Top Python Jobs in Toronto

Own and evolve AlphaSense's structured financial data taxonomy library. Define naming standards and governance, collaborate cross-functionally to implement scalable taxonomy and data structures, ensure AI/LLM compatibility, document semantics, identify gaps during dataset onboarding, and build repeatable taxonomy frameworks for future growth.

As a Principal Engineer, you will lead AI-driven backend systems for audit products, ensuring scalable, reliable workflows while mentoring teams and influencing technical direction.

Monitor global infrastructure using Datadog and SolarWinds, triage and resolve L1 incidents, escalate complex issues, participate in incident response and post-incident reviews, maintain SOPs and ServiceNow tickets, support automation with basic scripting, and provide weekend on-call coverage.

Lead BI reporting and advanced marketing analyses to optimize campaign performance and ROI. Build and maintain dashboards, consolidate and govern data, model insights, and provide strategic recommendations to cross-functional teams. Mentor junior analysts, drive process improvements, and translate complex data for non-technical stakeholders to inform business and marketing decisions.

Produce timely reports, dashboards, and presentations to surface actionable marketing insights. Conduct secondary research, consolidate data from diverse sources, maintain marketing databases, validate and cleanse data, and collaborate with tech, product, and data engineering teams. Support process improvements, share best practices, and stay current on industry trends to inform strategy and optimize campaign ROI.

Lead architecture and implementation of agentic AI systems powering Zuma's platform. Rebuild onboarding and integration frameworks, implement analytics and observability for LLM performance, translate product needs into technical solutions, mentor engineers, establish engineering standards, and work directly with customers to enable scalable, production-grade AI experiences.

Lead end-to-end development and production deployment of agentic AI systems and full-stack products. Architect integrations with property management systems, improve reliability and observability, define engineering standards, and partner with product and operations to ship scalable AI agents across voice, text, and email.

Serve as technical bridge for customer onboarding and integrations: maintain/debug internal admin tools, configure feature flags, ensure PMS/CRM API integrations, update docs, troubleshoot regressions and basic AI hallucinations, and collaborate with engineering to automate onboarding/support workflows.

As a Staff Software Engineer, you'll build scalable systems for the Tokenization Engine and mentor juniors, collaborating with cross-functional teams to enhance system performance and stability.

The role involves managing the Linux and Middleware systems, performing upgrades, maintenance, security, automation, and supporting business requirements through technology solutions.

The Senior Systems Developer will automate processes, build integrations, manage infrastructure utilizing modern tools, and mentor junior team members while enhancing automation strategy.

The DevOps Engineer will automate product and server deployments in cloud environments, improve system optimization, and lead cloud migration initiatives.

The role involves complex analyses in heat transfer and thermodynamics, preparing test plans, documenting results, and updating engineering practices for aircraft design and icing issues.

The Senior Full Stack Engineer will drive product evolution through full-stack development, focusing on backend APIs with Python and frontend applications using React and TypeScript, while managing the software development lifecycle.

Join Aviya Aerospace Systems as a Software Verification Engineer, focusing on the validation and verification of embedded software for flight control systems following DO-178C standards.

The Infrastructure Engineer will maintain and optimize infrastructure, improve observability stacks, support deployments, and ensure high availability of BitGo's services.

The Data Engineer II will perform data engineering functions such as data modeling, ETL, and data quality management while collaborating with various teams and maintaining compliance with data standards.

The IT Data Specialist provides technical leadership in data analysis including data modeling, ETL, reporting design, and ensures data quality management, collaborating with business and technology partners.

Lead end-to-end analytics for business decisions using data insights and AI/ML. Collaborate with cross-functional teams to build scalable solutions and drive advanced analytics adoption, delivering actionable insights and compelling visualizations.

As a Forward Deployed Engineer, you will build and ship features for an AI workspace platform, develop autonomous agents, and manage end-to-end deployments, collaborating closely with clients in various sectors.

Develop and deploy AI solutions for enterprise clients, focusing on large language models and agentic systems integration while ensuring quality, scalability, and security.

The IT Business Lead Analyst liaises between business users and technology teams, developing strategies and solutions for XVA business needs while managing complex applications and driving compliance with regulatory standards.

The Network Specialist will support and enhance the company's global network by designing, implementing, and optimizing network infrastructure and application delivery solutions across various environments.

Lead and mentor a high-performing Platform/DevOps team, manage application delivery, and improve internal CICD platforms while ensuring reliability and observability of systems.

The Principal QA Developer leads the quality strategy, builds test automation frameworks, and partners with engineering to enhance reporting reliability and system integrity.