Top Python Jobs in Toronto

The DevOps Engineer will onboard applications, set up automated build and testing servers, and maintain non-production environments while promoting DevOps principles.

The role involves onboarding applications, setting up automated build and testing environments, and advocating for DevOps processes. Requires scripting proficiency.

Lead the full development lifecycle, building scalable APIs and systems, mentoring engineers, and delivering impactful AI-driven software solutions.

Lead client engagements and own end-to-end solutions, prototyping while ensuring reliability and scalability. Mentor engineers and help define technical roadmap.

The Technical Architect develops scalable platforms and systems, collaborates with product teams, and leads architecture across data solutions and integrations, ensuring best practices and mentoring developers.

The Senior Pre-Silicon Verification Engineer will develop verification strategies for mixed-signal designs, execute plans, and collaborate with teams to ensure functional compliance before fabrication.

Design and innovate high-performance analog circuits for high-speed SerDes applications, mentor junior engineers, collaborate with cross-functional teams, and perform post-silicon validation.

The Software Engineer at Lyft will innovate user solutions, lead features, and collaborate with cross-functional teams to improve ride and driver experiences using Python, Golang, and AWS.

The Senior DevOps Engineer will enhance ZayZoon's AWS infrastructure, automate provisioning, optimize databases, ensure compliance, and work cross-functionally to improve systems and monitoring.

The Senior Quality Engineer will perform functional and automation testing for Veeva Vault, ensuring product quality through collaboration with teams, documentation creation, and mentoring junior engineers.

The DevOps Engineer will build robust infrastructure, implement DevOps practices, manage CI/CD workflows, and improve product delivery efficiency.

As a Senior Site Reliability Engineer, you'll ensure the reliability and scalability of enterprise applications, manage incidents, and mentor team members while using Java and modern open-source technologies.

The Associate Software Engineer In Test will focus on automating tests and test frameworks for Veeva's Cloud applications, conducting QA tests, and improving test documentation.

The DevOps Engineer at Veeva Systems will build scalable infrastructure, implement DevOps practices, and manage CI/CD workflows while ensuring product quality and reliability.

The Linux Systems Specialist - Sr. will solve technical problems, manage client systems and enhance infrastructure while maintaining strong customer relationships.

Design, build, and operate Autodesk's distributed orchestration and execution platform. Write maintainable backend code, participate in design and code reviews, troubleshoot production using distributed logging/tracing, support internal teams, and join on-call rotations.

The role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.

Develop and tune high-performance ML kernels: implement low-level kernels, create reference implementations and unit tests, analyze scalability and performance, collect metrics, troubleshoot bottlenecks, and package implementations for partner teams.

As an Analytics Engineer, you will design ETL pipelines, build data models, and collaborate with product teams to enhance data accessibility and analytics across the company.

As an ML Engineer, you will develop and deploy machine learning solutions, design robust pipelines, and collaborate with cross-functional teams to improve key performance indicators in the travel industry.

Lead firmware development for UCIe chiplet portfolio, collaborate with teams on validation, optimize design, and mentor engineers.

Lead technical strategy and hands-on development for Faire's data platform and analytics. Design and operate scalable, secure data ingestion, storage, compute, orchestration, and governance. Mentor teams, define architecture and roadmaps, improve performance and cost-efficiency, and ensure monitoring, alerting, and data integrity across analytics workflows.

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.

Research new style Network Filesystem storage, develop metadata management service, perform system testing, and drive root cause identification in storage environment. Participate in team meetings and report progress.

Lead verification of AI/HPC SoCs, develop verification architecture using System Verilog and UVM, and analyze designs for test strategies.