Top Python Jobs in Toronto

Build and own ML infrastructure for distributed training, inference, experiment tracking, model registries, and CI/CD. Enable active-learning and closed-loop optimization, collaborate with computational scientists, and mentor colleagues to translate research prototypes to production-grade systems.

Build and automate technical security, privacy, and compliance controls across cloud, identity, HR, source control, CI/CD, and SaaS systems. Develop continuous monitoring, dashboards, alerts, release gates, evidence collection, control testing, and exception management. Design AI-assisted GRC workflows and support AI assurance initiatives. Collaborate with Security, Engineering, Privacy, Legal, auditors, and customer security teams in a fast-moving 0-to-1 environment.

Design and implement high-performance, scalable message-driven applications for Linux edge systems. Participate in planning and design, write testable reliable code, work with messaging protocols, REST/gRPC APIs, and optimize for performance. Collaborate on system-level features and optionally support industrial protocols, virtualization, and system packaging.

Senior client-facing Sales Engineer for IIoT platform sales in manufacturing. Perform technical discovery, design custom solutions and demos, run pilots, support RFIs/RFPs, liaise with product teams, assist resellers, and attend customer meetings and conferences to translate factory-floor challenges into Litmus platform value.

Work with prospects and customers to design, configure, and implement Litmus Edge and Litmus Edge Manager in proofs-of-concept and production. Lead implementations, provide L3/L4 support, create best-practice content, assist sales with technical proposals, and deliver partner and customer-facing demos and training.

Designs, tests, debugs, and sustains complex multilayer PCB hardware for data center and carrier service provider products. Provides fourth-level engineering support for field and manufacturing issues, resolves quality problems, manages component end-of-life substitutions, supports product lifecycle enhancements and cost reductions, and verifies hardware under thermal and environmental conditions. Uses factory and field metrics to identify and resolve hardware quality issues.

Own and optimize enterprise cloud infrastructure across AWS and Azure, including availability, performance, networking, and security. Lead Terraform infrastructure-as-code practices and complex cross-functional cloud initiatives from planning through delivery. Partner with Security on threat detection, segmentation, incident response, and cloud security improvements. Identify and resolve infrastructure risks, mentor colleagues, and provide technical guidance. Scripting with Python, Bash, or PowerShell supports infrastructure and operational automation.

Serve as the technical bridge between customers and engineering teams during silicon IP evaluation and SoC integration. Responsibilities include verification environment setup, RTL and integration debugging, synthesis, physical implementation, timing closure, signoff, training, pre-sales evaluations, customer reviews, release validation, and creating reusable enablement resources. The role requires broad ASIC/SoC expertise, scripting, IP integration experience, and customer-facing communication, with approximately 20–30% travel.

Lead the delivery of Generative AI products by managing the product lifecycle, facilitating Agile execution, and ensuring alignment with user needs.

Seeking 2-3 RPA Developers for a banking client to design, develop, test, and support automation solutions using UiPath and coding languages.

Lead architecture and implementation of Sentry's Issue Workflow platform, solving performance and scalability challenges, driving technical strategy, building real-time pipelines and search systems, and mentoring engineering teammates to improve product quality and user experience.

Own end-to-end risk strategy projects to detect and prevent fraud: analyze onboarding, account, and transaction data; design, test, and tune fraud rules; backtest impacts; implement tooling and vendor data; collaborate with Risk Ops, Product, Engineering, and Data; and communicate insights to stakeholders to balance fraud prevention with customer experience.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

Design, implement and support scalable, secure SaaS application integrations for Brookfield Wealth and Credit. Provide L3 after-hours support, optimize pipelines, perform RCA and vulnerability remediation, partner with stakeholders, and deliver integration projects to meet SLA and architecture standards.

Manage BIM documentation and workflows across multiple projects; develop and enforce BIM standards and BEPs; provide Revit training and technical support; use Autodesk Construction Cloud for project setup and coordination; ensure model accuracy and collaborate with project teams to meet deliverables.

Design, develop, and maintain Python-based automation and full-stack solutions to improve operational efficiency, automate security and infrastructure workflows, integrate with REST APIs, support CI/CD, and enhance SRE and security controls while collaborating with stakeholders.

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.

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.

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.

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.

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 infrastructure strategy and architecture across AWS, platform engineering, deployment pipelines, and infrastructure as code. Build scalable cloud infrastructure, internal tools, automation, and backend services that improve developer productivity and operational efficiency. Partner with engineering and data teams, establish observability and operational best practices, mentor engineers, and make architectural tradeoffs balancing cost, performance, security, and development speed.

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.

Support finance transformation engagements by assessing finance functions, mapping processes, recommending target operating models, and enabling finance technology. Deliver high-quality, timely project work, leverage visualization and automation tools, monitor project progress, support business development and service development, coach junior staff, and communicate with client stakeholders including C-suite and private equity partners.

The Technical Solutions Engineer owns second-tier technical cases for ad campaigns, troubleshooting integrations, pixels, creatives and platform issues. They analyze database queries, run client troubleshooting calls, automate tasks with scripting, document workarounds, and collaborate with R&D, AdOps, Product and Account teams to resolve escalations and improve products.