Top AWS Jobs in Toronto

As a QA Engineer, you'll develop test plans, execute test cases, write automated tests, and enhance project quality in collaboration with a cross-functional team.

As a Full Stack Software Developer, you'll design and develop enterprise applications, collaborate in Agile teams, and work with various technologies.

The Sr. Quality Assurance Engineer will develop test plans, execute test cases, automated tests, and ensure project quality in an Agile environment.

The Cloud and DevOps Developer will implement DevOps best practices, design cloud solutions, collaborate with teams, and manage infrastructure projects.

Design and develop scalable applications in an Agile team, collaborating closely on features while learning and applying new technologies.

As a Senior Staff Software Engineer, you will define technical strategies for resilience, mentor engineers, and implement operational guardrails to enhance system reliability at Nubank.

Lead the deployment of North in private cloud environments, collaborating with IT teams, designing strategies, and resolving technical issues.

Lead the development and architecture of voice biometric systems and conversational AI agents, ensuring secure and sophisticated interactions.

The Senior Data Scientist provides analytical support for campaign execution, utilizing data insights and machine learning techniques to solve business problems, establish predictive models, and lead data-driven solutions.

The Cloud Engineer will design and deploy cloud-based media workflows, optimize rendering environments, and integrate customer production pipelines, requiring strong technical and customer-facing skills.

Build and maintain infrastructure and environments using Terraform and AWS, implement DevOps processes (containerization, CI/CD, IaC), automate operations, support and monitor production systems, manage cloud account health (security/cost), and collaborate with development, testing and client services to improve platform reliability and availability.

The Data Solutions Consultant designs and builds data and machine learning solutions, collaborates with partners, and optimizes workflows for insights.

The Senior Product Manager will manage data quality features for the Compass Platform, collaborating with teams to enhance data integrity and deliver product features. Responsibilities include designing specifications, managing backlogs, and ensuring product releases align with customer needs.

The Senior DevOps Engineer will manage production infrastructure, CI/CD pipelines, cloud platforms, and troubleshoot complex issues while supporting engineering teams and enhancing operational stability.

Lead a high-performing team to develop the Hotels CFAR platform, manage partner integrations, and ensure technical excellence while collaborating with multiple teams to align engineering outputs with business goals.

The Demo Engineer maintains and upgrades demo environments, troubleshoots issues, collaborates with the team on Proof of Concepts, and manages data sets for sales demos.

As a DevOps Manager, you will lead a DevOps team, manage infrastructure reliability, enhance automation tools, and collaborate with cross-functional teams to support platform growth.

Lead and manage teams of engineers at Zipline, ensuring delivery of scalable features while mentoring team members and driving AI adoption in development practices.

As a Senior Fullstack Engineer, you'll design and develop healthcare AI applications, architect scalable solutions, collaborate with teams, and optimize performance.

The Senior Full Stack Engineer will design and develop fintech applications, mentor teams, and advise clients on best practices while ensuring security and compliance.

The Platform Engineer will build and operate a cloud-based data platform, develop data pipelines, optimize data models, and design secure network architectures for IoT devices.

As a Machine Learning Engineer, develop ML models, data pipelines, conduct analytics, and work on image and video inference for fish health and behavior.

As a Computer Vision Engineer, you'll develop software pipelines for image and video inference, improving fish farm efficiencies using deep learning and computer vision techniques.

The role involves building, deploying, and maintaining ML infrastructure, optimizing systems, and ensuring production reliability while collaborating with data scientists and product teams.

As a Software Engineer Intern, you will assist in developing features for a climate adaptation software, collaborating with teams and learning modern engineering practices.