Top AWS Jobs in Toronto

The Business Systems Analyst will manage business requirements for projects in the investment management industry, collaborating with teams to deliver solutions and support systems, ensuring stakeholder expectations are met and projects adhere to deadlines.

The Manager of ETL/Data Services leads data integration projects, focusing on scalable ETL solutions, cloud modernization, and team mentorship. Responsibilities include architecture design, collaboration with teams, technical leadership, and process optimization.

The Cloud Infrastructure Engineer designs and maintains AWS cloud infrastructure, leading migration initiatives, automating deployments, and collaborating with teams to ensure security and performance.

The role involves designing, developing, and maintaining software systems for a search platform, utilizing AI and cloud technologies. Responsibilities include managing production systems, mentoring junior engineers, and participating in operational tasks with a focus on reliability and security.

Lead the adoption of Generative AI and Large Language Models in enterprise solutions, focusing on engineering, collaboration, and innovation. Engage with stakeholders, implement scalable AI systems, and drive cultural change and efficiency.

The Sales Engineer will manage technical relationships, design AI/ML solutions, deliver demos, train customers, and provide feedback to product teams.

The Senior DevOps Engineer will work on product development, ensuring smooth operations of systems, and improving CI/CD workflows while addressing security vulnerabilities and system health monitoring.

The candidate will develop and implement reusable frameworks for AppOps processes, focusing on automation, integration, and operational efficiency within cloud infrastructure.

Design, build, deploy, and maintain large-scale backend and distributed systems for Lyft's Incentives & Messaging Growth Platforms. Collaborate with product and ML teams, improve automation and reliability, and deliver well-tested, production-grade services.

The Java Developer will design, develop, and maintain Java-based applications for risk management, focusing on cloud technologies and data messaging systems.

The role involves full-stack development using Java and modern front-end frameworks, system architecture, API development, and cloud DevOps practices. Responsibilities include collaborating with teams, mentoring juniors, and ensuring software quality and performance.

Develop and test production code for web applications, collaborate with teams to plan features, and debug production issues.

The Software Engineer will design and develop cloud services and web applications, enhance platform functionality, streamline deployments, and support production infrastructure within an Agile environment.

The Associate Vice President leads engineering solutions for Group Functions, ensuring secure, scalable, and maintainable systems while driving engineering excellence through technical leadership and modern practices.

The Lead Site Reliability Engineer will apply software engineering principles to ensure system reliability, mentor engineers, and evolve cloud services. Responsibilities include designing automation frameworks, improving service reliability, and leading disaster recovery initiatives.

As Director of AI Innovation Hub, you will lead AI integration efforts, influence business transformation, and manage a team to deliver measurable impact through innovative AI solutions.

The Senior Cloud Automation Engineer will manage server performance in the public cloud, create automation systems, oversee Cloud Automation projects, and collaborate with technical teams.

As a Senior Machine Learning Engineer, you will design, build, and deploy machine learning models, lead data analysis, and implement MLOps practices within the AI Core team.

The Digital Product Owner will lead software product development supporting portfolio management in R&D, collaborating with teams, managing the product lifecycle, and ensuring user satisfaction and continuous improvement.

As a Senior Data Scientist, you will design, build, and operate machine learning and GenAI systems, influence technical direction, and mentor junior data scientists, focusing on production ML systems.

Manage and expand strategic relationships with key hyperscaler partners, driving revenue outcomes through co-sell initiatives and partner alignment.

The Data Developer designs data pipelines and optimizes workflows using AWS and GCP, integrating various data sources and developing visualizations to support analytics initiatives.

Lead the design and deployment of AI/ML solutions for grid automation, manage teams, drive innovation, and ensure adherence to architectural standards.

The Enterprise Architect leads the development of AI and Data architecture, aligning technology with business needs while ensuring adherence to governance standards. They provide strategic guidance, collaborate with stakeholders, and utilize advanced technologies to enhance solutions and processes.

The role involves developing internal platforms, managing cloud infrastructure, automating CI/CD processes, and enhancing engineering efficiency through full-stack development and platform operations.