Top Python Jobs in Toronto

As a Software Engineer on the Insights team, you'll develop observability products and enhance database performance monitoring for clients using Vitess, MySQL, and PostgreSQL.

The Sustaining Operations Engineer resolves complex Linux-related issues, collaborates with teams, participates in communities, and provides escalation support, driving issues to resolution and maintaining operational success.

As a Software Engineer - L3 Support, you will resolve complex Ubuntu-related issues, collaborate with teams, and participate in upstream communities to drive bug fixes and improvements.

As a Software Engineer, you will resolve complex customer issues related to Ubuntu and open source software, participate in upstream communities, and develop and review code across multiple layers of the software stack.

As a Software Support Engineer, you will troubleshoot and resolve complex issues related to Ubuntu and open source technologies, collaborate with teams, and contribute to community development.

Canonical is seeking exceptional software engineers for the Linux kernel team, involving collaboration on Ubuntu's kernel development across various hardware. Responsibilities include diagnosing kernel issues, improving automation, and participating in global tech events twice a year.

The Senior Backend Engineer will design and maintain backend services for core business functions, ensuring reliability and scalability while collaborating with cross-functional teams.

As an Automation QA Engineer, you'll design and implement test frameworks for Oracle projects, focusing on automation testing for APIs and web interfaces, collaborating with development teams to identify and resolve defects.

The Founding AI Engineer will design and build an AI-native compliance platform, handling complex financial data and developing scalable backend services, while establishing processes for enterprise readiness.

The Hardware Engineer tests and debugs multilayer PCBs, provides engineering support, resolves hardware issues, and supports product lifecycle management.

As a Senior Front End Developer, you will build and maintain responsive UI features using React and TypeScript, collaborating with cross-functional teams to enhance user experience and ensure code quality through best practices.

The ICA Engineering Manager will develop technical expertise in automation and IT/OT integration, support implementation of control and data systems, ensure compliance with safety and quality standards, and contribute to continuous improvement initiatives.

The Lead Product Analyst will design experiments, ensure data quality, build dashboards, and create an experimentation framework focusing on growth and product metrics.

Lead the creation and optimization of machine learning algorithms, develop and refine production-grade models, and drive testing of innovative algorithms using historical data.

Design and build backend services for ClickHouse Cloud, extend platform capabilities, and improve developer experience with Postgres.

The role involves building open source graphics drivers for GPUs, debugging hardware behaviors, and contributing code to Mesa and Linux. Responsibilities include collaboration with engineers, problem-solving technical issues, and translating vendor requirements into upstream solutions all while maintaining code quality.

Build and maintain large-scale infrastructure platforms (Kubernetes, AWS) using AI-native tooling. Design scalable, resilient platform services, resolve complex failures, drive cost efficiency, participate in on-call rotation, mentor engineers, and automate infrastructure via IaC and CI/CD.

Build and maintain backend systems and infrastructure for an AI-focused startup. Implement services in Python/TypeScript, design moderately complex systems, manage SQL/NoSQL databases, deploy on public cloud (AWS/GCP/Azure), use containerization and IaC, build CI/CD pipelines, implement monitoring/logging (Prometheus/Grafana/ELK/DataDog), and ensure strong networking, Linux, and database security.

Lead frontend design and delivery of AI product experiences using React and TypeScript, mentor engineers, set frontend standards, use AI-assisted tooling, and contribute to backend services in Go and product roadmaps.

Lead developer experience strategy and build platform tooling to accelerate engineering productivity. Design and optimize CI/CD pipelines, lifecycle automation, golden paths, and developer tools; reduce fragmentation, improve reliability and observability across multi-cloud environments, and evaluate AI-assisted tooling and coding agents to improve build, test, deployment, and operations workflows.

Lead frontend architecture and product development for member-facing web and mobile apps. Build high-performance, accessible React/React Native UIs, own end-to-end features including APIs and backend services, mentor engineers, drive design system and frontend standards, and collaborate with Product, Design, Clinical, and Data teams to deliver scalable, user-centered health experiences.

Own infrastructure strategy and operational excellence for Remote Build: design IaC with Terraform and Kubernetes, implement observability and incident response, embed security and compliance, optimize performance and costs, automate toil, and improve platform reliability and developer experience.

Build and deploy backend and infrastructure features end-to-end for MCP gateway, enterprise deployments, and agentic systems. Work across TypeScript, Go, Python, and CockroachDB, use AI tools daily, prioritize security and production reliability, and ship rapidly in a small, product-focused team.

Lead technical pre-sales for an infrastructure automation platform: run discovery, design tailored solutions and PoCs, own technical customer relationships, qualify deals, partner with alliances, feed product with field insight, and produce technical content to grow market presence.

Owner of on-prem reliability and escalations: reproduce and resolve L2/L3 issues across heterogeneous Kubernetes environments, build diagnostics and automation, improve CI and e2e test stability, establish performance baselines, harden install/upgrade flows, and write tooling in Python/Go/Rust to reduce repeat incidents.