Top Python Jobs in Toronto

Design, build, and scale backend microservices for Payments, Disbursements, or GRC squads. Implement secure, high-performance payment and disbursement workflows, KYC/AML and compliance features, and infrastructure using Google Cloud, Kubernetes, and Terraform. Collaborate cross-functionally, mentor junior engineers, and iterate on platform capabilities using analytics and user feedback.

Design and build scalable backend microservices for Payments, Disbursements, or GRC squads; ensure secure, high-performance financial workflows; integrate Google Cloud services; collaborate cross-functionally; mentor junior engineers and iterate using analytics and user feedback.

Build and own fullstack features across UI, backend APIs, and orchestration interfaces for a global GPU inference platform. Implement real-time streaming, analytics, deployment workflows, developer SDKs/CLI, and observability integrations while collaborating with founders and infrastructure teams to turn distributed systems into user-friendly products.

The AI Process Optimization Lead will improve operational efficiency by mapping workflows, implementing AI solutions, and leading change management across teams in the insurance sector.

Design and implement agentic AI systems, ship full-stack features, construct ML pipelines (ingestion, embeddings, RAG, vector search, graph DB), evaluate and improve LLM agent reasoning, prototype LLMs, and build scalable infrastructure for long-running multi-step agents while working directly with customers and leadership.

Own and ship end-to-end, user-facing features across frontend and backend. Design scalable architectures, APIs, async pipelines, and AI inference workflows. Build data models, mentor engineers, and collaborate with founders, design, and product to deliver polished React/Next.js experiences at scale.

Lead end-to-end full-stack engineering initiatives for Project Simulation and Asset Operations. Build scalable frontend and backend systems, ensure code quality, collaborate cross-functionally, debug production issues, and participate in on-call rotation.

The role involves designing, building, and deploying machine learning models, collaborating with teams to address business problems, and mentoring other data scientists.

The role involves designing and deploying strategies for congestion revenue rights, applying quantitative methods, and developing machine learning models.

The role involves architecting AI solutions for compliance, ensuring regulatory adherence, automating processes, and enhancing team capabilities through technology and training.

Design and deploy AI-powered HR solutions, integrating and automating HR workflows. Ensure compliance, governance, and drive adoption of tools among HR team members.

As a Senior Data Engineer, you will build scalable data pipelines, manage cloud infrastructure, and support analytics and data science teams, leveraging various technologies to deliver impactful solutions for clients.

Develop and deploy ML-based perception algorithms for robotics, optimize pipelines, and collaborate across disciplines for integration.

As a Software Developer, you'll design and launch backend features, identify efficiencies, own project implementation, and collaborate with a remote team to enhance local pizzeria operations.

Senior SRE focused on building cloud-native platforms, testable automation, and reliability tooling. Partner with Identity and Security to strengthen authentication/authorization, Okta integrations, and compliance. Design tests, write maintainable code (Go/Python), and improve observability and operational practices.

Design, build, and maintain scalable data pipelines and tenant-aware APIs to ingest and transform data from ad platforms, order systems, and real-time events. Ensure reliability, observability, and maintainability across event-driven and batch architectures, implement authentication flows, optimize data workflows in a cloud-native environment, and collaborate with product, infrastructure, and data teams to onboard new sources.

Partner with portfolio and risk managers to develop quantitative risk models, analyze U.S. power markets, improve backtesting and simulation infrastructure, attribute performance, track P&L and exposures, and deliver actionable insights to scale the trading and risk platform.

Lead complex people-analytics work: design actionable dashboards, apply rigorous research methods, translate analysis for executives, advise HR leaders, build AI-driven workflows, and work hands-on with Visier, Snowflake, SQL, and Python/R.

Maintain availability, monitoring, and incident response for BeyondTrust Cloud Service. Troubleshoot distributed systems, implement fixes and preventive measures, collaborate across teams to meet SLAs, document work, follow risk/compliance, and drive automation and continuous improvement.

Design, build, and maintain cloud infrastructure and automation for a SaaS orchestration platform on AWS. Develop IaC (Terraform preferred), reusable modules, CI/CD/GitHub Actions, observability, resilience, security controls, and platform services. Collaborate with Product, SRE, Security, and Cloud Ops to improve reliability, automation, and operational efficiency.

Lead end-to-end engineering initiatives for customer-facing features in a fast-paced startup. Build and maintain backend and frontend systems, design and evolve GraphQL APIs, debug production issues, participate in on-call rotation, and collaborate cross-functionally with product, policy, and commercial teams to deliver high-quality, scalable software for battery asset operations and project simulation.

Lead people-analytics strategy for Talent Acquisition and Talent Development. Drive end-to-end analysis of complex workforce problems, deliver evidence-based recommendations to senior leaders, ensure data governance and quality, coach junior analysts, build metrics frameworks, and conduct benchmarking and external research to inform workforce strategy.

Build and scale the internal development platform: create tools, services, and automation (CI/CD, canaries, feature flags, access workflows). Work with Pulumi/Python IaC for k8s, enable self-serve developer experience, lead AI tool adoption, participate in on-call, code and design reviews, and deliver major platform initiatives to help engineers ship safely and quickly.

Proactively explore RevenueCat's data to identify product opportunities, translate ambiguous problems into analyses and production-grade predictive/descriptive models, partner with Product and Engineering to ship data-powered features (LTV prediction, experimentation, benchmarking), define statistical approaches, iterate on models in production, and communicate insights to technical and non-technical audiences.

Design, build, ship, and own end-to-end product features across frontend, backend, and data. Translate ambiguous product requirements into reliable, well-tested systems; deploy, monitor, and maintain production services; participate in design and architecture, code reviews, and mentor peers while working closely with product and design teams.