Top Python Jobs in Toronto

Build Python-based analytical tools, data pipelines, portfolio models, optimization tools, and risk analytics for institutional investment solutions. Support strategic asset allocation, portfolio construction, capital market assumptions, asset-liability analysis, fixed income solutions, and customized client portfolios. Collaborate with investment teams and prepare quantitative materials for governance, client discussions, consultants, searches, and RFPs.

Own and expand UI, API, and hardware-in-the-loop test automation across the product ecosystem. Build scalable CI/CD testing infrastructure with containerized and ephemeral environments, develop test plans, analyze failures, monitor production defects, and improve quality metrics. Lead performance, security, and user experience testing while evaluating AI-assisted QA tools. Provide technical mentorship and collaborate with software, hardware, DevOps, SRE, product, and operations teams.

Leads business insights for global eCommerce by analyzing commercial performance across merchandising, pricing, marketing, CRM, content, supply chain, and customer behavior. Identifies anomalies, root causes, risks, and opportunities through hypothesis-led analysis, then delivers prioritized recommendations and executive-ready data stories. Partners with cross-functional and market teams to support performance reviews, planning, and commercial decision-making.

Lead the architecture and implementation of a Microsoft Fabric data platform, including migration from Azure Synapse, secure networking, near-real-time ingestion, data protection, and Medallion architecture. Design ingestion from Oracle and SQL Server systems, guide capacity and cost strategy, validate GCC High capabilities, mentor data engineers, review technical work, resolve complex challenges, and communicate architecture decisions to client stakeholders.

Leads the design and development of cloud-native platforms supporting generative AI agents. Responsibilities include building backend services, developer enablement tools, CI/CD pipelines, Kubernetes and multi-cloud infrastructure, platform security, observability, DORA metrics, and production engineering practices. The role requires mentoring, architectural leadership, cross-functional collaboration, and expertise in cloud-native systems, networking, infrastructure as code, and systems programming.

Provides expert technical support for Android framework and core OS issues on Zebra mobile computing products. Debugs AOSP source code, NFC stacks, Host Card Emulation, secure elements, and RFID HALs; collaborates with customers and hardware, firmware, software, and product teams. Develops AI-driven diagnostic and workflow automation tools, documents solutions, and mentors support engineers.

Leads property and casualty insurance pricing analyses, rate development, predictive modeling, portfolio evaluation, and regulatory filing support. Develops and enhances GLMs, machine learning models, rating structures, and automated analytical processes using SQL, Python, R, Excel, and Earnix. Provides pricing recommendations, technical guidance, peer review, mentoring, and stakeholder communication while ensuring compliance with actuarial standards and regulatory requirements.

Monitors open, deep, and dark web sources to identify cyber threats, threat actors, credential exposures, data leaks, ransomware, fraud, and AI-enabled attacks. Conducts OSINT and cybercrime investigations, validates intelligence, develops threat actor profiles, maps activity to analytical frameworks, and produces actionable reports and executive briefings. Supports Security Operations and Incident Response during investigations and incidents, maintains intelligence records and monitoring processes, and participates in an after-hours on-call rotation.

Develop and manage accurate 2D and 3D civil BIM models for utilities, drainage, roads, grading, surfaces, and infrastructure projects. Coordinate designs across disciplines, produce plan/profile and construction documentation, customize Civil 3D standards, manage model data and revisions, perform clash detection, support regulatory compliance, and improve BIM workflows through automation and scripting.

Lead revenue analytics by developing business cases, dashboards, KPIs, experiments, and automated analytics solutions. Partner with Client Success, Marketplace, merchants, and cross-functional teams to evaluate performance, guide go-to-market decisions, quantify product value, and identify growth opportunities. The role requires translating structured and unstructured data into actionable insights, standardizing analytical workflows, and communicating recommendations to internal and external stakeholders.

Lead the design and deployment of large-scale bioinformatics and omics pipelines spanning genomics, transcriptomics, and proteomics. Integrate multimodal biological data with machine learning, develop reproducible analysis frameworks, benchmark predictive models, and collaborate with wet-lab scientists to guide molecular engineering and experimental campaigns. Contribute novel computational biology algorithms, research roadmaps, and scientific leadership.

Build and operate scalable backend services for an agentic AI legal platform. Responsibilities include asynchronous message processing, data pipelines, REST APIs, authentication and authorization, PostgreSQL schema optimization, search and vector storage integration, observability, automated testing, CI, technical design, and production on-call support.

Own the analytics roadmap, data platform, semantic models, customer-facing analytics, and AI-native analytics agents. Partner with cross-functional leaders to establish trusted metrics, improve operational and patient-access insights, and deliver data products that drive measurable outcomes. Strengthen dbt and Snowflake foundations, create governed self-service workflows, and provide technical mentorship as the analytics function grows.

Build and ship full-stack conversational AI features, integrating speech recognition, text-to-speech, and large language models into reliable production systems. Improve latency, reliability, cost, developer experience, and platform foundations at enterprise scale. Collaborate with product and machine learning teams, own initiatives end to end, incorporate production feedback, and support customer-facing engineering work.

Develop and maintain manual and automated integration, functional, load, and performance tests for cloud APIs and identity services. Build Python automation frameworks, improve CI/CD infrastructure, review automation code, and partner with globally distributed engineering teams. Ensure Akamai cloud systems meet specifications for resilience, security, scalability, and release readiness. Troubleshoot Kubernetes applications and contribute to deployment planning.

Develop and maintain manual and automated integration, functional, load, and performance tests for cloud APIs and identity management services. Build Python automation frameworks, contribute to CI/CD infrastructure, review automation code, and validate system resilience, security, scalability, and specifications. Collaborate with globally distributed developers, SDET engineers, architects, and program managers while supporting release readiness and deployment decisions.

Designs and implements enterprise cloud and AI solutions for unstructured data workloads. Responsibilities include building ingestion pipelines, API integrations, document extraction and HITL workflows, tuning machine learning models, benchmarking performance, and ensuring security, availability, disaster recovery, and data isolation. The role also supports customer developers, leads technical proofs of concept, mentors engineering teams, develops reusable blueprints, and provides feedback to product engineering.

Own synthesis, timing closure, constraint development, and implementation readiness for ASIC accelerator partitions. Execute Cadence Genus or Synopsys Design Compiler flows, develop SDC and MMMC environments, optimize timing, area, power, and congestion, and collaborate with RTL, verification, DFT, physical design, and backend teams. Improve synthesis methodology, analyze QoR and timing bottlenecks, support vendor partners, and apply AI tools to engineering automation and report analysis.

Leads microarchitecture, RTL implementation, and signoff for complex IP blocks and subsystems in AI inference ASICs and SoCs. Owns PPA optimization, interface and memory integration, lint, CDC/RDC, DFT, synthesis, and timing closure. Collaborates with architecture, verification, physical design, and vendors; develops design methodologies and automation; supports silicon bring-up and customer engagements; and mentors junior engineers while driving technical decisions.

Designs, implements, and manages workforce IAM solutions across enterprise applications and hybrid directories. Leads identity integrations during mergers, acquisitions, and divestitures; consolidates identity providers; automates onboarding and offboarding; and develops API-driven workflows. Enforces SSO, MFA, PAM, RBAC, least-privilege, and conditional-access controls. Supports compliance audits, access reviews, troubleshooting, technical documentation, and cross-functional collaboration across security, IT, HR, and application teams.

Designs, implements, and manages workforce IAM and IGA solutions using SailPoint. Responsibilities include M&A identity migrations, application and HRMS integrations, automated provisioning, access certifications, RBAC, lifecycle management, directory services, platform upgrades, compliance, troubleshooting, and technical documentation. The role collaborates with security, IT, HR, and application teams while supporting enterprise-scale identity integrations and secure access controls.

Own the definition and launch of a greenfield iOS and Android consumer app. Develop product concepts, write specifications, coordinate engineering delivery, define success metrics, and use data, experimentation, and user feedback to guide decisions. Apply computer vision and AI capabilities to create polished, intuitive consumer experiences while collaborating closely with engineering and cross-functional teams.

Conduct manual penetration testing, secure code reviews, and SAST triage across web applications, APIs, and AWS infrastructure. Develop AI-assisted security tooling, define testing approaches for LLM applications and agentic systems, and review AI-generated software before production. Communicate vulnerabilities, risks, and remediation priorities to engineering teams while improving secure SDLC practices.

Build and operate GRC data pipelines, integrations, policy-as-code, continuous control monitoring, evidence automation, and agentic AI workflows. Normalize security data from diverse systems, create auditable evaluation harnesses, govern AI systems, and define technical direction across teams. Partner with security governance, compliance, and engineering groups to transform manual governance processes into scalable products.

Own and improve CI/CD, developer tooling, agent harnesses, Kubernetes infrastructure, observability, cost management, and incident-response practices. Build platform capabilities that reduce engineering toil and improve delivery speed for conversational AI products. Participate in an on-call rotation for core infrastructure and help shape reliable, scalable systems across a fully remote engineering organization.