Top AWS Jobs in Toronto

The Data Analyst will analyze large datasets, collaborate with stakeholders, develop data processes, and support data-driven decision-making to improve business efficiency.

The role involves leading the design and delivery of a search platform's API and cloud infrastructure, focusing on providing self-service capabilities to internal clients. Responsibilities include API ownership, cloud infrastructure management, reliability engineering, and technical leadership.

The Vice President of Engineering will lead the development of the engineering organization at VendorPM, focusing on technical architecture, team culture, and delivery execution, while integrating AI systems into their processes.

The Manager of Data Operations will lead a team to ensure the reliability and scalability of data platforms, enforce operational standards, and implement CI/CD practices. Responsibilities include monitoring data quality, incident management, and collaborating with various teams to enhance data operations.

Lead the design of generative AI solutions and multi-cloud architectures, translating business use-cases into scalable systems for enterprise deployments.

The Technical Business Systems Analyst will bridge business and technology by gathering requirements, designing APIs, automation workflows, and system integrations, while ensuring delivery aligns with client needs.

Lead and manage a diverse engineering team on the Data Platform, focusing on scalable infrastructure, collaboration across teams, and operational excellence.

Design, build, and scale data-driven platforms and systems, focusing on backend and frontend engineering, integrations, and AI capabilities.

Manage AI compute clusters, monitor systems health, optimize resources, and troubleshoot technical issues, ensuring high performance for ML applications.

Develop high-performance cloud software for preconstruction services, collaborating in an agile team to innovate and improve software processes.

As a Staff Cybersecurity Analyst, you'll lead threat detection, incident response, policy development, and cybersecurity training while mentoring team members.

As a Senior Software Engineer in Telematics, you will develop backend systems, lead projects, and enhance data insights for safety innovations at Lyft.

The IT Audit Manager plans and executes IT audits, assesses risks, tests IT controls, and communicates findings to enhance the risk/control environment at Canadian Tire Corporation.

The Lead Data Scientist designs and implements data-driven solutions, leads a team, collaborates with cross-functional teams, and mentors junior scientists while staying updated with industry advancements.

As a Staff Software Engineer, you will define technical vision, lead backend systems architecture, mentor engineers, and drive scalable solutions.

The Tech Lead will refactor and evolve automation systems for complex insurance transactions, ensure scalability and reliability, and lead a team hands-on in using AI for future enhancements.

The Engineering Manager will lead the evolution of automation systems for an insurance app, focusing on robust architecture and AI integration. Responsibilities include refactoring existing systems and growing user capacity from 5M to 50M.

Lead refactoring and automation of backend systems at Jerry.ai. Transition legacy systems to scalable architecture using AI-first approaches and ensure high system design standards.

The Senior Software Engineer will develop software by writing clean, efficient code, automate tasks, and collaborate with teams to enhance products, emphasizing TDD and API development.

The Senior Software Engineer will develop and maintain software solutions, write efficient code, perform testing, and collaborate with teams to enhance product performance.

The CPQ Lead Solution Engineer will drive engineering strategy and implementation of CPQ solutions, provide technical leadership, collaborate with teams, and ensure system stability.

The AI Engineer will design, implement, and deploy AI solutions leveraging Generative AI and agentic architectures, integrating various tools and frameworks while collaborating with cross-functional teams to deliver production-grade applications.

Develop and maintain Java applications on Linux systems, integrate AWS services, collaborate on solutions, and ensure best practices in code reviews.

The IT Audit Manager plans and executes IT audits, assesses cybersecurity controls, documents findings, and promotes compliance, leveraging data analytics and AI.

The AI Engineer will design, develop, and deploy machine learning models, collaborate across teams, and optimize performance while maintaining data pipelines.