Top AWS Jobs in Toronto

Seeking a Full-Stack Engineer with 3+ years of experience to develop and enhance data collaboration tools using LLMs, focusing on frontend and backend development.

The Principal Software Developer will architect and build scalable gaming systems, lead development teams, ensure security practices, and innovate with AI/ML technologies.

The Applications Development Senior Lead oversees application systems development, team management, budget control, stakeholder engagement, and integration of advanced technologies while ensuring project delivery and operational alignment.

Responsible for designing and operating data architecture, building ETL/ELT pipelines, implementing data quality frameworks, and collaborating on ML initiatives.

As a Site Reliability Engineer at Air Apps, you'll enhance system reliability through automation, monitoring, and performance optimization, collaborating with development teams to build resilient cloud solutions.

As a Release Engineer, you will manage release pipelines, ensure smooth software deployment, automate processes, and collaborate with engineering teams to enhance release efficiency and reliability.

As a Software Architect at Air Apps, you'll define system architecture for an AI platform, guiding engineering teams in best practices and ensuring high performance and security.

As a Software Architect at Air Apps, you'll define system architecture, guide technical teams, and evaluate new technologies for software solutions.

Seeking a Full-stack Software Developer Specialist to design and deliver scalable applications, focusing on data engineering with Python and Databricks. Key responsibilities include developing data pipelines, implementing APIs, testing, and collaborating within a team structure.

The Senior Platform Engineer will oversee Kubernetes troubleshooting, maintain Terraform standards, manage deployments, and ensure operational stability of platform services across the Auth0 infrastructure.

As a Senior Full-Stack Developer, you will architect and build custom web applications, integrating AI, designing APIs, and managing backend and database layers, ensuring security and performance across various client projects.

The Account Manager will build relationships, manage sales, operations, and marketing efforts for SOTI's enterprise customers, focusing on revenue growth and complex sales strategies.

The Staff Data Engineer will develop cloud-native data platforms, lead technical strategy, optimize pipelines, ensure data quality, and mentor engineers.

The Senior Inference Engineer will optimize and scale AI workloads, improve model performance, and integrate AI models into production APIs while collaborating with various teams.

The DevOps Engineer will maintain operational stability for a large-scale IVR platform, manage deployments, investigate issues, and enhance platform reliability and observability in AWS and on-premises environments.

As a Staff Backend Engineer, you will architect and develop high-performance search and discovery systems, integrating AI capabilities and optimizing search functionalities while mentoring the engineering team.

Responsible for FinOps processes including chargeback, payment, reporting, and data analytics. Enhance cost management tools, optimize savings, and ensure compliance with policies.

Responsible for driving automation solutions to enhance business processes, leading ideation sessions, designing solutions, and evaluating AI tools while ensuring compliance and quality standards.

The Senior Data Engineer will design and maintain scalable data pipelines, collaborate with stakeholders, and ensure data governance and quality. Responsibilities include project ownership, mentoring juniors, and implementing data solutions across platforms.

The Sr. Principal Engineer will architect and design scalable distributed systems for Autodesk's Search Platform, collaborate with teams, and mentor engineers.

The role involves developing a multi-tenant durable workflow engine, implementing tech solutions, leading initiatives, and collaborating across teams while ensuring scalability and security compliance.

The Senior QA Analyst will build automation frameworks using Python, validate data pipelines in AWS, and conduct deep-dive SQL analyses to ensure data integrity and system performance in a trading environment.

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 Big Data Engineer will design and maintain data pipelines, manage AWS infrastructure, optimize ETL processes, and support operational activities while mentoring junior staff.

The QA Analyst / Automation Tester will create test cases, develop automation scripts, validate data, track defects, and support UAT and releases.