Top AWS Jobs in Toronto

Support, maintain, and improve core platform services. Investigate issues, provide technical support, and ensure operational efficiency while collaborating with teams.

The Analytics Engineer will design and implement a data platform, maintain data pipelines using SQL and Python, and support data governance in cloud environments.

The Solutions Engineer role focuses on customer success in deploying the CDP platform, collaborating across teams, and delivering technical solutions to support sales goals.

As a Platform Engineer for Databases, you'll optimize MySQL infrastructure, solve performance problems, automate processes, and ensure database reliability in a collaborative team setting.

Design, build, and maintain hedge accounting features; collaborate on Agile projects; ensure software accuracy; mentor junior engineers.

The role involves enhancing the stability and performance of AI and DevOps platforms, leading design and implementation of infrastructure, managing databases and messaging systems, and driving DevOps practices within the team.

The role involves designing and deploying AI applications, leading development projects, and mentoring engineers while collaborating with experts in a healthcare-focused environment.

The Senior Cloud Engineer designs and operates secure, scalable cloud solutions on AWS, implements Infrastructure as Code, and ensures compliance with security practices.

Join Docker's IAM team as a Senior Software Engineer to design and operate backend identity services focusing on authentication, authorization, and security for millions of developers. You'll lead projects, mentor teammates, and evolve Docker's identity model in a remote-first global environment.

The Senior Software Engineer will design, build, and maintain solutions for transit agencies, focusing on IoT devices and cloud services, ensuring reliable communication and device management.

Lead the engineering team managing 300+ destination integrations, focusing on technical execution, product improvements, and mentoring engineers while ensuring customer satisfaction.

The Staff Platform Engineer will design and implement scalable infrastructure for AI applications in manufacturing while ensuring reliability, operability, and cross-team collaboration.

As an AI Engineer, you will develop and deploy computer vision models, monitor their performance, own AI projects, and collaborate cross-functionally.

The Elastic AI Engineer will design agentic workflows, integrate AI models with tools, manage deployment, and ensure data security while leveraging the Elastic Stack for enterprise solutions.

The Lead Platform Engineer will ensure platform reliability, performance, and scalability, guide technical design decisions, and manage a small engineering team.

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.

As a Staff AI Software Engineer, you will design and build autonomous AI systems for security testing, focusing on reliability, scaling, and integration with enterprise infrastructure, all while collaborating with top security experts.

Architect and develop systems for the Ads platform, focusing on campaign management, targeting, delivery, and performance. Lead technical decisions and mentor engineers while collaborating with cross-functional teams to fulfill business requirements.

As a Data Engineer, you'll design and maintain data pipelines, model data for analytics, ensure data quality, and collaborate with teams to meet data needs.

Lead and manage a team of Site Reliability Engineers, ensuring platform stability, overseeing infrastructure projects, and driving operational efficiency while adhering to SRE best practices.

The Senior Fullstack Engineer will develop and enhance integration products, architect scalable solutions, and refactor legacy systems while mentoring team members and collaborating cross-functionally.

As a Senior Fullstack Engineer, you will enhance Cloudbeds' products by architecting scalable solutions, focusing on performance, security, and integrating with major distribution channels, while mentoring team members and contributing to microservices migration.

Solutions Engineers develop customized software solutions for e-commerce merchants, providing technical expertise in pre-sale and post-sale processes while collaborating with teams to design and deliver integration solutions.

As a Senior Software Engineer, you will lead your team in delivering features according to specifications, ensuring scalable technical decisions, and mentoring team members.

As a Backend Software Engineer, you will enhance detection engines and analysis systems, focusing on scalable distributed systems and analyzing mobile applications' behavior and risks.