Top Python Jobs in Toronto

Develop and deploy advanced computational workflows and parametric models for architecture, urban design, planning and engineering projects. Integrate 3D, GIS, BIM, and diverse data sources, collaborate with clients and teams, deliver presentations, and build firm-wide technical expertise and educational materials.

Design, build and maintain full-stack frontend and backend systems for real-time content analytics. Develop Python/Flask/GraphQL APIs and React/D3 web experiences, integrate with GCP/BigQuery, improve performance, observability (OpenTelemetry), CI/CD, automated testing, and mentor engineers while collaborating in Agile product teams.

Lead design and implementation of scalable, high-performance APIs and distributed systems. Define and enforce API standards, documentation, versioning, observability, and governance. Drive architecture, conduct reviews, mentor engineers, and deliver production rollouts while optimizing performance, reliability, and scalability across domains.

Designs, develops, migrates and maintains scalable cloud-native applications on AWS. Builds RESTful APIs and microservices using Python/Node.js, implements serverless architectures, establishes CI/CD pipelines, ensures performance and security, participates in code reviews, and supports cloud strategy and documentation within a regulated enterprise environment.

Designs and builds reporting dashboards, extracts and cleans data, and delivers actionable insights via data visualization. Translates business needs to technical specs, documents data flows, automates analytics, and trains users on self-serve reporting tools to support decision-making across the group.

Apply industrial engineering and operational analytics to assess capacity, demand, staffing, workflow, and utilization across clinical and operational areas. Build decision-support models, dashboards, forecasts, and scenario analyses; partner with clinical and operational leaders to translate findings into actionable recommendations and monitor outcomes for continuous improvement.

Lead development and operations of Geotab's global cloud infrastructure, drive automation and IaC, own monitoring (Prometheus/Grafana/Victoria Metrics), automate certificate lifecycle and GCP cost management, implement AI/ML for predictive monitoring and anomaly detection, handle on-call provisioning requests, and mentor teammates.

Lead frontend platform initiatives to accelerate Ember-to-React migration, strengthen the design system, build AI-assisted tooling, improve frontend harness and pipelines, and drive adoption through documentation, education, and partnership with product teams.

Design, implement, and improve enterprise security controls across endpoint, email, vulnerability management, proxy/SSE/CASB, cloud posture, SIEM/SOC, application security, PKI, and AI/GenAI security. Lead vulnerability risk management, tune detections, drive remediation with stakeholders, and automate security workflows to strengthen the companys security posture.

Join Auth0 Security Engineering to implement programmatic cloud security guardrails across multi-cloud environments. Responsibilities include building cloud security controls (SCPs, Azure Policy), IAM templates and permission boundaries, VPC and edge networking standards, and systems that validate security posture and surface actionable feedback to engineering teams.

Perform secure code reviews and penetration tests across applications and infrastructure, identify vulnerabilities using automated and manual techniques, produce remediation guidance, train and mentor developers, develop tooling and reports, lead release-based testing and mitigation review processes, and participate on-call for change approvals.

Design, engineer, and operate Netskope-based SASE/SWG infrastructure and enterprise traffic steering. Implement IPsec/GRE tunnels, SDWAN integrations, BGP routing, DLP and policy enforcement. Provide platform-level incident response, escalation support, optimization, and technical leadership for secure enterprise connectivity in a regulated financial environment.

Full‑stack software engineer responsible for end-to-end feature delivery across a Python (Flask/FastAPI) backend and TypeScript/React frontend. Champion AI-augmented development, collaborate cross-functionally, improve performance and reliability, resolve defects, and adapt processes while owning projects from discovery through production support.

Lead and scale application security by embedding automated SAST/DAST/SCA testing into CI/CD, administering GHAS, performing pentests and threat modeling, coordinating vulnerability management, securing cloud-native workloads (AWS), and training engineers on secure coding and incident handling to improve overall security posture.

Design, build, deploy, and monitor production-grade AI and ML solutions (including GenAI/LLM applications) for Long-Term Care. Collaborate with cross-functional teams to operationalize models, implement MLOps/LLMOps pipelines, ensure governance/compliance, and improve observability, scalability, and cost efficiency. Mentor junior staff.

Lead design and delivery of LLM-powered agent and retrieval systems: build backend retrieval pipelines, orchestration and evaluation frameworks, optimize ranking and latency, integrate vector DBs and cloud infrastructure, collaborate with product and data teams, and drive production readiness for search and agentic workflows.

Design, develop and maintain security automation using Splunk SOAR (Python) and Ansible (YAML). Triage and remediate automation errors, implement security controls, support enterprise deployments, join 24x7 on-call incident response, create documentation, and transition projects to BAU with stakeholder collaboration.

Perform offensive application security work: pentesting, exploit identification, threat modeling, vulnerability remediation guidance, automate scanning and static analysis, support incident response and forensics, research new attack vectors, and drive security education across engineering teams.

Perform proactive threat hunting and attack-surface reduction using MITRE ATT&CK-aligned TTP analysis, SIEM/EDR/cloud tooling. Develop detections, dashboards, playbooks, and mitigation recommendations while collaborating with SOC, IR, intelligence, and engineering teams.

As Lead Applied Scientist, you will innovate and deliver AI solutions for document understanding, ensuring accountability for research deliverables and optimizing capabilities while guiding technical direction and mentoring team members.

Lead hands-on development of high-scale Java/Spring Boot microservices and REST APIs, mentor engineers, drive architecture and CI/CD cloud deployments, build responsive front-ends, and integrate AI/LLM tools to accelerate development and enhance application capabilities.

Lead product security reviews, perform manual code and penetration testing, threat model and assess AI/LLM-integrated architectures, drive incident response and remediation, build security automation tools, mentor engineers, and publish security research.

Lead and execute red team operations and adversarial simulations across applications, infrastructure, networks, offices, and processes. Perform threat modeling, vulnerability research, exploit development, and tooling automation. Collaborate with detection/response and engineering to evaluate defenses, document findings, recommend remediations, and mentor teammates while contributing to internal and external security knowledge.

Lead and grow a data engineering team to design, build, and operate scalable data platforms (ETL/ELT, warehouses, lakes) powering Customer 360, personalization, analytics, and reporting. Partner with business and product teams, deliver enterprise data products, present to executives, and drive large-scale change while ensuring governance, privacy, and regulatory compliance.

Design and build secure, scalable developer-facing security products and automation. Architect services, APIs, and SPAs; implement CI/CD with security gates; integrate SAST/DAST and cloud security tools; build analytics and AI-assisted vulnerability triage; drive adoption via demos and workshops.