Top AWS Jobs in Toronto

Develop, test, and deploy AI-powered automations for marketing operations. Collaborate on API integrations and optimize workflows while writing clean code.

The role involves designing and implementing ML pipelines, optimizing models for production, collaborating with scientists and engineers, and ensuring responsible AI practices.

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 Software Engineering Manager will lead two teams in developing and maintaining the AutoTrader.ca marketplace, focusing on team growth, delivery predictability, and product strategy while leveraging AI for development.

The Full Stack Software Engineer at AutoSync will develop robust software solutions, champion code quality, and collaborate in an agile team to innovate and streamline operations in the automotive sector.

Lead high-impact AI initiatives, develop ML products, collaborate with cross-functional teams, and mentor data scientists in a dynamic environment.

The Senior Manager of Software Engineering will lead software development for the TeraWave satellite communications network, focusing on software quality, team leadership, and agile methodologies.

The Senior Mobile Developer will design, develop, and maintain mobile applications, lead project teams, mentor juniors, and ensure high-quality software delivery.

Lead the development of AI-driven models and frameworks to optimize clinical trials, collaborating across disciplines and mentoring junior scientists.

Provide expert technical support, diagnose and resolve complex issues, collaborate with teams, and enhance customer satisfaction through effective troubleshooting and communication.

As a Senior/Principal Machine Learning Engineer, you will design and build core ML systems for Workday's AI agents, owning the entire lifecycle from problem framing to deployment and improvement, while collaborating cross-functionally to create scalable solutions.

The PHP Developer will design, develop, and maintain features of a data visualization application, focusing on high-quality code and collaboration.

The Staff Software Developer will design and develop advanced software for Mass Spectrometry platforms, tackling complex challenges and mentoring team members.

The Staff Software Developer will architect and deliver software for advanced Mass Spectrometry platforms, addressing real-time control and data analysis challenges while mentoring junior team members.

Design, develop, and optimize big data solutions using Databricks, Apache Spark, and cloud platforms. Collaborate with teams to ensure high-performance data architectures.

The Java Full Stack Developer will develop backend services, design Microservices, and build responsive UIs with React.js, ensuring integration and performance optimization.

Design, develop, and integrate scalable applications using Angular for frontend and Java with Spring Boot for backend. Ensure seamless user experience and performance while collaborating with cross-functional teams.

Design, develop, and maintain backend services using Core Java and Spring Boot, working with Microservices, RESTful APIs, and SQL/NoSQL databases.

The Machine Learning Engineer will design, develop, and deploy ML pipelines, optimize models, collaborate on data workflows, and implement MLOps best practices in a fintech environment.

Drive net-new revenue by building and managing a qualified pipeline in target industries. Lead outreach across accounts, coordinate solutioning and proposals, collaborate with marketing and delivery, engage prospects via outbound and events, and maintain CRM pipeline discipline to close IT, cloud, and AI-led transformation deals.

As a Fullstack Software Engineer, you'll enhance AI-driven contract management solutions, collaborating with cross-functional teams to deliver scalable products.

As a Software Developer, you'll aid in building and maintaining products for the pennylane.ai ecosystem, implementing APIs, and performing DevOps tasks while ensuring high-quality code.

As a Lead DevOps, you will govern and optimize cloud costs, build data pipelines, implement CI/CD, and mentor junior team members.

The Engineering Manager will lead and grow a team of full stack engineers, overseeing delivery and ensuring scalable, high-performance services for the CCaaS platform while collaborating across various teams.

The Data Engineer will develop and optimize data infrastructure, maintaining data pipelines and ETL processes using Snowflake and AWS, while collaborating with stakeholders to ensure data quality and compliance.