Top Python Jobs in Toronto

Looking for a Data Engineer experienced in Dataiku to design and maintain data pipelines and infrastructure, ensuring data flow and integration across teams.

The Data Engineer will architect and implement advanced analytics capabilities, manage data pipelines, and optimize data processing using AWS cloud and various analytical tools.

As a Senior Platform Engineer, you will enhance the developer experience by building AI platforms, managing infrastructure, and collaborating across teams to improve software delivery.

As a Staff Product Engineer, you will lead high-impact initiatives, shape architecture and product strategy, and mentor engineers while solving complex, ambiguous problems in product development.

The Principal Engineer will design scalable backend services and APIs, optimize performance, and improve developer experience while collaborating with AI/ML experts and legal specialists.

As a Lead Software Engineer, you will design AI-driven backend systems for accounting, integrating LLMs, ensuring performance and security, and collaborating with teams on AI solutions.

As a Staff Software Engineer, you'll design scalable backend services, oversee architecture decisions, optimize performance, and enhance CI/CD processes while collaborating with teams.

Lead the technical delivery and design of scalable kdb+ solutions while mentoring junior developers and collaborating with financial analysts.

Collaborate with business users, develop and maintain code for applications, analyze time-series data, and mentor junior developers.

The Full Stack Software Engineer will develop and deliver ML-powered applications, working with cloud services, APIs, and modern front-end frameworks while actively participating in technical design and collaboration within a project pod.

The role involves building standardized training frameworks, profiling model performance, collaborating with teams, and improving related tooling.

The Applied Data Scientist will analyze performance data of Waabi's autonomy systems, develop automated dashboards, and collaborate across teams to drive insights for performance improvements.

The Risc-V Architect will analyze AI workloads, design custom RISC-V cores, and lead the architecture efforts at Tenstorrent, improving CPU performance.

Manage day-to-day customer relationships across a portfolio, translate client data and business logic into platform rules, implement updates, partner with Product and Engineering on feature priorities, and optimize sales performance management processes.

The Implementation Analyst will manage client relationships, implement product features, optimize sales processes, and leverage analytics to improve performance.

The Staff Application Engineer will develop critical application features, ensure code quality, and work collaboratively to impact sales compensation solutions.

Manage day-to-day customer relationships, implement product features, optimize sales performance management, and ensure customer success with platform usage.

Lead design and production of next-generation search and personalization systems using LLMs, dense vector retrieval, GNNs, multi-stage ranking, and reinforcement learning. Drive GPU-based deployment (e.g., Triton), ensure <100ms latency, mentor applied scientists and MLEs, and partner cross-functionally to productionize scalable, reliable search and recommendation experiences.

Actuary supporting pricing, segmentation, risk management, product development, and portfolio optimization for property and casualty insurance products. Responsibilities include pricing reviews, loss-ratio monitoring, underwriting recommendations, stakeholder collaboration, data modeling, and dashboard development. The role requires actuarial expertise, strong analytical skills, SQL and Excel proficiency, and experience communicating insights to technical and non-technical stakeholders.

Leads strategy, architecture, deployment, operations, automation, observability, and reliability initiatives for globally distributed database systems. Partners across engineering and business teams to improve performance, scalability, security, continuity, and operational rigor. Oversees incident troubleshooting, root-cause analyses, release processes, database change management, technology evaluation, roadmap planning, and mentoring while operating databases across Kubernetes, cloud, and bare-metal environments.

Provide hands-on technical support for payment tokenization integrations by debugging network, API, infrastructure, and downstream gateway issues. Own customer onboarding, escalations, incident and maintenance communications, status page updates, and cross-team coordination. Lead customer integrations from kickoff through go-live, create documentation and training, meet SLAs, and serve as the primary Support decision-maker during PT business hours. Participate in an every-third-weekend on-call rotation.

Owns the cloud architecture vision and roadmap for an AWS-first, multi-cloud SaaS environment. Designs secure, resilient, scalable, and cost-efficient infrastructure; leads cloud modernization; enables AI and data platforms; establishes Terraform, CI/CD, observability, security, governance, and reliability standards; and partners with engineering, security, operations, customers, auditors, and leadership. Coordinates major incident response and drives self-service infrastructure and developer experience improvements.

Build and maintain backend features for Agent Observability across the GitLab monolith and AI gateway. Design and implement GraphQL/REST APIs, improve automated tests (RSpec), collaborate cross-functionally, troubleshoot production issues on Tier 2 on-call, and help shape responsible AI integration and platform architecture.

Designs, builds, and operates CI/CD pipelines and automated platforms across SaaS, cloud, and on-premise environments. Responsibilities include environment provisioning and lifecycle management, monitoring and observability, incident troubleshooting, database and data operations, release engineering, infrastructure automation, and reliability improvements. The role collaborates with development, QA, product, and client teams while promoting DevOps best practices, documentation, standardization, and continuous improvement.

The AWS DevOps Engineer will manage AWS infrastructure, set up Kubernetes, build CI/CD pipelines, and automate deployments while collaborating with the team.