Top Python Jobs in Toronto

Build and architect the end-to-end go-to-market stack: CRM, outbound sequencing, integrations, lead scoring and routing, attribution instrumentation, dashboards, deliverability infrastructure, and analytics. Partner with sales to remove bottlenecks, implement automations and custom integrations, and evaluate third-party tools versus in-house builds to drive pipeline and revenue.

Full‑stack engineer who designs, implements, and owns features end‑to‑end across frontend, backend, and infrastructure. Build reliable, secure production systems, collaborate with product and support to resolve customer issues, and develop AI‑powered workflows and integrations. Emphasis on shipping quickly while maintaining stability and product judgment.

Design, build, and operate backend and platform services powering AI agent workflows. Own CI/CD, progressive delivery, IaC-managed cloud infrastructure, observability, and incident response. Collaborate cross-functionally, make architecture decisions, mentor engineers, and participate in on-call rotation to ensure scalable, reliable production systems.

Design and implement full-stack customer-facing features using React, TypeScript, and Python. Contribute to AI-powered capabilities (LLM integrations, agentic workflows, MCP/A2A), ensure code quality, collaborate with product and design, own workstreams end-to-end, and mentor through pairing and reviews.

Lead enterprise AI adoption by designing, building, deploying, and governing LLM-powered solutions (agents, copilots, RAG). Partner with IT and business teams for integrations, deliver training, and establish AI governance, monitoring, and risk management.

Design, build, and manage Northland's Azure-based enterprise data platform. Lead data architecture, develop scalable ETL/ELT pipelines, model enterprise data, ensure data quality and governance, deliver self-service data marts and Power BI datasets, and provide technical leadership to support analytics and AI initiatives.

Design, implement, and maintain scalable Python/Django infrastructure and distributed systems on AWS. Own features from conception to deployment, troubleshoot complex issues, optimize database performance, and collaborate with product and engineering teams to deliver production-ready, well-tested solutions for large datasets.

Integrate drones, sensors, payloads and third-party software into a fleet management platform. Write production-quality Java, C++, and Python code, debug across software, networking and hardware, test in simulation, lab and field, and own end-to-end integrations with vendors, pilots, and product teams.

Lead and grow Monex Canada's FX and payments sales function: build and coach a high-performing sales team, own revenue targets, develop go-to-market strategy, win and manage strategic corporate and institutional client relationships, coordinate with compliance and risk for onboarding/KYC, and use data/BI and financial systems to drive forecasting and reporting.

Build and own full-stack healthcare products from problem definition through production validation. Develop Python services and APIs, TypeScript and React interfaces, integrations, data models, and AI-powered workflows. Collaborate with product, AI, operations, and users to shape solutions, establish success metrics, ensure testing and observability, scale architecture, and mentor engineers.

As a Data Analyst at Stripe, you'll build data products, metrics, and dashboards, analyze large datasets, and communicate insights to drive business decisions.

Lead design, delivery, and support of SmartStream TLM reconciliation solutions. Oversee full reconciliation lifecycle, validate TLM configurations, review Oracle PL/SQL and Unix scripts, guide match-rule design, manage a team of analysts/developers, ensure testing, controls, CI/CD and stakeholder collaboration, and resolve complex production issues.

Analyze microbiome and longitudinal clinical datasets, develop microbiome metrics and biomarkers using statistics and machine learning, create visualizations and reports, draft clinical research documents, support product and study development, and contribute to scientific publications and proposals.

Own and improve production infrastructure reliability, deployments, Infrastructure-as-Code, Kubernetes environments, automation, CI/CD, monitoring, alerting, and observability. Investigate incidents, optimize system performance, maintain documentation and runbooks, and support DNS, WAF, CDN, and caching infrastructure. The role requires strong Linux administration, Bash scripting, networking, Git, and containerization skills, with independent ownership and collaboration across development and operations teams.

Build an internal AI developer platform that provisions agent configs, context tooling, eval harnesses, and rollout mechanics to make AI-assisted engineering the default. Integrate LLMs and third-party coding tools, enable self-serve agent creation, embed safety and audit controls, and measure impact on developer productivity.

The DevOps Engineer designs and manages AWS cloud infrastructure, automates operations, develops CI/CD pipelines, and ensures robust monitoring and observability.

As a Senior Full-Stack Engineer at Retell AI, you'll develop scalable systems and intuitive interfaces, bridging backend integrations with frontend experiences, focusing on voice automation solutions.

As a Senior Forward Deployed Engineer, you'll deliver voice AI solutions to enterprise clients, bridging technical and non-technical teams while driving project delivery and adoption.

As a Simulation Researcher/Engineer, you'll design simulation environments, build evaluation harnesses, develop simulation pipelines, and collaborate on generative models.

As a Robotics Engineer, you'll operate and test robot platforms, integrate sensors, manage data pipelines, and debug issues to improve model evaluation.

The Lead Engineer for BI will design data solutions, lead project teams, mentor, and drive BI strategy aligning with business needs.

The Lead Robotics Software Engineer will develop key functionalities of Dapster's robot technology, focusing on motion planning and navigation algorithms.

Lead ownership of Dapster's robotic system, writing code for sensors and interfaces, integrating devices, and contributing to foundational technology.

Lead AI initiatives, establish strategy, and develop generative AI applications. Collaborate with teams to build and optimize financial products.

The Anti-Bot Engineer will research and implement evasion techniques against sophisticated anti-bot systems, debug TLS fingerprinting, and analyze browser behavior to optimize scraping methods.