Top AWS Jobs in Toronto

As a Full Stack Developer, you will design and maintain scalable applications, collaborate with teams, implement best practices, and mentor junior developers.

The Fullstack AI Platform Engineer develops AI agents and workflows using Python, React/TypeScript, and AWS services, focusing on agent logic and application integration.

The Senior Fullstack AI Platform Engineer will design and implement AI services on AWS, focusing on backend APIs, cloud infrastructure, and frontend development. Responsibilities include integrating agent services with Amazon Bedrock, building scalable applications, and supporting production operations.

The System Architect will oversee architectural services for Oracle Commerce Hosting, develop strategies for deployment automation, mentor junior members, and represent the organization in community forums.

Coordinate technical work in the team, ensure timely project delivery, and manage cloud server environments including AWS, Azure, and Openstack.

The Senior Backend Engineer will architect technology and enhance customer experiences, mentor junior engineers, and deliver scalable backend solutions.

As a Senior Full-Stack Engineer, you’ll architect technology and customer experiences for web products, mentor junior staff, and develop scalable platforms and APIs while collaborating with cross-functional teams.

The Lead Data Scientist will design and implement data-driven solutions, lead a team of data scientists, and collaborate across functions, while managing machine learning pipelines and mentoring junior staff.

The role involves investigating performance issues, optimizing systems, and mentoring teams within a JVM-based microservice architecture, focusing on efficiency and innovation.

The Senior Application Engineer will architect and develop AI agents using Salesforce Agentforce, build automations, and integrate external data sources, while collaborating on projects and mentoring others.

The Principal Software Data Engineer will design, develop, and maintain data platforms and pipelines, mentor teams, and drive technical excellence in data solutions, focusing on microservices architecture and scalability.

As a Full-Stack Software Engineer, you will build end-to-end features, develop backend services, and create frontend applications while using AI-assisted tools and collaborating with teams.

The Data Governance Intern will assist in developing enterprise data catalogs, documenting data elements, and supporting data quality efforts using SQL and Python.

Design and implement agentic workflows using Netomi's platform, working with clients to create scalable AI solutions and technical demonstrations.

The Senior Solution Engineer will design and implement AI workflows, collaborate with clients for custom solutions, and communicate technical concepts effectively across teams.

The Senior Software Engineer will manage project implementation and deployment, maintain existing software, troubleshoot issues, and design scalable solutions using Python and Django.

The Software Developer will design, build, deploy, and maintain software tools and infrastructure for quantum hardware development, ensuring code quality, collaboration with engineers, and supporting production processes.

As a Software Developer at Xanadu, you will design visualization interfaces, maintain a Python backend, and optimize performance for quantum computing tools while collaborating with diverse teams.

As a Solution Architect, you will engage with clients to design and implement software solutions, ensuring seamless integration and supporting ongoing success through technical expertise and collaboration.

The role involves designing and implementing identity solutions in a cloud environment, focusing on automations for a managed service product, particularly utilizing AWS and identity technologies.

The Senior Infrastructure Engineer will design, implement, and manage infrastructure in on-premises and cloud environments, focusing on automation and security, while leading complex initiatives and collaborating across teams.

The Data Operations Specialist will manage data operations, ensuring quality data services and compliance, while optimizing data workflows and conducting audits.

Responsible for bridging enterprise data with AI capabilities, translating business challenges into operational solutions, and driving complex sales deals by connecting technical solutions to business value.

The Site Reliability Engineer will enhance operational reliability, managing incidents, improving system performance, and maintaining metrics to ensure scalability and resilience.

The DevOps Engineer will enhance CI/CD workflows, manage AWS infrastructure, automate operations, and improve system reliability and monitoring.