Top AWS Jobs in Toronto

Drive CI efforts, ensuring reliable and scalable development pipelines, while mentoring other engineers and improving developer productivity through tooling and automation.

The Staff AI Engineer will design and implement AI workflows, mentor engineers, ensure compliance and scalability in production AI systems using tools like LangGraph and LangFuse.

As a Senior Backend Software Engineer, you'll develop systems and APIs for applications, ensure scalability and availability, and may lead teams, focusing on agile development and collaboration with multidisciplinary teams.

The Principal Consultant will lead the design and deployment of cloud infrastructure solutions on AWS and Azure, utilizing Terraform and automation tools, while collaborating with sales and technical teams to ensure project success.

The role focuses on extracting, cleaning data, building and maintaining machine learning models, and optimizing business strategies using data science methodologies.

As a Senior Staff Engineer, you will design scalable solution architectures, oversee technical designs, ensure compliance with standards, and mentor teams.

Lead the implementation of AI agent workflows, conduct architectural reviews, design production systems, and optimize platform performance at Acquia.

The Software Engineer will enhance Lending products for Cash App, focusing on building complex systems, APIs, and collaborating with multiple teams to support economic empowerment through accessible credit.

The Information Systems Engineer will design integrations and enhance engineering processes across various business systems, focusing on scalability and efficiency. Responsibilities include collaborating with teams to implement systems solutions, optimizing integrations, monitoring performance, and supporting production applications.

As a Software Engineer, you will design and build backend services and integrations for financial operations, focusing on scalable technology solutions and AI enablement, while collaborating with cross-functional teams to ensure compliance and data integrity.

The Engineering Manager leads Data Engineering teams, developing scalable data solutions and collaborating with stakeholders to drive McCain's digital transformation.

The Engineering Manager will lead the data platform team, driving architectural decisions, optimizing systems for performance, and collaborating cross-functionally to enhance data usability and value.

As a Senior Staff Engineer, you will design scalable iOS architectures, mentor teams, and influence technical strategies while collaborating with cross-functional groups.

As a Senior Software Engineer, you will lead projects from discovery to launch, improve system performance and collaborate across teams.

The Staff Analytics Engineer will develop and manage the Financial Subledger Data Platform using dbt and Snowflake, ensuring data quality, building models, automating workflows, and coaching an Analytics Engineer.

Build and scale self-serve, customer-facing growth products across the full stack. Partner with product, design, and GTM teams to run data-driven experiments, deploy production-quality systems, and drive revenue, retention, and engagement.

The Lead Full Stack Developer will design, build, and deploy applications on AWS, implement AI/ML solutions, lead a team, and collaborate closely with cross-functional teams.

Looking for a Software Engineer to build financial products and tooling for Cash App's Lending team, ensuring quality and compliance while collaborating across domains.

The Senior Software Engineer will own delivery goals, collaborate on product development, identify and solve technical issues, and foster quality and ownership on their team.

The Staff Product Security Engineer will enhance product security through collaboration with teams, threat modeling, code analysis, and developing security-focused testing practices.

The Software Engineer will develop platform infrastructure for Cash App, focusing on scalable solutions and AI-driven tools, while collaborating cross-functionally to ensure customer trust and safety.

The Data Scientist will solve challenges in manufacturing operations using data science, machine learning, and computer vision. Responsibilities include deploying ML and AI initiatives and analyzing data to improve processes.

Develop and maintain web applications, collaborate on features, write efficient code, troubleshoot issues, and deploy in AWS.

Lead client-facing data solutioning and pre-sales within Consumer verticals, design and translate architectures into delivery, maintain ~50% billable involvement, drive pipeline growth and close complex data opportunities while ensuring information security and privacy compliance.

The Principal Software Engineer will design and optimize backend applications/services, improve payment integration, and oversee code quality within AWS.