Top Python Jobs in Toronto

Lead and perform vulnerability assessments, internet and wireless penetration tests, social engineering, mobile and embedded testing, and architecture reviews. Produce remediation recommendations, clear reports for senior management, and supervise engagement teams to improve client security posture.

Perform manual penetration tests and security assessments (SAST/DAST) on web applications, networks, and cloud environments; develop remediation recommendations and security guidance; communicate findings to clients and senior management; promote secure development and cloud security best practices; supervise staff and manage engagements.

Lead and perform vulnerability assessments and penetration tests (internet, network, wireless, mobile, embedded, social engineering), identify and document findings, recommend remediations, present results to senior management, and supervise engagement staff while following security testing frameworks and legal/logistical testing processes.

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.

Design, develop, and productionize AI/ML features and infrastructure. Implement and optimize models, build APIs and microservices, monitor and tune performance, mentor engineers, and support full lifecycle deployment and A/B testing.

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.

Design, build, and support cloud environments and CI/CD pipelines; containerize and orchestrate applications; monitor performance; remediate vulnerabilities; integrate APIs; create documentation and test plans.

Lead end-to-end database migrations from Oracle/SQL Server to PostgreSQL for Guidewire Cloud. Design migration and cutover strategies, optimize performance, build automation and tooling (bash/Python), configure replication tools (AWS DMS, GoldenGate, transactional replication), validate and reconcile data, troubleshoot across application and network layers, and drive repeatable, low‑downtime migrations while collaborating with cross-functional teams.

Design, build, and maintain scalable full-stack web applications using Python, .NET and modern frontend frameworks. Develop REST APIs, integrate AI/ML or LLM capabilities, work with relational/NoSQL databases, deploy to cloud environments, optimize performance, and ensure security and quality through testing, code reviews, and collaboration with cross-functional teams.

Work on FPGA firmware for satellites and ground stations: maintain and extend FPGA code (SystemVerilog), design custom IP, add sensor/communication interface support (SPI, I2C, UART), and implement/test SDR and SDN control with high-speed interfaces like JESD204b, 10G Ethernet, and Aurora.

Owner of end-to-end data analysis and delivery for product and client solutions. Design queries, datasets, reports and dashboards, protect recurring data deliverables, partner with Product/Sales/Technology, mentor junior analysts, and apply automation/AI to improve workflows and inform product strategy.

Lead enterprise infrastructure automation and Platform Engineering strategy for self-hosted datacenters. Define IaC roadmaps using Ansible and Terraform, integrate Generative AI tools, establish architectural governance and automated security/compliance guardrails, architect core datacenter technologies and storage, drive observability (Splunk/Grafana) and OS lifecycle management, and provide technical leadership and mentorship to Automation and Systems Engineers.

Lead design and delivery of large-scale backend platform services for AI-driven workflows. Drive architecture, cross-team initiatives, reliability, observability, and operational excellence. Mentor engineers and raise engineering standards to improve developer productivity, performance, resilience, and cost efficiency across the platform.

Design, build, and operate eBay's experimentation and feature-flag platform across the full stack. Implement scalable, low-latency services (NodeJS/Java), develop React frontends, drive architecture and observability, collaborate with data scientists and stakeholders, and own production reliability and incident response.

Build and operate scalable backend services and APIs for an AI-powered developer platform. Own architecture, end-to-end delivery, performance tuning, observability, and mentoring of engineers while collaborating with product and cross-functional teams.

Design, build, and maintain cloud and hybrid data platforms for cybersecurity analytics. Lead platform architecture, implement IaC and automation, scale petabyte systems, run SRE practices, develop deployment/observability tooling, mentor engineers, and own platform reliability and performance.

Senior-level infrastructure analyst responsible for monitoring, troubleshooting, and maintaining core network routing, perimeter firewalls, multi-cloud environments (Azure/AWS/GCP), virtualization and HCI platforms, and enterprise endpoint services using Microsoft 365 and Intune. Acts as Tier 3 escalation for service desk, automates tasks with PowerShell/Bash/Python, and supports cross-team operational priorities.

Design and build an AWS-based lakehouse and scalable enterprise data platform. Create governed data products and automated Python/SQL pipelines. Establish standards for data quality, governance, security, observability, and CI/CD. Partner with engineering, product, finance, and business teams to enable analytics and AI and define the platform's long-term vision.

The Data Analyst will analyze large datasets, collaborate with stakeholders, develop data processes, and support data-driven decision-making to improve business efficiency.

Lead assembly, integration, and validation of photonic quantum source modules; characterize squeezed and non-classical states, measure losses and filter performance; develop control and stabilization strategies for integrated optics; collaborate with PIC, electrical, mechanical, and systems teams; provide measurement-driven feedback to design teams and produce integration documentation and operational procedures.

Lead design, development, and maintenance of scalable full-stack applications using React, TypeScript, and Python. Define architecture, APIs, CI/CD, and distributed systems. Drive adoption of Claude Code and agentic AI workflows, establish prompt-engineering standards, and implement quality gates for AI-generated code.

Lead design and implementation of full‑stack, cloud‑native applications; analyze complex business and system processes; coach mid‑level developers; drive application architecture, coding standards, testing, and deployment; integrate Gen‑AI capabilities and ensure regulatory and policy compliance.

Lead design and architecture of complex embedded firmware from requirements to production. Own technical initiatives, mentor developers, define test frameworks, perform peer reviews, and deliver high-quality, secure firmware for RTOS, Embedded Linux, and baremetal IoT devices.

Productionize, optimize, and scale LLM and ML inference across multi-cloud and Kubernetes. Deploy GPU-based workloads, implement routing/failover for model services, reduce latency via quantization/pruning/distillation, profile and tune hardware utilization, and build observability, monitoring, and cloud-native guardrails for enterprise AI services.

Design, build, and deploy production-grade neural search and retrieval systems (dense, hybrid, semantic, RAG). Develop query understanding, re-ranking, evaluation frameworks, and LLM post-training for retrieval. Partner with engineering for scalable indexing, ranking, and production reliability; contribute to research and IP.