Top Python Jobs in Toronto

Leads strategic FP&A, corporate financial modeling, budgeting, forecasting, executive and board reporting, and commercial analytics. Builds AI-powered finance automation using Python, SQL, workflow platforms, APIs, and integrated CRM, billing, CPQ, and ERP systems. Partners with RevOps and Sales on deal structuring, pricing, margins, and SaaS metrics. Executes M&A and capital markets activities, manages compensation modeling, and establishes the foundation for a future FP&A and FinOps team.

Leads Marketplace performance intelligence by owning operational analytics, KPI frameworks, performance routines, strategic analyses, and executive narratives. Connects financial, customer, vendor, product, and operating data to identify risks, opportunities, and measurable actions. Oversees the analytics roadmap, governance, automation, self-service capabilities, and data quality while partnering cross-functionally with Finance, Product, BI, Customer Success, and Operations. Manages and develops analytics talent and ensures insights are timely, reproducible, decision-ready, and tied to business impact.

Work with the Digital Experience Platform team to build applications that improve the Autodesk customer journey. Participate in sprint ceremonies, collaborate with engineering teammates, and learn the team's products and customer experiences.

Leads all actuarial functions for the Canadian Property and Casualty insurance business, including pricing, reserving, portfolio management, regulatory reporting, capital support, IFRS 17 oversight, and profitability analysis. Partners with executives and underwriting leaders on strategy and risk management, enhances actuarial data and reporting capabilities, supports enterprise systems, and develops a high-performing actuarial and analytics team. Requires deep Canadian insurance expertise, advanced analytical and programming skills, and executive-level leadership.

Build and maintain production web applications supporting data labeling, data capture, and global operations. Develop React and TypeScript frontends, Node.js or Python backend services, APIs, workflows, permissions, and data integrations. Own features end to end from design through deployment, monitor production systems, troubleshoot issues, and integrate AI capabilities into internal tools. Collaborate with operators, data teams, stakeholders, and senior engineers to deliver maintainable, reliable software.

Develop and implement predictive, machine learning, and Generative AI solutions on Google Cloud Platform. Lead rapid proof-of-concepts involving document data extraction, fine-tuned models, and Retrieval-Augmented Generation. Collaborate with data scientists, ML engineers, and technology teams to integrate AI into business workflows, communicate technical insights to stakeholders, and apply responsible AI practices.

Design, build, and maintain scalable data pipelines, warehouses, and data models using GCP technologies. Develop ETL/ELT processes, dynamic Airflow workflows, and modular Python-based solutions for large-scale data processing. Optimize pipeline performance, query efficiency, and cloud costs while integrating new data sources. Collaborate with data scientists, analysts, and stakeholders to deliver reliable data products supporting business intelligence, machine learning, and strategic decision-making.

Design, integrate, and sign off synthesizable RTL for ultra-low-power SoC blocks, including compute fabric interconnects, memory interfaces, peripherals, low-power logic, and power-management systems. Own front-end quality through lint, CDC/RDC, LEC, synthesis, timing, and power analysis. Support verification, gate-level debugging, physical-design closure, tapeout, and silicon bring-up while collaborating with architecture, DV, physical design, and firmware teams.

Own verification for complex SoC blocks and subsystems from specification review through coverage sign-off. Build and extend UVM/SystemVerilog environments, develop assertions and coverage models, debug simulations, drive coverage closure, report verification risks, and document environments. The role requires extensive ASIC/SoC verification experience, strong scripting skills, independent execution, and collaboration with RTL designers and architects. Preferred experience includes C/C++, formal verification, AI-assisted verification, computer architecture, ML accelerators, and power-aware verification.

Leads the technical and organizational direction of multiple engineering teams building Blue J’s customer-facing SaaS platform. Owns platform architecture, scalability, reliability, developer experience, and technical strategy while partnering with Product, Design, and Research. Coaches engineers and managers, guides complex system design and modernization, improves delivery practices, and connects engineering priorities to customer and business outcomes. The role also contributes hands-on to architecture, designs, and complex technical problems when needed.

Serves as a technical liaison among customer teams, regional technical assistance centers, R&D, and product management. Troubleshoots complex network product installation and performance issues, documents resolutions, supports testing and network architecture initiatives, leads customer upgrades, develops technical communications and workshops, and provides emergency support. The role also contributes product feedback to R&D, supports new releases, and travels up to 10% annually.

Owns cloud infrastructure strategy, AWS multi-account architecture, Terraform IaC, GitLab CI/CD, Kubernetes or ECS platforms, observability, security, compliance, Cloudflare connectivity, FinOps, and governance. Designs resilient multi-region systems, leads incident response and cloud migrations, improves deployment velocity, manages infrastructure automation, and mentors engineering team members.

The Analytics Engineer partners with business stakeholders and data teams to translate reporting needs into scalable analytics solutions. Responsibilities include integrating disparate datasets, developing optimized SQL and reporting tables, building executive dashboards and KPI frameworks, maintaining semantic-layer definitions and governance, and improving analytics architecture. The role also applies software engineering practices, supports code reviews, and documents data models. Candidates should have strong SQL skills, analytics experience, dashboard development expertise, and proficiency in analytical programming languages such as Python or R.

Own Affirm Canada's post-delinquency collections and recoveries strategy, including digital and outbound collections, agency placement, and post-charge-off recovery. Analyze performance, design experiments, quantify initiatives, manage vendor scorecards, and improve recovery outcomes. Partner with Product, Legal, and Compliance to ensure alignment with Canadian consumer protection, collections, and privacy regulations, while collaborating with international teams.

Staff Software Engineer responsible for designing and building Stream’s high-scale platform and infrastructure. The role includes setting SLOs, leading distributed-systems decisions, developing deployment and debugging tools, improving incident response, optimizing infrastructure costs, and guiding technical direction through design reviews and RFCs. The engineer will work with Go, Python, cloud platforms, Kubernetes, databases, observability systems, and real-time workloads in a small, autonomous team.

Own technical relationships with strategic technology partners and architect integrated cloud, data, and AI solutions. Build production-grade integrations and reference implementations, define secure and observable enterprise patterns, enable partner engineering teams, and lead joint customer deployments and troubleshooting. Translate partner feedback into product roadmap requirements while applying expertise in Kubernetes, Terraform, Python, AI inference, agentic systems, and cloud infrastructure.

Design and implement cloud infrastructure and MLOps solutions for AI and ML customers. Serve as a trusted technical advisor through proofs of concept, workshops, presentations, and training. Develop infrastructure-as-code architectures, optimize GPU pipelines for performance and scalability, document technical solutions, and coordinate customer scenarios with product, support, and marketing teams.

Build full-stack marketplace features for search, ranking, and renter-facing products while supporting ML Ops infrastructure. Develop model deployment pipelines, feature stores, real-time data pipelines, monitoring, and production integrations with data scientists. Write tested code, review contributions, plan technical work, and improve system performance, reliability, and scalability. Collaborate with product and globally distributed engineering teams.

Build full-stack marketplace features and ML Ops infrastructure for search, ranking, and renter-facing products. Develop model deployment pipelines, feature stores, real-time data pipelines, and monitoring using Chalk and Vertex AI. Collaborate with data scientists to productionize models, improve system performance and reliability, write tested code, participate in reviews, plan technical work, and communicate effectively across distributed teams.

Build and maintain FinOps data pipelines, BigQuery and dbt models, cost attribution systems, forecasting and anomaly detection models, and cost-versus-revenue analytics. Identify and implement AWS and GCP savings opportunities, automate governance with Python, Terraform, and Lambda, and partner with Engineering, Finance, Product, and leadership on cloud costs, forecasting, reporting, and architecture decisions.

Leads concurrent ransomware and business email compromise incident response engagements, directing forensic investigations, prioritizing containment and remediation, managing analysts, communicating findings to customers, and producing executive reports mapped to MITRE ATT&CK. The role also performs root cause analysis, identifies data exfiltration, provides threat intelligence updates, supports service development, and coordinates handovers across global teams.

Software Test Analyst responsible for planning and executing manual and automated testing across enterprise systems. Duties include functional, integration, regression, performance, accessibility, security, data validation, and user acceptance testing; defect tracking; automation development; CI/CD integration; test documentation; and collaboration with technical and business stakeholders in Agile environments.

Lead technical discovery, customized demonstrations, and proofs of value for enterprise CTEM customers. Map vulnerability, asset, ticketing, and remediation workflows; integrate customer tools; prove exposure-management outcomes using customer data; and communicate findings to engineers, CISOs, and executives. Maintain presales deal information, provide product feedback, create reusable demo and POV assets, and expand expertise into third-party risk management and cyber risk quantification.

Support Web3 users and technical operations across Telegram, Discord, blockchain infrastructure, RPC services, and AI-powered support workflows. Triage node and synchronization issues, develop and troubleshoot Telegram Bots and Mini Apps, maintain knowledge-base content, coordinate urgent issue resolution, and document solutions. The role requires blockchain fundamentals, programming ability, technical troubleshooting, responsive communication, and five-day weekly availability.

Own LanceDB’s marketing operations systems, data, lead management, routing, scoring, attribution, campaign execution, event operations, and pipeline reporting. Build an open-source qualified lead program using product and community signals, maintain data hygiene and governance, support ABM infrastructure, and improve marketing workflows with AI and automation. This senior, hands-on role partners with Sales, RevOps, Product, Engineering, and company leadership to establish scalable marketing processes from the ground up.