Top Python Jobs in Toronto

Design, build, and operate large-scale distributed scanning services in Python and Go. Own systems design, implementation, deployment, scalability, reliability, observability, and production support for internet-wide and customer-specific security scans. Collaborate with security, product, data, and infrastructure teams to deliver scanning and threat-intelligence capabilities, improve architecture and performance, and mentor engineers.

Drive enterprise implementations by scoping technical solutions, architecting API-based integrations, managing stakeholder alignment (including C-suite), executing end-to-end testing and enablement, providing VOC to Product, troubleshooting integrations, and mentoring junior team members to ensure successful SaaS adoption and operational efficiency.

Build experimental applications and interactive tools for configuring experiments, monitoring execution, visualizing results, and capturing metadata. Integrate instrument APIs with SDKs, data services, backend systems, and automation workflows. Implement testing, logging, failure recovery, CI, packaging, and deployment improvements. Diagnose issues across application, performance, concurrency, native-code, and hardware layers while collaborating directly with scientists and engineers to deliver reliable software.

Design, build, deploy, and maintain critical software supporting scientific experiments, instruments, data systems, and infrastructure. Translate ambiguous research needs into reliable software milestones, develop integrations and high-volume data workflows, solve concurrency and performance issues, and improve testing, observability, and release practices. The role also includes architecture decisions, code review, mentoring, technical leadership, and collaboration with scientists and engineers.

Own and scale a multi-cloud data platform across AWS and Azure. Manage Apache Airflow, Kubernetes, Terraform, Helm, ArgoCD, CI/CD, observability, big data infrastructure, governance tooling, and FinOps initiatives. Provide end-to-end architectural and operational ownership, improve developer tooling, define platform roadmaps, manage incidents, enforce engineering standards, and mentor data platform engineers.

Staff Backend Engineer responsible for setting the architecture and technical direction of Quo’s public API platform. The role involves building API enablement systems, designing SDK and webhook infrastructure, supporting integrations, driving cross-team adoption, mentoring senior engineers, and maintaining performance, reliability, and observability across a high-scale distributed platform.

Design and implement advanced Generative AI models, optimize performance for LLMs, and collaborate with cross-functional teams to innovate AI solutions within the automotive sector.

Own the architecture and evolution of a mature server-rendered web UI for the Graykey platform. Establish frontend conventions, improve performance, implement testing, analytics instrumentation, real-time UI patterns, and web security practices. Collaborate with UX, product, and engineering teams while working regularly with Python and Jinja templates. Build reliable interfaces for constrained, on-premises environments and provide technical direction through code reviews and pairing.

Provide technical support for Firecrawl customers by diagnosing API, scraping, authentication, rate-limit, and integration issues. Reproduce and escalate bugs, advise customers on reliable workflows, prioritize support queues, and advocate for product improvements. Build lightweight debugging tools, dashboards, automations, and AI support agents to reduce recurring manual work. Create documentation, troubleshooting guides, and runbooks while coordinating support handoffs and sharing insights with Engineering, Product, and Growth.

Designs, operates, and scales Mecka AI’s AWS infrastructure for global data ingestion and customer delivery. Responsibilities include AWS networking, petabyte-scale S3 storage, IAM, infrastructure as code with Terraform, CI/CD, monitoring, incident response, cost optimization, reliability improvements, and mentoring. The role also supports high-throughput data transfer, hybrid connectivity, and infrastructure security for robotics and embodied AI workloads.

Develop and deploy production-grade AI, machine learning, and generative AI solutions for insurance business challenges. Responsibilities include building LLM applications, prompt engineering, RAG workflows, data pipelines, experiments, proof-of-concepts, and scalable AI systems. The role involves monitoring model performance, generating business insights, collaborating with stakeholders, and communicating technical findings to diverse audiences.

Build and operate payments and revenue infrastructure, including global payouts, payment-provider integrations, reconciliation, invoicing, billing, revenue recognition, and finance tooling. Develop reliable backend and distributed systems with strong transaction integrity, idempotency, observability, auditability, and failure recovery. Partner with finance and operations to automate manual workflows and support financial data movement across currencies, entities, providers, and banking rails.

Supports finance technology applications across ERP, HCM, procurement, supply chain, and FP&A. Builds automation workflows using Workato and Python, writes SQL queries, validates data, prototypes AI solutions, configures Jira automation, develops reports, tests integrations, gathers requirements, and provides user support. The intern collaborates with finance, HR, IT, and engineering stakeholders while learning agile methods, systems integration, and finance transformation.

Design and build scalable data-platform infrastructure, including APIs, microservices, streaming and ingestion systems, control planes, workflow orchestration, and developer-facing capabilities. Develop highly available distributed systems, improve observability and performance, automate operations, and support cloud-native deployments. Collaborate with product, architecture, data engineering, and machine learning teams while contributing to technical strategy, mentoring engineers, and participating in on-call operations.

Develop, maintain, execute, and improve market risk and stress-testing models for financial and regulatory programs. The role involves projecting market risk variables, researching quantitative methodologies, analyzing derivative valuation and pricing models, documenting model approaches, testing implementations, resolving modeling issues, and collaborating with model validation, risk control, technology, economics, and stress-testing teams.

Designs, develops, maintains, and administers enterprise GIS applications, services, geospatial datasets, and servers. Builds web-based visualization systems, workflow tools, automated processes, and Esri integrations while supporting testing, security, documentation, quality assurance, and project delivery. Requires strong ArcGIS, geospatial data management, database, cloud, web development, and programming expertise.

Owns end-to-end product features for a healthcare platform, including Python APIs, React front ends, database design, EHR integrations, AI-driven workflows, and GCP cloud deployment. Ensures security, privacy, testing, and scalability while contributing to architecture, troubleshooting customer implementations, code reviews, and mentoring engineers. The role requires strong full-stack engineering expertise, healthcare integration knowledge, cloud-native development experience, and Spanish proficiency.

Own MediCore’s end-to-end data architecture, including operational databases, analytics platforms, streaming pipelines, governance, security, and AI/ML data foundations. Design healthcare data integrations using HL7, FHIR, EHR, and third-party APIs; establish multi-tenant data isolation and residency strategies; ensure HIPAA, PHIPA, and SOC 2 compliance; guide reporting, migrations, engineering standards, and technical teams across multiple countries.

Build, maintain, and improve highly automated build, release, testing, and continuous delivery infrastructure. Develop internal tools and automation, collaborate with Development, QA, and Operations, and implement AWS-based technologies to scale infrastructure and accelerate testing. Partner with internal customers to roll out projects, monitor adoption, gather feedback, and refine processes. The role requires software development experience, cloud and containerization knowledge, and cross-functional collaboration.

Analyzes investment operations processes, identifies automation opportunities, translates business needs into requirements and future-state designs, and develops or supports solutions using Microsoft Power Platform, Fabric, Power BI, Python, and related tools. The role manages testing, documentation, implementation, production support, controls, governance, stakeholder collaboration, and user education while improving efficiency and reducing operational risk.

Designs, builds, and optimizes scalable data solutions for omnichannel marketing, analytics, and AI products. Responsibilities include developing Python and SQL ETL pipelines, enterprise data warehouses, BI dashboards, system integrations, data models, and AI-enabled solutions. The role gathers requirements from clients and stakeholders, supports Snowflake-based platforms, improves data quality and performance, and establishes reusable engineering practices, documentation, and Git-based workflows.

Leads enterprise QA automation across multiple projects, establishing testing governance, designing Selenium and Robot Framework automation frameworks, and improving test coverage and release readiness. The role combines hands-on automated and manual testing, regression and integration testing, defect management, test strategy development, quality reporting, and team guidance. It partners with development, product, architecture, and business teams to identify risks, improve testing processes, and build sustainable in-house QA capability.

Develops and optimizes credit acquisition strategies, underwriting criteria, credit line assignment rules, and automated decisioning processes. Uses SQL, Python or R, advanced analytics, and machine learning to monitor portfolio performance, delinquency, defaults, and credit exposure. Collaborates with Credit Operations, Product, Engineering, Finance, and Growth teams to implement risk controls, manage exceptions, ensure regulatory compliance, and translate analytical insights into actionable credit policies.

Allocate merchandise to retail stores and counters to maintain optimal inventory levels, support sales, and reduce overstock and stock-outs. Generate allocation and inventory reports, analyze large datasets, identify trends, and collaborate with merchandising, planning, and retail operations teams. The role also requires accurate ERP and inventory data maintenance, strong communication, and flexibility in a team-oriented retail environment.

Lead functional and automated testing for ETL and Data Cloud projects. Develop complex SQL queries, validate data warehouses, and apply QA fundamentals using Azure, Python, and Pandas. Work within Agile teams, take ownership of deliverables, and guide team members toward successful testing outcomes.