Top Python Jobs in Toronto

As an Amazon Connect SME, you will design and deploy AWS-based contact center solutions, utilizing Amazon Connect and integrating various AWS services, while also working with cloud infrastructure and CI/CD practices.

As a Staff Machine Learning Engineer, you will optimize Quora's ad products by applying machine learning algorithms, taking ownership of systems, and collaborating across teams.

The role involves enhancing performance benchmarking processes for Elasticsearch, developing automated tools, and resolving performance issues. It requires expertise in Python and system performance measurement.

As a DevOps Intern, you'll support the team in maintaining infrastructure, debugging issues, automating processes, and collaborating on projects involving AWS and Terraform.

The Staff DFT Engineer will define and implement DFT strategies and methodologies, work with cross-functional teams, and support device bring-up for high-volume manufacturing.

Analyze and optimize pricing, billing, and deployment metrics. Collaborate across teams to ensure data-driven decisions and improve enterprise readiness and cost efficiency.

You will build frameworks for LLM-powered agents, design reinforcement learning approaches, lead development of scalable evaluation systems, and mentor other engineers while writing robust code for enterprise-grade assistants.

Leading multiple test automation teams, defining automation standards, mentoring engineers, and contributing to automation framework design and execution.

The Robotics Software QA/Test Engineer will ensure software quality through testing practices, monitor test robots, triage issues, and improve testing tools.

As a Bazel Engineer, you will improve build infrastructure, optimize codebases, and shape build strategies in remote teamwork.

Design and deploy ML solutions for video analytics. Build MLOps pipelines, collaborate on product features, and troubleshoot AI/ML issues.

As a Data Scientist/Senior Data Scientist, you will design, build, and deploy predictive models using large datasets to enhance Kindsight's fundraising tools, while collaborating with cross-functional teams and mentoring junior staff at the senior level.

As a Senior Full Stack Software Developer at CoLab, you will focus on designing secure, scalable systems for enterprise workflows, ensuring maintainability, and contributing to both backend and frontend development, while mentoring others.

Design and build complex web applications and scalable APIs across front-end and back-end. Implement UIs with modern frameworks, develop microservices, manage SQL/NoSQL databases, deploy containerized cloud solutions, and maintain automated testing and CI/CD pipelines while collaborating with clients and teams.

The Sr. Manager will develop and implement risk reporting frameworks, ensure compliance with investment policies, provide in-depth risk analysis, and enhance data visualization tools to support risk discussions.

Assist in designing AI conversation models for contact center agents, collaborating with various teams, and supporting project delivery.

The Deployment Engineer will manage AI inference clusters, optimizing deployment, capacity allocation, and ensuring reliability of pipeline operations across datacenters.

As a Staff Software Engineer, you will lead the development of backend systems for LLM applications, ensuring quality and scalability while collaborating closely with cross-functional teams.

Operate and maintain enterprise Kong API Gateway on OpenShift, build and run on‑prem OpenShift clusters, manage service mesh (Istio), ensure observability, incident response, change management, platform lifecycle (scaling, upgrades, certificates), and support databases and host foundations with automation-first tooling.

Operate and maintain Red Hat AMQ messaging and secure file transfer platforms on OpenShift, supporting lifecycle, scaling, upgrades, observability, and incident response. Build and run on‑prem OpenShift, manage service mesh, OS/database foundations, automation, and capacity planning while ensuring security, compliance, and change management.

Lead and architect infrastructure solutions across physical and cloud environments (OpenShift, Azure/AWS/GCP). Ensure availability, security, monitoring, DR/BCP, vendor management, automation/IaC, and mentor platform teams while partnering with security and architecture.

Operate and maintain an on-prem OpenShift platform (clusters, operators, service mesh) including container/image lifecycle, CI/CD automation, ingress/TLS management, observability, DB support, incident response, and change management to meet SLOs and platform stability.

The AI Architect will design, code, and deploy hands-on AI solutions, leveraging AWS and Agentic AI patterns while leading technical team growth.

Lead the delivery of scalable kdb+ solutions for financial clients. Design robust architectures, mentor developers, and drive innovation in data management.

Develop and maintain kdb+ applications, analyze time-series data, mentor junior developers, and collaborate with teams to deliver solutions.