Top AWS Jobs in Toronto

The Production Support Engineer troubleshoots and resolves incidents in production, collaborates with teams for system improvements, and gradually contributes to coding and internal tools.

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.

The Staff Software Engineer will lead technical efforts in fundraising and reporting, ensuring best practices, mentoring engineers, and improving systems while collaborating across teams.

Manage the lifecycle of Redis software Kubernetes products, collaborating with engineering, partners, and internal teams to define product requirements and integrate solutions.

Lead cross-functional infrastructure programs, optimize AI systems, and improve scalability and performance in a hybrid technical environment.

The role involves overseeing the development of cloud infrastructure, providing leadership, collaborating with teams, and writing efficient, maintainable code.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

The Senior Back-End Software Engineer designs, develops, and maintains scalable backend systems while taking ownership of the software development lifecycle.

As a Full Stack Engineer, you will build AI-powered applications, manage client interactions, and apply best practices in MLOps and LLMOps.

The Senior Infrastructure/DevOps Engineer will design, implement, and manage cloud infrastructures using tools like Docker and Terraform, ensuring security and automation.

The Senior Software Engineer will develop and enhance Cribl Search, focusing on backend functionalities and distributed systems, collaborating as part of a remote team.

Design and build scalable applications for Clario's cloud healthcare platform, influencing architecture, mentoring peers, and ensuring secure solutions in an Agile environment.

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.

Design, develop, and maintain high-performance desktop and enterprise software and algorithms for scientific data compression, visualization, and management. Build scalable backend and web applications, optimize real-time performance (multi-threading/GPU), ensure code quality with tests and reviews, support deployed products, document technical specifications, and collaborate in Agile teams across global stakeholders.

The Principal Data Architect will design and evolve enterprise data architecture to support business growth and AI integration, ensuring a secure and efficient data ecosystem while collaborating with various teams to enhance data quality and governance.

The Senior Platform Technical Product Manager leads platform strategy, collaborates across teams, defines roadmaps, and ensures platform scalability and reliability, focusing on technical decision-making and developer experience.

The Senior Data Engineer will develop and deploy machine learning models, build end-to-end ML pipelines, optimize performance, and collaborate across teams to enhance AI capabilities at ClickUp.

The Head of Infrastructure will lead the strategic vision for cloud infrastructure, ensuring high availability, scalability, and security while overseeing a team and optimizing production operations.

The Senior Solutions Architect acts as a technical advisor, designing security solutions, leading client discussions, and ensuring seamless implementation alongside sales and engineering teams.

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.

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

The Data Scientist will work with fraud product owners to deploy fraud solutions, analyze complex data sets, and enhance predictive analytics while mentoring others.

The Full-Stack Developer will design, develop, and maintain scalable applications, mentor developers, and implement solutions using C#, .NET, TypeScript, and Angular.

The Senior Software Engineer will design and implement backend and frontend solutions using Java, Typescript, AWS, and Workday, in collaboration with stakeholders to meet business requirements.