Top Python Jobs in Toronto

Build backend infrastructure and APIs to integrate Lyft with emerging AI ecosystems and devices. Design scalable distributed systems, mentor engineers, drive high-impact projects, write and review maintainable code, participate in on-call rotation, and collaborate cross-functionally to deliver production-grade AI-enabled features.

Design secure, scalable payment infrastructure solutions for prospective and existing customers. Lead technical discovery, map complex payment flows, create architectures, demos, proposals, proofs of concept, and implementation handoffs. Advise on tokenization, PCI scope reduction, processor connectivity, payment portability, resiliency, and compliance. Partner with Sales, Account Management, Product, Engineering, and customer technical teams, provide launch oversight, influence product strategy, and develop reusable integration assets and reference architectures.

Lead modernization of complex SQL Server stored procedures and design AI-native data infrastructure. Responsibilities include domain-driven data architecture, event-driven patterns, vector databases, embedding pipelines, semantic models, knowledge graphs, RAG evaluation, multi-platform data solutions, governance, and AI-assisted database tooling. The role partners across engineering and AI/ML teams, establishes reference architectures, mentors engineers, and contributes to enterprise data standards.

Build scalable, high-performance consumer applications using computer vision and 3D experiences. Lead projects from concept through launch, own front-end systems, participate in architecture and design discussions, mentor engineers, improve development practices, support partners, and contribute to hiring and engineering culture.

Build scalable, high-performance front-end solutions for 3D interior-decor experiences using computer vision. Collaborate with product, design, stakeholders, and engineering teams to deliver customer-focused features. Own systems through development, deployment, operation, and continuous improvement while supporting partners and maintaining high quality. The role offers mentorship and growth in a remote-first environment.

Lead the technical direction of Device Infrastructure Services across approximately 2,000 endpoints. Define and execute a GitOps and DevOps transformation, develop secure AI-assisted operations, establish device health and remediation standards, resolve high-severity macOS and Windows incidents, evaluate tooling, guide build-versus-buy decisions, collaborate cross-functionally, and mentor engineers.

Lead platform engineering for high-scale, multi-region AWS payment infrastructure. Architect immutable, highly available, self-healing systems; automate infrastructure through Terraform, GitOps, CI/CD, and Kubernetes; establish observability with Prometheus, Grafana, and OpenTelemetry; own incident management and resiliency improvements; design private connectivity; and mentor engineers while driving organization-wide platform standards.

Leads validation, integration, interoperability testing, and customer issue support for optical coherent pluggable firmware. Develops manual and automated tests using Python and the PACE platform, analyzes test reports and logs, investigates firmware defects, and maintains Ottawa laboratory equipment. Collaborates with scrum and cross-functional teams, documents procedures and results, and provides on-site lab support at least three days per week.

Design and lead scalable data engineering solutions using Databricks and Azure. Establish enterprise data modeling and engineering standards, architect pipelines and integrations, improve platform reliability and performance, guide modernization and cloud migrations, troubleshoot complex issues, and mentor data engineers while ensuring security, quality, and governance.

Design, develop, and maintain scalable data pipelines, models, ingestion, transformation, and integration solutions using Databricks and Microsoft Azure. Troubleshoot performance and data quality issues, optimize workflows, support migrations and modernization, and collaborate with architecture and engineering teams. Translate business requirements into technical solutions while following security, governance, quality, and engineering best practices.

Build and oversee energy market models using PLEXOS, analyze power-market fundamentals and datasets, support customer use cases, shape go-to-market strategies, and provide industry thought leadership. The role requires nodal and production-cost modeling expertise across multiple ISOs, customer engagement, strong analytical and communication skills, and the ability to independently solve complex energy-market problems.

Supports and improves cloud and on-premises infrastructure across Windows and Linux environments. Responsibilities include troubleshooting incidents, managing system maintenance, patching, upgrades, vulnerability remediation, automation, configuration management, and infrastructure reliability. The role collaborates with Oracle, network, compliance, security, application, and vendor teams to execute projects and drive continuous improvement, including cloud cost optimization and support for security- and compliance-regulated environments.

Design and build a next-generation reliability platform for production systems, lead delivery of quarterly goals, collaborate across product/design/analytics, support operations and on-call, set code and design standards, mentor engineers, and integrate AI/LLM-assisted tooling to improve service health and debugging.

Lead and deliver backend batch infrastructure work: own quarterly goals, design and build reliable scalable compute for batch workloads, collaborate with product and stakeholders, run ops/on-call, set code/design standards, mentor engineers, and drive platform reliability and performance.

Build and operate secure, scalable, observable infrastructure for AI platforms, web applications, APIs, backend services, and shared platforms across Azure and OCI. Manage Kubernetes environments, cloud networking, CI/CD pipelines, infrastructure automation, databases, caches, queues, monitoring, incident response, reliability, and cost optimization. Translate technical designs into production-ready infrastructure and create reusable platform patterns. Collaborate with AI, application, and architecture teams while troubleshooting across application and infrastructure boundaries.

Lead enterprise deployments of Tines, integrating the platform with customer systems and configuring workflows. Drive adoption through training, workshops, troubleshooting, and executive communication. Identify new use cases, expand platform value, maintain strategic customer relationships, and communicate customer insights to Engineering, Product, and go-to-market teams. The role requires strong Python development, production LLM and AI experience, autonomous ownership, and 20–40% travel to customer sites.

Build and own scalable data models for PlayStation game analytics, supporting new title launches and efficient, consistent querying. Collaborate with game studios and analysts to design and validate in-game telemetry, translate business needs into data solutions, and expand use of dbt and Airflow. Prioritize performance, consistency, quality, testing, and repeatable database development across analytics platforms.

The Data Engineer is responsible for designing and optimizing data pipelines, ensuring data integration, and collaborating with teams on AI-driven applications.

As a Software Architect at Air Apps, you will define the architecture for AI-powered solutions, lead engineering teams, design scalable systems, and ensure security and efficiency in system integration.

The role involves designing and maintaining automated test frameworks for web and mobile applications, integrating tests in CI/CD pipelines, and collaborating with teams to ensure software quality and reliability.

As a Site Reliability Engineer at Air Apps, you'll ensure systems' reliability and scalability, develop automation, monitoring, and performance strategies, and collaborate closely with teams on system design improvements.

The QA Engineer will ensure the quality and performance of mobile applications by conducting testing, automating tests, and working closely with development teams to detect bugs and improve user experience.

As a Data Analyst, you will analyze user behavior, create interactive dashboards, and collaborate with teams to provide actionable insights for product improvement.

As a Systems Administrator, you will manage IT infrastructure, user access, SaaS tools, network security, and provide technical support to employees.

As a Systems Administrator, manage corporate IT infrastructure, user access, cloud tools, and network security, while providing technical support and optimizing operations.