Top Python Jobs in Toronto

As a Developer Experience Engineer, you will improve developer productivity by building tools and systems, advocating best practices, and addressing pain points within engineering teams.

The Senior AI Engineer will design, build, and operate Generative AI systems and backend platforms, owning the full lifecycle of applications and ensuring quality controls while collaborating with stakeholders on the AI roadmap.

Responsible for managing the database infrastructure, monitoring queries, automating deployments, enhancing dashboards, and facilitating database operations as the company expands into new regions.

As a DevOps Engineer, you will optimize CI/CD pipelines, manage cloud infrastructure, implement infrastructure as code, and ensure application reliability through monitoring and compliance with security standards.

Lead and modernize operational data and platform ecosystem, managing systems stability, AI workflows, and team development while collaborating cross-functionally.

The Data Analyst will ensure data accuracy, perform validation and cleansing, prepare datasets for reporting, and support operational processes while collaborating with various teams.

The Pricing Actuary will analyze pricing strategies, execute rate changes, and develop innovative pricing solutions using data analytics and coding skills in a collaborative team.

The Sales Operations Analyst will analyze data, build automations, and create dashboards to help scale the sales team at Clipboard Health.

As a Software Engineer in the Ads team, you will build and enhance ad products, improve system architecture, and collaborate across teams for user experience optimization.

The role involves owning the mobile experience, improving product features for iOS and Android, mentoring peers, and establishing best practices.

The Intermediate AI Developer will create AI agents for automating administrative tasks in workforce management, improve workflows, and mentor junior developers.

The Senior Client Analytics Partner will help B2B clients optimize marketing strategies and measure success through advanced analytics, reporting, and client collaboration.

As a Technical Lead Software Engineer, you'll build full-stack solutions, manage customer integrations, solve complex problems, and lead technical direction.

Lead the technical direction for AI and computer vision, develop and deploy models, improve ML infrastructure, and collaborate with stakeholders.

The Ethical Hacker will conduct penetration testing of different applications, review source code, reverse engineer applications, and develop detailed reports on findings. Candidates should have experience in application security and a strong knowledge of programming languages and tools.

The Senior DevOps Engineer will design and manage AWS infrastructure, deploy applications using Kubernetes, enhance CI/CD pipelines, and advocate automation and collaboration in a fast-paced team environment.

As a Senior Backend Developer, you will collaborate on technical integrations with banks, develop custom solutions, and maintain backend systems while engaging with customers and ensuring successful project outcomes.

Lead quality assurance and automation strategies, mentor engineering teams, develop automated testing frameworks, and drive continuous improvement in testing methodologies.

As a Product Engineer, you will focus on creating user-friendly and polished AI products, ensuring high standards of UX while collaborating with engineers and product teams.

The Senior Software Developer will analyze product requirements, integrate voice recognition technologies, develop unit tests, and improve product performance across platforms.

The role involves analyzing and implementing product requirements, integrating voice recognition technologies, developing unit tests, and writing technical documents for a software development kit.

The Senior VoIP Application Engineer is responsible for designing, implementing, and maintaining VoIP applications, ensuring reliability and scalability while troubleshooting issues and collaborating with cross-functional teams.

Lead and mentor a distributed data engineering team, ensuring reliable customer data integrations and optimizing SQL workflows for analytics and automation.

Manage full-cycle technical recruitment for high-volume roles, collaborating with clients and maintaining data integrity within the ATS.

Lead the design and implementation of AI-driven tax automation workflows, focusing on document intelligence and machine learning optimizations while ensuring compliance and quality.