Top Python Jobs in Toronto

Own month-end close, financial reporting, variance analysis, transactional accounting, billing operations, payroll, benefits, commissions, equity, tax compliance, audit readiness, controls, and rolling forecasts. Lead an AI-native ERP migration, configure finance systems, deploy AI agents to automate workflows, and support multi-entity international operations while partnering directly with the CFO.

Leads the design and delivery of scalable data pipelines, dbt models, orchestration workflows, and analytical data models. Establishes data architecture, engineering standards, testing, observability, governance, and quality practices. Partners with stakeholders to deliver data-driven solutions, supports incident response, and provides technical leadership through design reviews, mentorship, hiring, and team development.

Design, build, ship, and own high-scale, user-facing product features across frontend, backend, and data systems. Define problems, scope and prioritize work, collaborate with Product, monitor production usage, debug incidents, improve reliability, review code, and mentor engineers. The role requires strong backend expertise alongside React proficiency and ownership from product discovery through long-term maintenance.

Design, build, ship, and own backend product features used by developers and mobile app users at large scale. Scope projects, write reliable and tested code, monitor production systems, participate in architecture and roadmap decisions, respond to incidents, improve scalability and performance, communicate remotely, and mentor engineers. The role requires end-to-end ownership from problem definition through rollout and long-term maintenance.

Build and operate automated compute-capacity systems across regions, including forecasting, provisioning, reservations, fleet reconciliation, drift detection, observability, alerting, and cost optimization. Support demand planning for customer commitments, migrations, and new regions. Contribute to right-sizing, autoscaling, workload consolidation, capacity incident response, and post-incident improvements while coordinating with engineering and finance stakeholders.

Build, operate, and extend Affirm's data platform and application tooling to enable self-service data applications at scale. Implement platform features (provisioning, CI/CD, access control), integrations, data governance, automation, observability, and on-call operations. Contribute to roadmap for semantic layers, agentic data tooling, and AI-native workflows while raising engineering and operational standards.

Build and maintain scalable integration and end-to-end test automation frameworks and CI pipelines. Optimize test execution, improve stability and reporting, support engineering teams with triage and best practices, write technical specs/ADRs, participate in on-call rotation, and collaborate across regions to evolve the companys test strategy and developer productivity tooling.

Lead the architecture, scaling, reliability, and security of multi-region AWS infrastructure supporting high-throughput payment systems. Build immutable, self-healing environments with Terraform, Kubernetes, GitOps, CI/CD, and automated resiliency. Develop observability using Prometheus, Grafana, and OpenTelemetry; manage incidents and post-mortems; improve engineering velocity through Golden Paths and platform enablement; and mentor engineering teams on reliable infrastructure practices.

Lead a team of software engineers while designing and building scalable software applications for KitchenMate’s food micro-market products and business operations. Responsibilities include delivering high-quality and stable engineering, launching products and features, owning initiatives, mentoring teammates, and applying distributed systems, backend, frontend, database, cloud infrastructure, testing, and continuous integration expertise.

Design, develop, test, deploy, and maintain scalable full-stack banking applications. Build Java Spring Boot and Python APIs, microservices, React interfaces, database integrations, and third-party integrations. Participate in code reviews, testing, debugging, performance optimization, solution design, and technical decision-making. Support CI/CD and DevOps practices while collaborating with product, architecture, business, and cross-functional teams to deliver secure digital transformation solutions.

Develop and optimize machine learning and statistical models for fraud detection and anti-money laundering. Analyze large datasets to identify fraudulent patterns, build scalable data pipelines and features, evaluate model performance, and collaborate with engineering, product, and operations teams. Communicate insights to technical and non-technical stakeholders while maintaining data privacy and security compliance. The role offers significant ownership in building Oscilar’s early machine learning stack within a remote-first startup.

Designs, builds, and deploys production AI solutions for legal and compliance workflows. Partners with legal stakeholders to develop LLM, RAG, agentic AI, document-processing, search, evaluation, governance, security, and compliance applications. Writes tested Python or TypeScript code, manages AI infrastructure and deployment, establishes quality frameworks, and mentors legal users on no-code AI solutions while collaborating with IT and data teams.

Design, build, deploy, operate, and support backend services powering an enterprise AI platform. Responsibilities include developing APIs, orchestration, entitlements, tenancy, metering, integrations, governed data access, and platform services. The role requires ownership of reliable distributed systems, including testing, monitoring, failure handling, and operational support, while collaborating with client product, engineering, data, and platform stakeholders in a consulting environment.

Own and improve corporate security across identity and access management, endpoint protection, SaaS applications, Zero Trust, automation, detection, and incident response. Implement Entra ID controls, SSO, SCIM, MFA, RBAC, JML workflows, Intune policies, EDR, and security baselines. Automate security processes with Python or JavaScript, investigate alerts, remediate incidents, and partner with IT, Security, Engineering, and business teams in a fast-moving startup environment.

Lead frontend design and delivery of AI product experiences using React and TypeScript, mentor engineers, set frontend standards, use AI-assisted tooling, and contribute to backend services in Go and product roadmaps.

Drive functional verification of complex ASIC, SoC, and IP designs from specification through tapeout. Build UVM and constrained-random testbenches, achieve functional and code coverage closure, debug simulation failures, and develop Python-based automation and regression flows. Collaborate with software and technical leadership to communicate verification risks and status. Preferred experience includes formal verification, AI-assisted verification, pre-silicon software testing, post-silicon validation, SoC architecture, and power-aware verification.

Designs, develops, integrates, tests, and maintains production embedded Linux software for vehicle systems. Responsibilities include modern C/C++ and Qt/QML development, Yocto platform maintenance, Python automation, CI/CD, automated testing, debugging across hardware and software boundaries, release management, architecture, documentation, and production support. The role also provides technical leadership and mentorship while collaborating with multidisciplinary engineering, manufacturing, cybersecurity, and supplier teams.

Serve as a high-touch technical consultant: investigate, reproduce and diagnose software issues; identify recurring pain points and automation opportunities; mentor junior staff; maintain the knowledge base; and document user needs clearly to bridge customers and Product/Engineering teams.

Build and maintain production React/Redux front-ends and Java Spring Boot back-ends; use agentic AI tools across the SDLC for specs, coding, testing, reviews, and debugging; create APIs, integrations, automated tests, ensure production readiness, observability, security, and take ownership through release and production verification.

Lead design, architecture, and delivery of enterprise-scale data platforms using Databricks and Spark. Architect Lakehouse solutions, build ETL/ELT pipelines, implement IaC and CI/CD, ensure data governance and security, mentor engineers, and partner with Fortune 500 clients from discovery through production.

Design, standardize, and implement PLC/SCADA and IIoT-based automated test systems for intelligent pumps. Lead smart testing strategy, firmware validation, data acquisition/analytics, dashboards, and global standardization. Integrate test systems with MES/ERP/PLM, support audits, and drive continuous improvement and digital transformation across manufacturing operations.

Design and document solution and information architectures for client engagements, drive technical design reviews, support sales and project estimating, ensure quality implementation, conduct code reviews, and create reusable delivery assets focused on automation and cloud-native solutions.

Build, maintain, and optimize data pipelines and transformations on Snowflake and Azure. Develop DBT models, ingest diverse data sources, monitor pipelines, troubleshoot issues, collaborate on governance, and use GenAI-assisted tools to accelerate development and documentation.

Lead pre-sales technical engagements for an Engineering AI platform: run discovery, craft demos, define technical roadmaps and SOWs, drive adoption and expansion, and liaise between Sales, Forward Deployed Engineering, Product and R&D to translate engineering workflows into AI-enabled solutions.

Lead a globally distributed team of 10 engineers owning runtime foundations (Kubernetes, service mesh, Vault, Kafka). Drive quarterly priorities, coordinate cross-functional work, mentor engineers, manage on-call responsibilities, improve reliability, and communicate risks and trade-offs to stakeholders.