Top Python Jobs in Toronto

Designs and maintains data models, AI solutions, marketing automation architectures, and governance frameworks that support segmentation, targeting, and go-to-market efficiency. Advises marketing teams on data-driven strategies, builds MCP servers and LLM-based solutions, develops innovation roadmaps, and partners cross-functionally on adoption. The role also mentors team members and requires production-quality Python, API development, marketing automation, analytics, and modern cloud deployment experience.

Own and evolve WorkOS’s internal data platform, including ingestion, orchestration, Snowflake, dbt models, data governance, reverse ETL, semantic views, and AI-enabled data workflows. Ensure pipeline reliability, freshness, security, and scalability while partnering with Product, Finance, RevOps, GTM, Engineering, and Security. Build monitoring, runbooks, CI/CD gates, access controls, masking policies, and infrastructure automation across AWS and Kubernetes.

Own the Linux user-mode runtime, driver, and HAL interfaces for a Fabric accelerator. Responsibilities include runtime library design, compiler and kernel-driver integration, memory and resource management, ML framework backends, pre-silicon bring-up using simulation, emulation, QEMU, and FPGAs, and comprehensive runtime testing. Collaborate across compiler, architecture, verification, and kernel teams to support first-silicon deployment.

Leads security engineering strategy and remains hands-on designing, coding, and scaling enterprise security capabilities. Builds automation, platforms, APIs, and reusable frameworks; guides cloud, infrastructure, identity, application, endpoint, and AI security. Establishes architectures, standards, and guardrails, influences executives and engineering teams, evaluates technology risks, mentors senior technical staff, and advances secure adoption of emerging technologies across cloud-native and SaaS environments.

Leads optical design verification testing for coherent linecards and pluggables. Develops test plans, characterizes optical performance, analyzes data, investigates technical issues, and ensures compliance with specifications. Builds Python-based test automation, explores AI integration, collaborates with hardware, firmware, manufacturing, and design teams, and mentors junior engineers throughout the product development lifecycle.

Lead calibration architecture, optical integration, sustaining, troubleshooting, and manufacturing enablement for high-speed coherent optical linecards. Analyze calibration and test data, resolve production and field issues, develop lab-to-factory bring-up workflows, and collaborate with DSP, hardware, firmware, test, and manufacturing teams. Mentor optical engineers, communicate technical risks and trade-offs, and apply coherent optics expertise to current and next-generation platforms.

Structure, price, negotiate, and manage bespoke digital-asset credit facilities, including margin lending, delayed settlement trades, and collateralized loans. Originate funding relationships, optimize collateral utilization, assess market and credit risks, and develop documentation, controls, and operational processes. Partner with sales, legal, risk, compliance, and operations teams to scale the Prime Financing business and drive institutional revenue growth.

Own the technical implementation of gameplay-focused level actors, systems, and Blueprints in Unreal Engine 5 for a multiplayer game. The role bridges Level Design and Engineering, emphasizing network replication, performance, scalability, maintainability, reusable actors, technical standards, documentation, and workflow improvements. The successful candidate will review and improve Blueprints, translate design requirements into technical solutions, identify risks, and guide level designers on implementation decisions.

Design, build, and operate highly available Azure and AKS infrastructure using Terraform. Develop secure CI/CD pipelines, manage Kubernetes clusters, implement monitoring and observability, troubleshoot complex infrastructure issues, and maintain multi-region disaster recovery. The role also involves cloud security, secrets management, networking, database resilience, infrastructure automation, and collaboration with application engineering teams to establish operational standards.

Build and deploy AI-powered solutions for clients by scoping ambiguous problems, designing LLM workflows, integrating data and retrieval systems, and creating scalable production tooling. Collaborate with technical and non-technical stakeholders, iterate based on operator feedback, optimize workflows, and support customer deployments. The role requires strong Python and software or ML engineering skills, production deployment experience, communication abilities, customer on-call availability, travel as needed, and hybrid office attendance.

Lead development of scalable molecular dynamics pipelines, integrating physics-based models with machine learning frameworks to enhance molecular engineering and experimentations.

Automate software testing, deployment, and validation for scalable cloud-native platform services. Responsibilities include developing unit, integration, and end-to-end test frameworks; troubleshooting deployment issues; creating test plans; validating rollback strategies; collaborating on integration testing; and scripting platform-service deployments across diverse environments and architectures.

Develop and maintain automated unit, integration, and end-to-end testing frameworks for cloud-native platform services. Investigate deployment failures, troubleshoot cross-environment and architecture-specific issues, create test plans, validate rollback strategies, collaborate across engineering teams, and automate platform deployments. The role requires strong Python, Pytest, Linux, Bash, virtualization, CI/CD, and modern software development lifecycle expertise.

Own end-to-end software architecture for humanoid robot applications, design modular, production-ready platforms integrating robotics frameworks, AI, cloud/edge, and hardware constraints; lead technical decisions, guide POCs to deployments, and mentor a small engineering team.

Lead and build the company’s information security program while initially owning IT operations. Responsibilities include protecting source code and hardware designs, securing developer infrastructure and software supply chains, managing identity and access, incident response, NIST 800-171 and CMMC compliance, export-control technical safeguards, AI and data governance, device management, networking, and IT scaling. The role is hands-on and partners closely with engineering, legal, compliance, vendors, and leadership.

Build and maintain scalable financial products in a cross-functional agile team. Responsibilities include writing tested code, solving cross-system challenges, owning initiatives from definition through delivery, creating technical plans and documentation, supporting production monitoring, improving performance and observability, collaborating across teams, and mentoring engineers. The role requires backend development with Python and Django, frontend development with React and TypeScript, financial API integrations, data modeling, staged rollouts, and occasional after-hours on-call support.

Build and maintain technical security and compliance controls across SOC 2, ISO 27001, HIPAA, and enterprise frameworks. Automate evidence collection, access reviews, security checks, and compliance workflows; support audits; address security questionnaires; monitor controls for access, infrastructure, data protection, logging, and vulnerabilities; and improve scalable compliance systems.

Develop and maintain secure client/server enterprise applications, appliance operating systems, release pipelines, and cloud infrastructure. Responsibilities include coding, testing, troubleshooting, patching, packaging, signing, and releasing software for on-premises and cloud deployments. The role collaborates with engineering, QA, support, and customers while managing AWS infrastructure, databases, security controls, documentation, and Agile development practices.

Leads and mentors a global Site Reliability Engineering team supporting cloud-based Identity and Access Management services. Responsibilities include managing team performance, shaping product roadmaps, driving technical innovation, operating in an Agile environment, developing best practices, and diagnosing system reliability and performance. The role requires extensive experience with large-scale distributed systems, cloud-native deployments, containers, scripting, and software development lifecycles.

Conduct spatial analysis using GIS software, develop and maintain geospatial databases and maps, manage and validate geospatial data, and deliver GIS projects to clients. Collaborate with cross-functional teams, manage project timelines and resources, communicate with clients, and support forest management initiatives. The role requires proficiency in ArcGIS or QGIS, Python or R, spatial data structures, and geospatial analysis techniques.

Provides global technical leadership for Sophos’s MSSP program and AI security solutions. Leads solution design, architecture workshops, demonstrations, proofs of value, partner enablement, and technical evaluations. Advises MSSP partners on managed security service architecture, integrations, automation, and operational readiness while building AI security labs and attack simulations. Engages customers, partners, and internal teams across regions, mentors technical stakeholders, contributes market insights, and represents Sophos in industry forums. Travel of up to 50% is required.

Graduate software engineers will develop open-source and commercial software across the Linux stack, from firmware, kernels, and drivers to desktop applications, containers, clouds, and Kubernetes. Responsibilities include writing resilient, performant code, contributing to product roadmaps, engaging with users and open-source communities, addressing customer issues, and developing secure software. The role is globally remote with twice-yearly international team sprints and emphasizes mentorship, collaboration, and continuous technical growth.

Operate and evolve an OpenStack-based private cloud and Ceph storage, troubleshoot full-stack issues, handle feature requests and support tickets, build automation and tooling, document runbooks, integrate storage with Kubernetes, and participate in on-call rotations to maintain platform reliability.

Own growth marketing data science for a key domain, developing optimization algorithms, attribution and incrementality models, experimentation strategies, analytics pipelines, dashboards, and strategic insights. Partner with marketing, product, engineering, data engineers, and ad platforms to improve customer acquisition, campaign performance, and marketing ROI. Serve as the end-to-end data domain owner and translate complex analyses into business decisions.

Build and deploy AI agent systems that automate complex business processes. Analyze workflows, design and configure agents, integrate AI with enterprise applications, develop connectors and APIs, and establish evaluation and monitoring systems. The role requires expertise in cloud AI services, LLMs, NLP, Python, integration platforms, conversational AI, RAG, vector databases, APIs, and SQL/NoSQL systems. The engineer will also explore emerging AI technologies and mentor junior developers and system administrators.