Top Python Jobs in Toronto

Own NimbleRx’s end-to-end data platform, including ingestion, transformation, storage, querying, access, batch and streaming pipelines, warehouse modeling, security, compliance, and reliability. Optimize PostgreSQL and Java/Spring services, investigate infrastructure issues, create self-service documentation and tooling, apply AI to data workflows, and mentor engineers and analysts. The role partners broadly across product, engineering, analytics, and operations while driving the platform roadmap.

Designs, develops, tests, and deploys middleware, APIs, connectors, protocol translators, and scripts integrating legacy applications with Okta and SailPoint IdentityIQ. Builds identity provisioning, authentication, authorization, and access-control solutions using SAML, OAuth, OIDC, and SCIM. Analyzes legacy systems, supports application onboarding, performs security testing, maintains technical documentation, and ensures compliance with DoD security, accessibility, and supply-chain requirements.

Lead the technical direction of a cloud-based USDA environmental review platform. Oversee full-stack development, APIs, cloud infrastructure, integrations, security compliance, testing, performance, CI/CD pipelines, documentation, and transition planning. Guide technology decisions and development practices while collaborating with product, facilitation, and design teams. The role requires federal IT project leadership, cloud-native development, agile experience, and the ability to obtain Public Trust.

Develop and deploy UiPath RPA solutions and generative AI applications using AWS Bedrock, LLMs, prompt engineering, fine-tuning, and RAG. Integrate AI with business applications and automation workflows, build secure APIs and cloud-native services, support data governance, and apply DoD responsible AI and RMF controls. The role also includes testing, documentation, architecture participation, production support, and mentoring junior developers.

Develop and optimize data systems, relational databases, data models, warehouses, and ETL/ELT pipelines. Build Python and SQL-based data engineering workflows across AWS and Azure, implement CI/CD, serverless functions, data quality checks, monitoring, and performance tuning. Responsibilities include advanced SQL development, stored procedures, views, database administration, schema design, query optimization, and supporting scalable data processing infrastructure.

Develop and maintain full-stack features for the ERAS Platform, including backend APIs, frontend applications, automated tests, deployment configurations, and integrations with USDA systems. Ensure secure, accessible, well-documented code meeting WCAG, Section 508, OWASP, and testing standards. Participate in code reviews, agile sprints, Salesforce development, technical documentation, and federal modernization initiatives. The role is remote and requires the ability to obtain a Public Trust.

Administer, configure, and support Okta-based ICAM solutions in a federal environment. Responsibilities include user lifecycle management, application integrations, SSO, MFA, directory integration, authentication policy management, incident resolution, monitoring, documentation, change management, audits, and Tier 2/Tier 3 support. The role collaborates with security teams and government stakeholders to maintain secure, compliant identity services aligned with NIST and Zero Trust principles.

Designs, implements, and manages secure AWS and Azure cloud infrastructure. Integrates security into CI/CD pipelines, automates configuration management, monitors vulnerabilities, conducts security audits, supports incident response, and ensures compliance requirements. Collaborates with development and cross-functional teams to deliver secure cloud solutions. Requires extensive DevOps experience, cloud certifications, infrastructure-as-code expertise, scripting skills, containerization knowledge, and the ability to obtain Public Trust clearance.

Analyzes usage data across 15+ web applications, builds data pipelines, develops predictive models, and introduces AI/ML tools to improve analytics. Creates executive dashboards and reports, identifies trends and anomalies, communicates actionable recommendations, and ensures data integrity, security, and compliance. Collaborates with technical teams and business stakeholders while documenting analytical methodologies and presenting findings to leadership.

Design, build, and optimize scalable ETL/ELT data pipelines and analytical datasets using Snowflake and Qlik. Own end-to-end delivery from requirements to support, implement data modeling and performance/cost optimizations, automate ingestion and transformations, monitor and troubleshoot pipelines and reports, and collaborate with claims, analytics, and actuarial teams to translate business needs into robust data solutions while supporting migration and modernization efforts.

Develop and deploy machine learning and statistical models for Commercial Auto Pricing, claims prediction, customer optimization, and automation. Responsibilities include transforming large datasets into insights, partnering with Pricing, managing the full model lifecycle, monitoring model performance, maintaining data science tools, improving reproducibility, and communicating recommendations to technical and non-technical stakeholders.

Provide L2/L3 production support for cryptocurrency trading applications and infrastructure in a 24x7 environment. Responsibilities include user and API support, incident resolution, release and audit activities, monitoring, alert automation, documentation, ITIL process adherence, business continuity exercises, and continuous improvement. The role supports trading systems, risk management, market data, and back-office platforms, requiring shift and weekend availability.

Lead and contribute to embedded software development for communication, networking, and video applications. Develop BSP software, device drivers, kernel configurations, and build systems for embedded Linux, RTOS, and bare-metal platforms. Integrate software with FPGA SoCs and hardware, debug using laboratory tools, define system architecture, and provide technical leadership and mentorship. Collaborate with clients and cross-functional engineering teams to deliver maintainable, high-quality products.

Build and operate platform security services for Auth0 using Python, Node.js, or Golang. Develop security automation, secure Kubernetes and containerized workloads, implement runtime security and network controls, remediate dependency vulnerabilities, and maintain high-quality production code. The role also involves technical design, code reviews, CI/CD architecture, cloud-native security, and collaboration with engineering teams on vulnerability remediation.

As a Manager of Credit Risk Strategy Oversight, you will provide risk analytics and oversight for Canadian Retail lending, assessing proposals, monitoring portfolio performance, and enhancing credit decision-making.

Manage and scale secure logging infrastructure, including OpenSearch clusters, ingestion pipelines, parsing, normalization, access controls, maintenance, and troubleshooting. Automate operational tasks, implement infrastructure as code, support SIEM development, and help design the next-generation logging platform. The role requires AWS, Linux, scripting, infrastructure automation, and security operations experience, with opportunities to work across teams on high-volume, tamper-resistant security data systems.

Lead the design and development of complex backend systems spanning multiple teams and domains. Own architectural direction, data modeling, reliability, observability, scalability, and enterprise workflows. Translate ambiguous business requirements into maintainable designs, mentor senior engineers, influence product direction, and personally deliver high-impact backend initiatives. Work with hierarchical and relationship-heavy data, distributed systems, and technologies including Java, Spring Boot, Django, PostgreSQL, AWS, and Docker.

Lead end-to-end product design for Humanetics digital products using AI-native, agentic workflows. Create interactive prototypes in working code, conduct customer validation, develop accessible interfaces and design systems, and translate validated concepts into production-ready designs. Partner with product managers and engineers, evaluate and implement emerging AI tools, improve design lifecycle efficiency, present work, and mentor designers adopting new workflows.

Lead pricing initiatives and advanced actuarial modeling for an Ontario private passenger insurance portfolio. Develop rate changes, segmentation strategies, and analytical models using SQL, SAS, R, Python, and other modeling software. Partner with business stakeholders, communicate actuarial concepts, lead medium-to-large projects, and coach team members while supporting portfolio profitability and operational efficiency.

Designs, develops, and maintains ETL pipelines that integrate source data into centralized warehouses. Builds semantic models, complex SQL queries, and optimized datasets for accurate reporting and analysis. Collaborates with cloud architects, reporting teams, and stakeholders to translate requirements into technical solutions. Requires expertise in SQL, Python, ETL tools, Databricks, Azure, SQL Server, Microsoft Fabric, and version control, along with at least five years of relevant experience.

Lead architecture and production delivery of embedded firmware and software for Ethernet retimers and high-speed connectivity platforms. Own hardware abstraction, drivers, calibration, link management, diagnostics, telemetry, validation, and customer deployment. Debug PHY, SERDES, FEC/PCS, MAC, and retimer interactions using lab measurements and automation. Provide technical leadership across silicon, analog, systems, validation, and applications teams while mentoring engineers and supporting customer bring-up.

Design, develop and maintain data controls and governance for Financial Crime & Risk Management systems. Lead complex data initiatives, perform data profiling, root cause analysis, troubleshoot data pipelines, automate processes, integrate databases with analytics platforms, and collaborate globally to ensure data integrity for payments and transaction monitoring.

Design, deploy, and manage hybrid on‑premises and multi‑cloud (AWS/Azure) infrastructure. Administer Linux and Windows servers, implement IaC and automation (Ansible, CDK/CDKTF), ensure backup/DR, perform vulnerability remediation, monitoring, and troubleshooting, and coordinate releases and infrastructure improvements.

Develop, test, implement, document, and support data and AI products. Translate business requirements into technical solutions, contribute to designs, build reusable frameworks and automation, perform regression testing, resolve production issues through root-cause analysis, and improve delivery and deployment processes. The role requires experience with data engineering, ETL/ELT, cloud platforms, structured and unstructured data, AI concepts, GenAI, prompt engineering, RAG, Agile delivery, and JIRA.

Lead end-to-end onboarding of infrastructure platforms, applications, databases, service accounts, and privileged accounts into BeyondTrust PAM. Configure vaulting, password rotation, privileged access controls, session management, and approval workflows. Develop automation and integrations using PowerShell, Python, Bash, and REST APIs. Support Windows, Linux, Active Directory, databases, cloud, and hybrid environments while troubleshooting access issues and strengthening security controls in regulated environments.