Top AWS Jobs in Toronto

As an Engineering Lead, you will architect and drive the execution of AI-integrated solutions for enterprise clients, managing multiple projects and ensuring secure, scalable implementations while communicating with technical stakeholders.

Develop and enhance gameplay features for NFL Universe Football, focusing on quality, scalability, and player engagement. Collaborate with creative teams and participate in code reviews.

The Sr Client Executive will drive growth in Enterprise accounts within the Financial Services sector, focusing on customer retention, strategic account planning, and managing complex sales cycles.

The role involves designing and maintaining reinforcement learning environments, developing containerized execution environments, managing integrations, and collaborating with data operations for AI training.

As a Data Engineering Architect, lead the transformation of data engineering into a modern platform, oversee architecture and technical leadership, design scalable systems, ensure data quality and governance, and mentor teams for a data-driven culture.

The Head of Product will lead product strategy, develop AI capabilities, manage the product roadmap, and expand the product suite in a cloud development startup.

The Product Scientist will manage client relationships and analytics for MLB and NCAA teams, validate model outputs, support sales, and enhance the platform with insights.

The Senior Site Reliability Engineer will ensure reliability and scalability of cloud infrastructure, enhance incident management, and optimize operational efficiencies through collaboration with various teams.

Design, architect, and implement new features for the Spellbook application while collaborating with product management and improving existing functionalities using AI technologies.

As a Technical Account Manager, you will guide strategic customers through their orchestration journey, ensuring smooth adoption and driving measurable customer outcomes while providing expert technical advice and fostering relationships among cross-functional teams.

The role requires designing and developing web applications and backend systems, integrating LLMs, and ensuring quality software delivery.

Lead the architecture and development of enterprise software tools, focusing on secure cloud systems, Node.js applications, and AI integrations while ensuring quality and reliability.

The Software Engineer will develop backend systems for an AI Energy Agent, including data integration, microservices, and scalable architecture, focusing on performance and reliability.

The Founding Software Engineer will build and enhance crisis-intervention software, focusing on mobile and web applications for government welfare, ensuring compliance and integrating data securely. Responsibilities include feature development, security enhancements, and managing interns.

The Staff Software Engineer at Narvar will drive the architecture of new product platforms and mentor junior engineers while developing scalable distributed systems.

As a Staff Software Engineer, you will design and develop scalable software solutions, contribute to cloud-native architecture, ensure high code quality, and collaborate across teams.

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software quality.

Designs, develops, migrates and maintains scalable cloud applications on AWS using serverless and container patterns. Leads solution design, builds CI/CD and IaC pipelines, ensures security, monitoring, and operational excellence, mentors engineers, and translates business needs into technical specifications.

As a Senior Machine Learning Engineer, you will develop and deploy ML models for health data analysis, collaborating with cross-functional teams to ensure reliability and regulatory compliance.

The Technical Product Manager will collaborate with partners, define project scopes, lead agile meetings, ensure clear communication between teams, and conduct quality assurance throughout the software development lifecycle.

Design, build, and deploy cloud-native frontend and backend applications integrating Generative AI and LLMs. Develop APIs/microservices on AWS, implement data engineering with Databricks/PySpark, and use containerization and CI/CD for scalable, secure solutions. Collaborate with product and engineering teams and drive best practices in AI and cloud architecture.

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.

The role involves designing and implementing scalable backend services using Node.js and AWS, ensuring data integrity through SQL, optimizing system performance, and collaborating effectively with cross-functional teams in an agile environment.

The Senior React Native Developer will design, build, and ship cross-platform mobile apps, ensuring high performance and reliability while collaborating with various teams.

Responsible for designing, building, and maintaining scalable data pipelines using Databricks. Optimize ETL/ELT processes and ensure data quality, governance, and security.