Top Python Jobs in Toronto

Design, prototype, and verify fiber-optic systems (OTDR, OSA, OPS); troubleshoot product and process issues; support manufacturing transfers; develop new optical technologies and contribute to IP; provide technical sales support and collaborate cross-functionally.

Lead investment analytics and daily performance reporting for multi-asset portfolios. Perform attribution, scenario and sensitivity analyses, build analytical models and reporting solutions, oversee trade processing and data integrity, and support portfolio managers with risk and performance insights.

Lead a small Quality Engineering team to enable product teams to own quality via agentic tooling, testing practices, CI/CD, metrics, dashboards, and coaching. Build reusable agentic workflows, define quality maturity and KPIs, create training and playbooks, and partner with engineering leadership to scale quality practices and tooling across AutoSync.

Lead development of reliable data pipelines and proprietary analytics for overlay management. Apply quantitative modelling and programming to produce production-ready analytical products, collaborate with investment, data and technology teams, and own the product development lifecycle to support portfolio managers' decision-making.

Lead application infrastructure modernization including cloud migrations, container platform administration (OpenShift/Kubernetes/Docker), CI/CD and IaC automation, and development of AI-driven automation. Provide systems analysis, design, implementation, and user support while advising stakeholders and ensuring security and compliance.

Participate in design, development, testing, and support of application systems and scalable ETL data pipelines. Implement Agentic AI automation, debug and secure applications, collaborate with stakeholders, and coach junior analysts while ensuring compliance and data integrity.

Senior full‑stack developer responsible for designing, developing, and maintaining enterprise‑scale React.js frontends and Java (17+) Spring Boot microservices. Modernize Angular apps to React, build REST APIs and event‑driven pipelines with Kafka, integrate SQL and NoSQL databases, support CI/CD and containerized deployments (Docker, Kubernetes, OpenShift), and monitor production systems using ELK/Grafana.

Build and own the integration layer connecting Perceptyx to third-party HR and downstream systems. Architect, implement, and operate ingestion pipelines, customer-facing APIs, and configuration portals. Ensure data correctness, idempotency, schema resilience, and observability. Drive AI-assisted development adoption, coach engineers, and collaborate with Product and vendors to deliver scalable, reliable integrations.

Develop and prototype agentic AI systems combining LLMs, retrieval, and recommender techniques for commerce. Build RAG pipelines, evaluation frameworks, analyze large-scale datasets, and collaborate with engineering to productionize research for eBay marketplace use.

Lead product analytics for usage, activation, adoption, retention, and expansion. Define metrics, improve instrumentation, build reusable measurement frameworks, apply AI-first analytics workflows, design experiments and observational analyses, create monitoring/alerting, surface insights to influence product decisions, and mentor analysts.

The Senior Software Engineer will develop mission simulation infrastructure, integrating various systems and ensuring safety-critical features for autonomous firefighting operations.

Ownership of platform reliability and incident response across cloud infrastructure. Improve observability, CI/CD pipelines, deployments, developer experience, and operational tooling. Act as primary on-call platform expert, collaborate with product teams, and run postmortems to raise platform reliability.

As a Forward Deployed Engineer, you will deploy and support software in secure client environments, troubleshoot complex issues, and ensure effective integration with existing systems. Responsibilities include installation, configuration, client engagement, and refining delivery practices.

Senior individual contributor who architects, prototypes, and ships production-grade AI solutions for Finance. Focus areas include agentic AI, multi-agent orchestration, ML forecasting and anomaly detection, RAG and vector-store solutions, responsible AI and governance, and embedding AI into FP&A processes. Partners with engineering, IT, security, and finance teams to productionize systems and establish standards, monitoring, and controls.

Hands-on Staff Security Engineer to build and operate DevSecOps capabilities: automate security controls, harden AWS/cloud and CI/CD, improve supply-chain security, build detection/response tooling, partner with engineering for secure design, and lead incident response and compliance automation.

Build and own end-to-end full-stack features across patient, clinician, and operations products using Django/DRF and React/Next.js. Partner with cross-functional teams to design systems, write scalable maintainable code, improve CI/testing, perform code reviews, mentor engineers, and adopt AI coding tools to increase productivity.

Use diverse data sources to evaluate product performance, build automated ETL/data workflows, design dashboards and KPIs, own data product quality, and provide analytical insights to guide product and business decisions while establishing monitoring frameworks and best practices.

Design, build, and maintain scalable data systems and ETLs on GCP; connect production data to business systems; generate analytics and ML-driven insights for GTM teams; work cross-functionally and introduce modern tools (Airflow, DBT, Presto, Hightouch).

Senior pre-sales engineer partnering with sales and channel partners to run technical demos, lead POCs, design solutions, and close large deals. Present to executives and technical audiences, build cloud ML/generative AI solutions, and advise on data architecture and Snowflake positioning.

Own financial performance for a portfolio of clinics: forecasting, monthly reporting, owner payments, gross-margin/COGS optimization, and business partnering. Build AI-powered automations and models, drive actionable improvement plans, reconcile payments, and work closely with practice owners and success managers to deliver measurable P&L outcomes.

Build and maintain Azure data platform components, implement reliable scalable code, automate deployments, run and validate code in non-production, perform and contribute to code reviews, instrument telemetry and monitoring, collaborate on experiments and feature flagging, and apply secure design and best practices.

Lead global paid media strategy and execution across search, social, display, native, affiliate, and ABM channels. Own campaign setup, optimization, A/B testing, reporting (GA4/SQL), and affiliate program growth while collaborating with lifecycle, eCommerce, and enterprise marketing to drive D2C and B2B results.

Lead Chainguard's vulnerability pipeline: measure, disclose, and report thousands of novel vulnerabilities; run CNA/CVE processes; coordinate embargoes; work with industry bodies, customers, and AI model vendors to shape disclosure standards.

Design and build scalable backend services and retrieval systems powering AI-driven search and knowledge retrieval. Improve search quality, data pipelines, performance, and observability while integrating structured and unstructured engineering data and collaborating across AI, product, and engineering teams.

Analyze player and business data to improve engagement, retention, and monetization. Build models, forecasts, dashboards, and A/B tests; synthesize qualitative feedback; partner with cross-functional teams; ensure tracking accuracy; and leverage AI tools to accelerate insights.