Top Python Jobs in Toronto

Lead automation strategy and adoption across Windows and Linux environments. Define standards, design scalable automation architectures, build reusable solutions (configuration management, orchestration, deployment, compliance), enable self-service automation, and provide hands-on technical leadership and mentorship to a small automation engineering team.

The Technical Solutions Engineer will design and develop integrations between the iVerify platform and enterprise ecosystems, focusing on APIs and customer success.

Leading multiple test automation teams, defining automation standards, mentoring engineers, and contributing to automation framework design and execution.

Design, build, and operate cloud-native, event-driven microservices using Java and Spring Boot on Azure. Lead architecture for Kafka-based messaging, own event contracts and schema evolution, implement producers/consumers and resiliency patterns, design SQL Server persistence and complex queries, build CI/CD pipelines (GitHub Actions/Azure DevOps) and Terraform IAC, establish testing strategies, and participate in on-call support and root-cause analysis.

As a Senior Infrastructure Developer, you'll design and maintain cloud infrastructure, manage production systems, enhance automation, and streamline deployments while collaborating with cross-functional teams.

Define and specify system-level digital architectures for high-speed mixed-signal photonic communication chips. Collaborate with digital, analog, photonic, firmware, and test teams to enable RTL/DV implementation, validate hardware against simulations, and author architectural specifications from concept to production.

Develop and validate electro-optic electrical-optical-electrical links for Passage™. Model systems with photonics/analog simulators, co-design analog and photonic devices, run RF/mm-wave experiments, validate models, and author architectural specifications.

Lead QA activities across enterprise systems: plan testing strategy, develop and execute test plans/scripts (manual and automated), perform functional/integration/performance/accessibility testing, track defects, integrate automation into CI/CD, validate data and support migrations, and collaborate with cross-functional teams through SDLC and Agile ceremonies.

Design, develop, and maintain automated and manual tests across web, mobile, API, and backend systems. Build automation frameworks, create test plans and cases, execute tests, log defects in Jira, integrate tests into CI/CD, validate production releases, and collaborate with developers and product owners to ensure coverage of critical payment and user flows.

The Data Scientist role involves developing and deploying machine learning models for fraud detection, transforming datasets into insights, and collaborating across teams. Responsibilities include building data pipelines and ensuring model performance.

Lead discovery, prototype, and productize ML/AI and edge computing innovations. Build proofs of concept, collaborate with cross-functional teams, engage customers/partners for co-innovation, influence product roadmaps, and evangelize solutions to drive commercialization and market adoption.

Lead a ~10-engineer team owning the Content Tools platform: design, implement, test, deploy, and operate API-first tooling and governance. Establish contribution standards, CI/CD evaluation pipelines, IR evaluation frameworks, observability, and SLOs. Coordinate cross-team integration with agentic AI workflows and ensure reliability, discoverability, and licensing controls for multi-tenant content access.

Partner with customers to scope and deliver custom data requests, conduct Business Value Analyses, lead API integrations, build internal data tools and automations, produce executive-ready insights, and mentor analysts while collaborating cross-functionally to scale data solutions.

Lead architecture and delivery of large-scale Azure solutions. Design IaC (Terraform) modules and landing zones, CI/CD pipelines, security and governance (PaC, RBAC), observability, cost optimization, and container infrastructure. Mentor engineers, run design/code reviews, collaborate with stakeholders, and drive operational excellence and incident response for enterprise cloud platforms.

Build and maintain cloud-native microservices for Guidewire's P&C insurance platform using Java/Spring and AI-assisted development tools. Collaborate in agile teams, design APIs, ensure code quality with tests and CI/CD, and integrate AI patterns to improve product reliability and scalability.

Build and maintain highly scalable, low-latency microservices in Go to ingest, process, and manage user profile and audience data. Implement event-driven systems with Kafka, work with distributed stores (ScyllaDB, TiDB, Redis), optimize performance and memory, and collaborate with Product, ML, Data, and Infrastructure teams.

Lead platform architecture for data and AI at enterprise scale: define end-to-end data flows, governance, AIOps, reliability standards, and reusable patterns; mentor engineers, run architectural reviews and ADRs, and ensure secure, auditable, cost-effective AI/data solutions.

Lead design, build, and operate scalable Generative AI systems (LLM apps, RAG pipelines, multi-agent systems) in production using Databricks and cloud infrastructure. Own CI/CD, monitoring, evaluation frameworks, optimize retrieval/generation, mentor engineers, and influence product roadmap.

Lead execution of large-scale human data programs for AI model training and evaluation. Manage staffing, incentives, and workflows for hundreds-to-thousands of Fellows, meet delivery, quality, and margin targets, and partner directly with frontier AI labs and senior stakeholders to shape scope, resolve issues, and expand programs.

Build and ship the App Runtime platform enabling rapid web app development and deployment. Work across frontend and backend (React, Go, Python, Java), author technical/design specs, partner with developer customers, improve quality/reliability, mentor engineers, and coordinate with AI, container platform, and security teams.

Lead implementation projects focused on data management and integration for financial institutions. Define solutions using SimCorp One®, liaise with clients, coordinate with project managers, mentor colleagues, improve implementation best practices, and ensure delivery of data integration and performance improvements.

The Quantitative Researcher for Monetization will develop strategies for market opportunities, optimize performance using data, and apply machine learning in financial energy systems.

Lead development, testing, and maintenance of quantitative market risk models (VaR, SVaR, stress testing). Produce methodology documentation, model CIRO 5000 margin impacts, write production-quality code, collaborate across risk and reporting teams, and proactively identify and fix model performance issues.

Design, build, and operate large-scale security data pipelines, lake/lakehouse storage, and analytics to normalize telemetry from a massive GPU fleet. Ensure data platform security (encryption, RBAC/ABAC, audit), enable trustworthy analytics and detection, collaborate across teams to define data contracts, and maintain data quality, provenance, and freshness for security posture and automated response.

As a Software Engineer, AI/ML GenAI, you will design and implement AI features, manage embeddings, and optimize AI systems for production deployment while collaborating with product and design teams.