Top Python Jobs in Toronto

Lead security and compliance architecture for CoCounsel, implementing SOC 2, ISO, HIPAA, and FedRAMP controls; build compliance-as-code, data protection (encryption, key management, tenant isolation), IAM, observability, and audit tooling; partner with security, legal, and engineering; mentor teams and ensure production-scale, provable compliance and incident readiness.

Owner of forecasting and capacity models for global customer support; translate complex data into actionable staffing plans, maintain dashboards and reports, leverage AI tools to accelerate analysis, and partner with operations leadership to align resourcing and improve planning processes.

Lead technical direction for backend, AI orchestration, and identity systems for CoCounsel. Design authentication/authorization, multi-tenant isolation, large-scale AI workflows, observability, SLOs, and reliability. Partner with product, security, and ML teams; mentor engineers and own end-to-end delivery of production-grade legal AI systems.

Lead technical design and delivery of scalable, secure microservices. Drive engineering standards, code reviews, architecture decisions, cross-functional collaboration, and introduce tools/process improvements.

Join as an SDET to design and manage automated test suites, create and maintain test cases and plans, write unit and API tests, track and verify defects, debug complex systems, and integrate testing into CI/CD pipelines while collaborating with engineering and DevOps.

Administer global macOS and Windows device fleets, manage security and compliance policies, respond to endpoint incidents, automate integrations with directory and third-party tools, manage asset and metrics, and contribute to Agile team projects while leading EPM initiatives and mentoring teammates.

Lead design, build, and operation of cloud infrastructure, CI/CD pipelines, and platform tooling. Implement IaC (Terraform), automate deployments, troubleshoot live systems, maintain monitoring/logging, mentor engineers, set DevOps technical direction, and evaluate new tools.

Lead and grow a team of DBAs and data engineers to ensure reliable, scalable, and secure data infrastructure. Oversee heterogeneous databases, define cloud and containerization strategies, drive IaC and automation, support data pipelines and ETL/ELT, and implement high availability and disaster recovery practices.

Provide second-line oversight for Canadian retail lending credit strategy: review credit proposals and ML-enabled decisioning, perform stress-testing and portfolio analytics, produce decision-ready insights and visualizations, support credit governance and regulatory compliance, and collaborate cross-functionally to improve controls and reporting.

Partner with business leaders to scale operations and deliver high-impact cross-functional projects. Improve core processes, evolve user journeys, build actionable data reporting, prioritize growth roadmaps, implement and optimize enterprise software, and lead change management while coordinating stakeholders across the company.

Design and deliver scalable backend services for Veeva Ostro's SaaS platform. Architect high-performance APIs, optimize application and database performance, collaborate cross-functionally to ship features, champion code quality and testing, evaluate backend technologies, and troubleshoot live system issues to maximize uptime.

Support and maintain AMS simulation environments for FinFET and BiCMOS high-speed designs. Work with analog designers, EDA vendors, TCAD/foundry teams to debug models, define QA flows, benchmark tools, create automation scripts, and develop custom circuit checks to improve simulation and verification efficiency.

The Senior Data Engineer will scale the data ecosystem, construct data models, build systems for KPI tracking, and ensure data safety.

Lead design and delivery of backend risk systems to detect and prevent fraud, manage credit and market risk, and protect users. Drive architecture for distributed, high-availability services, partner with Data Science/ML and product teams, build AI-native detection and response systems, mentor engineers, own operational excellence, and lead incident response and post-mortems.

Lead the Developer Environments team, enhancing software development productivity. Drive strategy, manage systems, and improve developer workflows and tooling.

Build and operate ingestion and reconciliation pipelines that match card-network and partner reports against internal transactions. Develop reporting products, produce standardized journals for accounting, support tax and regulatory filing systems, handle sensitive PII for compliance, debug production issues, and collaborate with finance, product, and data teams to automate and scale reconciliation and reporting.

Lead reporting, automated dashboards and data pipelines to measure Resilience Management performance. Perform deep-dive analyses on availability, DR, BCM and operational resilience, produce executive summaries and actionable insights, and manage stakeholder reporting using SQL, Python, Azure/Databricks and BI tools (Tableau/Power BI).

Lead end-to-end technical client engagements: discovery, architecture, prototyping, and delivery of AI-enabled solutions. Design system architectures and integrations, analyze client data sources, build proofs-of-concept, guide engineering teams, run workshops, and mentor junior developers and Fellows to deliver production-ready outputs.

Develop and verify firmware algorithms for DDR5/LPDDR5 memory calibration on FPGA IP cores. Design architecture per protocol specs, implement firmware, integrate with CAD tools, perform verification, hardware bring-up, product release support, and provide customer technical support.

Lead business systems analysis for Global Asset Management technology: gather complex requirements, design data and BI solutions, mentor teams, and support end-to-end implementation using Azure, Databricks, SQL and BI tools.

Design and implement robust bimanual manipulation algorithms and train learning-based robot policies (diffusion, imitation, RL). Build end-to-end autonomy connecting perception, semantic task understanding, and low-level control. Ship production-quality Python and C++ code, profile and scale the autonomy stack, and work with high-fidelity simulators for sim-to-real transfer.

Architect and implement robust bimanual manipulation algorithms and learning-based robot policies (diffusion, imitation, RL). Build end-to-end autonomy connecting perception to low-level control, write and maintain production Python/C++ code, and scale performance across a fleet in industrial environments.

Design and implement robust bimanual manipulation algorithms and learning-based robot policies. Build end-to-end autonomy connecting perception, task understanding, and low-level control. Ship production-grade Python and C++ code, optimize system performance, and scale deployments across an industrial robot fleet.

Build end-to-end AI product features across frontend and backend: design LLM agent systems, streaming APIs (SSE), asynchronous AWS pipelines, document processing, and responsive React UIs. Collaborate with product, design, and core platform teams to iterate and ship production-ready, low-latency AI experiences.

Design, implement, and scale customer workflows on Feathery across pre-sales and post-sales. Own technical scoping, proofs-of-concept, onboarding, demos, deployments, and enablement. Provide product feedback, create technical content, and help build the solutions engineering function.