Top Python Jobs in Toronto

Build, refactor, test, and maintain secure, scalable cloud services and microservices for Guidewire’s insurance platform. Design REST or gRPC APIs, use Java and Spring, work with containers and cloud platforms, and apply CI/CD and DevOps practices. The role also involves responsible use of AI-assisted coding tools, collaboration in agile cross-functional teams, observability, code quality, and continuous improvement.

Owns cross-functional operational initiatives from research through completion, prepares executive and board materials, maintains OKRs and dashboards, improves CRM and account-health data, automates recurring processes, and analyzes business data. The role also coordinates commitments across Client, Product, Sales, Marketing, and Finance teams, conducts market and vendor research, and supports team growth in a startup or scale-up environment.

Support fundamental equity research across financial institutions by building and maintaining financial models, analyzing earnings and management commentary, producing research and investment recommendations, monitoring company developments, meeting with management, and identifying investment opportunities. Drive research efficiency by identifying process improvements and implementing data tools, automation, and AI-enabled workflows in partnership with technology and data teams.

Develop production-grade backend systems and risk algorithms using Python, Generative AI, prompt engineering, and RAG. Deploy scalable services on Kubernetes, optimize token usage, process conversational data, and deliver unit-tested, continuously integrated software. Collaborate with cross-functional teams to design platform features, evaluate emerging AI technologies, document systems, and support reliable production operations. Requires 4+ years of Python backend development experience and a bachelor's degree or equivalent experience.

Actuarial Pricing Manager responsible for developing and maintaining technical pricing strategies for Global Corporate and Specialty property and casualty products. The role applies actuarial analysis, builds pricing tools and infrastructure, supports multinational risk pricing, presents portfolio insights, and guides business stakeholders. It also emphasizes risk mitigation, documentation, technical pricing standards, collaboration with UK pricing teams, and clear communication of complex concepts. The position requires substantial P&C and commercial pricing experience plus ACAS or FCAS designation.

Monitor prediction markets and perpetual futures by tracking news, trader sentiment, venues, volumes, open interest, funding rates, and market share. Research protocols and users, build dashboards and datasets, identify product opportunities for Pyth, size opportunities with market and on-chain data, and collaborate with product, engineering, and business development teams. Write research reports, present recommendations to leadership, and evaluate launched initiatives against their original theses.

Develop and maintain retail pricing strategies, models, rules, and optimization scenarios to improve sales, profitability, competitiveness, and market share. Analyze pricing and promotional trends, identify anomalies, support web-scraped competitive pricing data, and build BI dashboards. Collaborate with merchandising, vendors, data engineering, and data science teams on data pipelines, tool enhancements, governance, and process improvements.

Lead design and delivery of enterprise automation, integrations, and AI-driven workflows. Architect scalable integrations across SaaS platforms, build conversational self-service and agentic experiences, enable AI/LLM-based automation, and partner with security, infrastructure, and product teams to ensure resilient, maintainable enterprise platform solutions.

Lead design, automation, and maintenance of secure, scalable IT infrastructure across SaaS, cloud, and endpoints. Administer core platforms, manage cloud touchpoints, build scripting and IaC automation, run onboarding/offboarding lifecycles, troubleshoot networks, lead IT projects, mentor junior engineers, and partner with Security and business units to align IT with compliance and risk posture.

Design, build, and operate enterprise identity and endpoint security systems. Implement lifecycle automation, SSO/SCIM provisioning, phishing-resistant MFA, conditional access, endpoint hardening and EDR operations. Build automation and AI agents to reduce manual work, run the enterprise security program, monitor metrics, and partner on telemetry and incident response.

Define the architectural vision and roadmap for Okta’s UI platform infrastructure. Build scalable shared libraries, frameworks, reusable components, and design patterns that enable globally accessible, world-ready applications. Lead architecture reviews, cross-functional technical alignment, and implementation of foundational platform components. Mentor senior engineers, establish engineering best practices, and ensure technical quality, maintainability, and adherence to coding standards across distributed feature teams.

Lead architecture and technical direction for Thunderbird’s web Services products, including calendar and secure file storage offerings. Design scalable systems, write code, build prototypes, establish software patterns, and contribute across development, testing, monitoring, and maintenance. Solve ambiguous technical and product problems, develop analytics and infrastructure, mentor engineers, collaborate with distributed cross-functional and open-source teams, and help improve user and subscriber growth.

Design, develop, and deploy scalable LLM applications and pipelines using RAG, agentic workflows, PEFT, guardrails, and cloud platforms. Own architecture, software development lifecycle, code quality, DevOps automation, governance, monitoring, and production reliability. Collaborate with cross-functional and client teams, translate business requirements into technical solutions, conduct code reviews, and provide guidance on software design and best practices.

Leads marketing analytics strategy across North America by building data flows, ETL processes, reporting pipelines, dashboards, and standardized metrics. Evaluates campaigns through advanced analytics and A/B testing, translates business requirements into technical specifications, and delivers strategic insights to executive, marketing, engineering, and finance leaders. The role also manages analytics requests and drives operational efficiency through cross-functional collaboration.

Performs quantitative modeling and analysis for annuity, stable value, insurance guarantee, derivative, and retirement investment products. Builds stochastic and Monte Carlo models, conducts pricing, back-testing, scenario analysis, and asset-liability risk assessments. Develops reproducible Python and SQL analytics pipelines with testing, version control, data lineage, and audit-ready documentation. Partners with Product, Asset Management, Derivatives Risk, and Modeling teams to evaluate product outcomes, risks, sensitivities, and hedging needs.

Build and maintain a scalable authentication platform across the full stack, with emphasis on frontend development. Design React or Angular experiences, backend services, REST APIs, relational database solutions, cloud-native deployments, and CI/CD practices. Own features from architecture through production support, contribute to technical decisions, evaluate technologies, use AI-assisted development tools, and mentor engineers in a new greenfield product environment.

Operationalize cyber threat intelligence by managing feeds, parsing indicators of compromise, analyzing adversary tactics, and integrating intelligence into SIEM, EDR, firewall, and security platforms. Build API integrations, scripts, and playbooks to automate ingestion and dissemination; support threat intelligence infrastructure; collaborate with security operations, detection engineering, and incident response teams; and produce actionable alerts, briefs, and reports.

Support and maintain the SOAR platform by developing, testing, and maintaining playbooks, workflows, and integrations. Identify repetitive security operations tasks and implement automation to improve incident response. Collaborate with security analysts, document workflows and scripts, assist with platform maintenance and migrations, and troubleshoot tool integrations. The role requires foundational security knowledge, scripting ability, analytical problem-solving, and effective communication.

Lead complex software projects from concept through production, simplify architecture and infrastructure, improve performance and reliability, use AI-assisted engineering tools, mentor engineers, conduct code reviews, provide architectural guidance, and collaborate with product and design. The role focuses on re-architecting fragmented KYC products into a unified, scalable compliance platform.

Lead data science initiatives by developing, validating, and deploying scalable machine learning models. Apply statistical techniques, experimentation, and advanced analytics to generate actionable insights and support strategic decisions. Collaborate with engineering, product, analytics, and business teams while exploring AI approaches such as RAG and multimodal LLMs. Use Python, SQL, Databricks, Snowflake, and PySpark for analysis and model development. Promote reproducible, well-documented, production-quality data science practices.

Build Clutch’s Platform Engineering function from the ground up. Define platform strategy, create an internal developer platform, own CI/CD and deployment workflows, and design scalable AWS infrastructure using Terraform and GitHub Actions. Improve developer productivity through self-service tooling, automation, observability, security, and reusable infrastructure standards. Partner with engineering leadership, influence multiple teams, and establish the technical direction for platform engineering while operating with significant autonomy in a startup environment.

Designs, builds, and operates scalable batch and streaming data pipelines and cloud data infrastructure using Databricks and related technologies. The role focuses on data modeling, orchestration, quality checks, lineage, monitoring, access controls, and reusable engineering frameworks. The engineer partners with Data Scientists, ML Engineers, and platform teams, contributes to architectural decisions and technical standards, troubleshoots production issues, reviews code, documents practices, and mentors junior engineers.

Provides technical leadership for a scalable data engineering platform on Databricks. Designs reusable frameworks, production pipelines, engineering standards, monitoring, and operational practices using Python, SQL, and Spark. Partners with Architecture, Data Science, ML Engineering, Product, and technology teams to integrate data capabilities, translate commercial real estate requirements, mentor engineers, conduct code reviews, and influence cross-team technical direction.

Designs, administers, and automates enterprise identity and access management across hybrid and multi-cloud environments. Responsibilities include SSO, MFA, PAM, provisioning and deprovisioning workflows, access governance, identity lifecycle automation, tier 3 support, root-cause analysis, compliance audits, and zero-trust security improvements. The role collaborates with cloud, infrastructure, compliance, and security teams while mentoring junior engineers.

Design, build, and deploy scalable, secure data solutions on-premise and in Azure. Collaborate with engineering, security, and ops to implement modern data practices (Databricks, Snowflake, Python, SQL), produce solution designs, support project delivery, and promote DevSecOps and cloud best practices.