Top Python Jobs in Toronto

Design and implement reference data quality framework for an investment platform transformation. Build automated checks with Python and SQL, profile data with Informatica, create Power BI dashboards, support root-cause analysis and remediation, document controls and processes, and enable handoff to Data Operations.

Design, develop, and enhance Python-based application systems for global banking operations. Build customer-facing solutions, analyze and debug vulnerabilities, mentor junior analysts, and assess technical risk to ensure secure, compliant, and reliable software delivery in a fast-paced financial services environment.

Build and maintain Ripple's multi-region, multi-provider platform infrastructure and release pipelines. Design scalable, secure platform features (compute, auth, service discovery, observability), automate lifecycle services, develop tooling for CI/CD and IaC, coach engineers, and lead DevOps/GitOps practices to improve reliability, resiliency, and developer experience.

Design, build and maintain reports, dashboards and KPIs from complex hospital data sources. Elicit stakeholder requirements, prepare and profile data, automate reporting, and deliver actionable analytics to support clinical, operational and financial decision-making.

Lead transformation of credit data into analytics-ready datasets, build monitoring frameworks and Power BI executive dashboards, translate SAS logic to Python, and partner with Credit Risk, Product, Fraud, and Collections to deliver decision-ready insights across the customer credit lifecycle.

Lead the design and architecture of a Golang-based Software-in-the-Loop simulation platform validating GO device firmware at scale. Own technical initiatives, CI/CD pipeline management, test frameworks, hardware-in-the-loop integration, and virtual-twin tooling. Mentor developers, perform code reviews, define roadmap items, and collaborate cross-functionally to ensure robust, scalable embedded testing infrastructure.

Design and implement scalable AI agent pipelines and runtimes, build automated code-generation and self-debugging loops, create advanced agent memory systems, develop automated evaluation frameworks for agent accuracy and latency, and translate cutting-edge agent research into production-grade software libraries.

Conduct research on safe, reliable embodied AI for robotic manipulation and autonomous decision-making. Develop and evaluate reinforcement learning, imitation learning, and learning-from-demonstration methods; leverage negative data, human feedback, and corrective demonstrations; design and train Vision-Language-Action and Vision-Language models; implement and test models in simulation and on real robotic platforms; collaborate to translate research into scalable prototypes and publish results.

Design, develop and deliver cloud-native enterprise applications and CI/CD pipelines on Azure. Implement containerization (Docker, Kubernetes/OpenShift), automation (Ansible, Jenkins), infrastructure as code, DevSecOps, API-driven integrations, network automation, monitoring, and reusable automation using Python.

Senior back-end developer responsible for designing, developing and integrating cloud-native, high-availability applications on Azure. Work includes containerization, Kubernetes/AKS, DevOps/DevSecOps automation, data engineering (ETL/ELT, Azure data services), security (IAM, encryption), observability, and RESTful API development using Java/Python/Node.js.

Support and execute BAU data and reporting tasks: develop and maintain reports and documentation, respond to ad-hoc requests, test and reconcile data/metrics, and assist senior peers to design new data/reporting workflows. Gather stakeholder requirements and communicate findings to business audiences to improve operational efficiency.

Design, build, and maintain scalable full-stack applications using React, TypeScript, and NestJS. Drive architecture decisions, CI/CD, and integration of AI coding tools (Claude Code) and agentic workflows. Define prompt engineering standards, quality gates for AI-generated code, and implement distributed, production-grade systems with DevOps and database technologies.

Lead and mentor a team of data analysts to build dashboards, reports, and advanced analytics. Partner with Core Data and cross-functional leaders (Finance, RevOps, CS, GTM) across NA and EMEA to define KPIs, execute an analytics roadmap, ensure data governance and quality, and apply predictive modeling to drive business decisions. Serve as the Director of Data's North America presence and champion scalable BI and data modeling best practices.

The Data Integration Engineer will develop and maintain data connections between client sources and Prophix, focusing on cloud integration and automation, and mentoring team members.

Lead investment data governance by designing and operating data quality controls, reconciling and troubleshooting investment system data, administering reference/security master and pricing data, managing vendors, supporting front-office/trading applications, and participating in system releases and MDM activities to ensure accurate, timely data for investment decision-making.

Design, implement, and maintain marketing-technology integrations and custom applications across CRM, automation, analytics, and CDP platforms. Build scalable APIs, workflows, and reporting solutions, configure Adobe and other martech tools, collaborate with cross-functional teams, ensure code quality, and translate business requirements into technical solutions to improve engagement and measurement.

Perform advanced quantitative modeling and analytics for real-estate secured lending portfolios, design acquisition and account management strategies, manage analytics projects end-to-end, and collaborate with stakeholders to deliver data-driven credit risk recommendations and reporting.

Design, implement, and maintain high-performance SBT Content microservices for P&C insurance. Collaborate in agile teams, apply AI-assisted coding, ensure test coverage, CI/CD, observability, and scalable cloud deployments.

Lead Business Intelligence initiatives by developing standards and enhancing reporting capabilities. Collaborate with stakeholders for metrics and automation while managing team engagement and continuous improvement.

Manage and execute the bank's capital management framework, produce regulatory capital forecasts and analysis, build reports and dashboards, recommend AI/automation solutions, analyze capital impacts of transactions, monitor capital usage and regulatory developments, support strategic initiatives and change management, and liaise with stakeholders to inform decision-making and ensure compliance.

Lead the architecture and development of software platforms for T&D systems, ensuring security, performance, and integration while mentoring a team and collaborating across functions.

Senior back-end developer responsible for building and maintaining cloud-native, high-availability server-side applications. Translate technical specifications into tested code, design and integrate RESTful APIs, implement containerized solutions (Docker/Kubernetes/AKS), support CI/CD and DevSecOps pipelines, integrate OSS, perform unit testing, troubleshoot production incidents, produce documentation and implementation plans, run design and test walkthroughs, and transfer knowledge to operations staff.

Designs, develops, and tunes cloud-native applications and platforms on virtual systems. Builds integrations, RESTful automation, CI/CD pipelines, containerized deployments, observability, and security. Prepares technical/spec documents, test plans, implementation plans, supports production troubleshooting, and transfers skills to operations staff. Works with cloud services (primarily Azure), containers, DevOps/DevSecOps tools, and automation.

Lead design and implementation of scalable data models, ETL/ELT pipelines and migrations to Snowflake/Databricks. Optimize data workflows, ensure data quality and governance, support analytics reporting, and provide technical leadership to junior engineers while collaborating with stakeholders to deliver data-driven solutions.

Design, build, and maintain CI/CD pipelines, developer platform tooling, and IaC for a large Nx monorepo. Improve release safety, observability, and reliability; support Kubernetes deployments, GitOps flows, and platform security; coach teams on DevOps best practices and developer experience.