalable backend APIs and data systems for transaction enrichment. Design infrastructure, implement data pipelines, debug production issues, and collaborate cross-functionally to deliver reliable products processing billions of transactions.

The Information Systems Engineer will design integrations and enhance engineering processes across various business systems, focusing on scalability and efficiency. Responsibilities include collaborating with teams to implement systems solutions, optimizing integrations, monitoring performance, and supporting production applications.

The Staff Data Analyst will lead data strategy for Compliance, analyzing regulatory engagements, and driving effectiveness through actionable insights and collaboration across various teams.

Build and own technically complex, mission-critical full-stack systems and AI-powered products. Define technical strategy, design and ship end-to-end features across backend, frontend, and mobile, and scale data ingestion and APIs. Lead cross-team projects, mentor engineers, drive technical standards, and partner with product, design, and customer teams to deliver measurable impact.

Leads a data engineering team responsible for large-scale streaming and batch ingestion pipelines, data transformations, and semantic data domains. Oversees architecture, implementation, reliability, observability, performance, and data quality improvements while mentoring engineers and driving delivery. Collaborates with product, engineering, support, and business teams, and promotes AI-assisted development and modern data architecture.

Designs, builds, tests, deploys, and operates reusable enterprise integrations using Workato and modern APIs. Responsibilities include developing custom connectors and data mappings, managing authentication, error handling, observability, security, and deployment practices, and collaborating with partner engineering, Product, Engineering, Alliances, and Solution Consulting teams. The role also provides technical scoping, proofs of concept, escalation support, documentation, and AI-assisted engineering while ensuring production quality and maintainability.

The Senior Site Reliability Engineer at iManage will build and maintain resilient platforms, drive reliability best practices, and support cloud infrastructure with automation and scalable solutions.

Design and build scalable Python backend applications and RESTful APIs, develop and optimize prompts and Generative AI solutions (LLMs), integrate AI capabilities into enterprise systems, collaborate with architects and data specialists, and contribute to code reviews and continuous improvement.

Develop scalable Java Spring Boot APIs, microservices, React-based interfaces, ETL pipelines, and SQL data solutions. Deploy workloads on AWS, optimize performance, implement monitoring and automation, and collaborate with product, frontend, data, and DevOps teams. The role also contributes to architecture, accessibility, reliability, and data-driven product improvements.

The Senior Services Consultant leads technical delivery for customers, ensuring technically sound solutions. Responsibilities include design documentation, configuring services on AWS, and training clients.

Develop high-performance C/C++ SDK software for Nokia’s coherent DSP ASICs and optical networking products on Linux. Collaborate with ASIC, firmware, hardware, and architecture teams across pre-silicon development and post-silicon validation. Build APIs, frameworks, and automation solutions while addressing hardware-software integration, performance, testing, debugging, and system quality challenges.

Architect, build, deploy, and operate production-grade AI agentic systems and workflows. Responsibilities include backend and full-stack development, agent orchestration, workflow state, retrieval, memory, approvals, failure recovery, data architecture, enterprise integrations, cloud infrastructure, observability, security, and scaling. The role establishes reusable engineering patterns and partners with users to deliver reliable AI products, while addressing production issues involving model behavior, permissions, latency, cost, and consistency.

Lead and mentor a cross-functional engineering team building growth-critical platforms, AI-driven tools, automations, and user engagement systems. Partner with Product and Design to prioritize work, guide architecture, improve processes, and deliver reliable production features. The role combines people leadership with hands-on backend software development, technical decision-making, stakeholder communication, and team enablement across distributed time zones.

Design and build real-time, highly concurrent software and cloud-native systems for an AI-powered emergency communications platform. Integrate and deploy LLMs, optimize voice and audio-processing pipelines, and support speech recognition, synthesis, detection, and filtering. Contribute to infrastructure, observability, security, scalability, and fault tolerance. Provide technical leadership through architecture decisions, code reviews, mentoring, and engineering best practices.

Test and validate novel hardware systems in a hands-on laboratory environment. Responsibilities include operating test and measurement equipment, diagnosing issues, analyzing and visualizing data with Python or MATLAB, maintaining detailed records, troubleshooting experiments, and independently understanding results before proceeding. The role is on-site in the San Francisco Bay Area and requires U.S. citizenship.

Lead AI transformation across Sales, Marketing, Customer Success, Partnerships, and Revenue Operations. Identify high-value opportunities, design and deploy production AI agents, agentic workflows, automations, integrations, and enterprise solutions, then drive adoption and measure business impact. Partner with functional leaders, make sound decisions about AI suitability, redesign operating models, improve reliability and governance, and mentor colleagues while establishing reusable standards across the organization.

Lead end-to-end AI product development: design, build, deploy, and iterate AI-native features (agents, RAG, tool-use). Own full stack (frontend, backend, data, model integration), establish feedback loops (evals, telemetry), partner with product and operations, and make pragmatic build-vs-buy decisions to deliver production-quality AI features for restaurant operations.

Supports Canadian industry, consumer, brand, and competitor research; prepares strategic insights and recommendations; develops dashboards and reports; uses analytics, automation, visualization, and AI tools to improve decision-making; collaborates cross-functionally with business teams; and supports leadership meeting planning, agendas, discussions, and action tracking.

Lead modernization of a 30-year-old Store Management System by reverse engineering EZC file-based platforms, migrating data and applications to PostgreSQL, and developing enterprise C/C++ software. Responsibilities include architecture, systems integration, APIs, ETL, performance optimization, troubleshooting, documentation, and maintaining business continuity. The role also applies AI-assisted development tools for code analysis, documentation, testing, and modernization while mentoring teams and supporting legacy and modern environments.

Lead architecture and development of secure, high-scale Python and FastAPI payment infrastructure for AI-agent transactions. Design APIs for tokenization, mandates, authentication, attestation, and cryptogram workflows; own security, reliability, observability, testing, Kubernetes provisioning, and production operations. Drive technical initiatives, design reviews, and cross-functional collaboration with product, security, infrastructure, platform, and card-network partners while applying AI-assisted engineering practices.