Top Python Jobs in Toronto

The QA Analyst / Automation Tester will create test cases, develop automation scripts, validate data, track defects, and support UAT and releases.

As a Site Reliability Engineer at Air Apps, you'll enhance system reliability through automation, monitoring, and performance optimization, collaborating with development teams to build resilient cloud solutions.

As a Release Engineer, you will manage release pipelines, ensure smooth software deployment, automate processes, and collaborate with engineering teams to enhance release efficiency and reliability.

As a Software Architect at Air Apps, you'll define system architecture for an AI platform, guiding engineering teams in best practices and ensuring high performance and security.

As a Software Architect at Air Apps, you'll define system architecture, guide technical teams, and evaluate new technologies for software solutions.

As a QA Engineer, you will ensure app quality and performance, develop automated tests, and identify bugs while collaborating with cross-functional teams.

Responsible for designing and operating data architecture, building ETL/ELT pipelines, implementing data quality frameworks, and collaborating on ML initiatives.

The Full Stack Engineer will develop both frontend and backend solutions to empower business users in data analysis without technical skills, utilizing various technologies including NextJS and Python.

Seeking a Full-Stack Engineer with 3+ years of experience to develop and enhance data collaboration tools using LLMs, focusing on frontend and backend development.

Design, deploy, secure, and optimize AWS cloud infrastructure. Build CI/CD pipelines and IaC (Terraform), manage security controls, automate operations, monitor production, and support cloud transformation across teams.

Design and implement infrastructure solutions for reliable, scalable data-intensive systems, optimize PostgreSQL databases, and enforce Infrastructure as Code best practices.

Lead design, build, and operation of scalable AI-enabled backend services and data pipelines that extract and resolve information from semi-structured legal documents. Develop LLM-powered workflows, improve citation recognition and resolution, ensure observability and security, collaborate with cross-functional partners, and mentor engineers while owning production lifecycle and reliability.

The Senior Developer, Enterprise AI will lead the design and implementation of AI-enabled workflows, collaborating with cross-functional teams to develop secure and scalable solutions while mentoring junior developers.

Join Clio's Toronto engineering team to build scalable, reliable web applications (primarily Ruby on Rails). Collaborate in agile, cross-functional teams, review code, optimize databases, mentor peers, and help deliver high-quality SaaS products while applying AI to improve engineering and product outcomes.

Lead administration and roadmap for BI tools (Domo, Tableau); build advanced dashboards with custom code; automate ETL with Airflow and Jenkins; use SQL, Python, and Java; apply AI to speed development; train and mentor analysts and ensure high-quality, user-focused data visualizations.

The Deployment Engineer will build and operate AI inference clusters, ensure scalable deployments, optimize allocation, and maintain infrastructure. Responsibilities include software updates, telemetry development, and collaborative improvements with teams.

As a Software Engineer at Zip, you'll design and build core products and features, collaborate with teams, write high-quality code, and develop AI-driven features while tackling complex technical challenges.

The Network Specialist will support and enhance the company's global network by designing, implementing, and optimizing network infrastructure and application delivery solutions across various environments.

The Senior AI Engineer will design and integrate AI features into backend systems, optimize models, and collaborate with teams for deployment and architecture best practices.

As an Applied Researcher, you will develop machine learning and NLP solutions to enhance eBay's query understanding and search products, collaborating with cross-functional teams and applying cutting-edge techniques in e-commerce search.

As a Backend Engineer, you'll build APIs, lead product development processes, and contribute to distributed systems while leveraging AI technology for improvements.

Support production reliability by participating in incident response, building monitoring/observability, automating operations, and improving root-cause analysis. Implement and maintain monitoring, containerized deployments, cloud infrastructure, AI-driven anomaly detection, and automation to reduce toil and improve system resilience.

The Principal Software Engineer will design and build scalable platform services for the authorization platform in a healthcare context, mentor team members, and drive architectural decisions.

Lead and mentor a data science team to enhance the Rider App experience through machine learning, analytics, and experimentation. Partner with stakeholders to drive data-driven decisions and innovation.

Ensure reliability, operability, and controlled enablement of the enterprise AI platform. Administer platform availability, monitoring, incident response, observability, automation, release/change coordination, governance controls, asset visibility, and production readiness. Implement AIOps use cases, maintain telemetry and documentation, and collaborate with engineering, security, and risk teams to meet compliance and operational standards.