Top AWS Jobs in Toronto

The Director of Engineering will lead a growing team, oversee technical architecture, improve delivery processes, and ensure engineering excellence. Key responsibilities include team leadership, cross-functional collaboration, and leveraging AI tools for development.

Lead a team of software developers at Ticketmaster, overseeing the development and maintenance of high-quality backend services while driving collaboration and delivering an exceptional ticketing experience.

The Technical Lead will design and implement backend systems, mentor engineers, optimize performance, and manage cloud architecture while ensuring scalable and reliable data processing.

As a Software Engineer, you will design, develop, and maintain distributed backend systems for IoT device connectivity, focusing on scalability, performance, and reliability.

The Principal Advisor for Cloud Strategy is responsible for developing multi-cloud infrastructure strategies, hands-on engineering automation, and leading transformation initiatives while providing leadership and technical advice to executives and teams.

As a Senior Data Scientist, you will design AI solutions, lead NLP implementation, and mentor junior staff while transforming data into actionable insights.

The Staff Software Engineer will develop and deploy high-performance machine learning systems, optimizing large language models for production environments. Responsibilities include ensuring high availability and low latency for AI applications and working collaboratively across teams.

The Site Reliability Engineer will develop, deploy, and operate AI infrastructure, focusing on high-performance and scalable machine learning systems using Kubernetes and cloud platforms.

Develop and deploy AI solutions for enterprise clients, focusing on large language models and agentic systems integration while ensuring quality, scalability, and security.

The Data Engineer will provide technical support and deployment expertise, review data designs, and ensure code quality while collaborating with international teams on a strategic data initiative.

As a Senior Backend Engineer, you will design and build high-load backend services, influence technical direction, and contribute to the engineering culture at ecobee.

As a Principal Software Developer, you'll lead technical designs, mentor team members, collaborate with stakeholders, and develop scalable SaaS applications for digital twins.

Lead the design and implementation of AI-enhanced workflow solutions, overseeing architecture, development, and team mentorship in financial services.

The Sr. Software Engineer will design and develop scalable, distributed micro-services for Autodesk's Search Platform, ensuring security and optimizing performance.

Manage and lead a team of engineers, oversee software development for ML platforms, and ensure high-quality project execution while collaborating across teams.

The role involves integrating generative models into Intangible Studio, evolving job systems with TypeScript and Node, and maintaining high visual quality standards.

The Technical Architect is responsible for designing and implementing scalable solutions, engaging with customers and vendors, and mentoring engineering teams. They must contribute code and ensure successful delivery while maintaining a hands-on approach.

Design and deploy scalable data infrastructure and models, maintain CDC pipelines, build reporting tools and dashboards, write high-performance SQL, partner with product and engineering to enable enterprise-wide analytics and data-driven decision making.

As a Founding Engineer, you'll develop backend systems, optimize applications, and influence technical direction for an AI-powered knowledge platform.

The Full-Stack Engineer will develop and maintain web applications, translating UI/UX designs into responsive apps, optimizing applications, and writing clean code.

The Sr Software Development Engineer will design and maintain scalable cloud-based solutions, lead project technical direction, and ensure high-quality deliverables in a fast-paced Agile environment.

The Senior/Principal ML Engineer will build digital infrastructure for computational workloads, focusing on model iteration, deployment, and collaboration with scientists. Responsibilities include developing ML workflows, defining CI/CD pipelines, and mentoring team members.

The Full Stack Software Engineer will develop user experiences across web and mobile, integrating frontend and backend systems, manage APIs and databases, and ensure code quality through testing.

As a Software Engineer, AI/ML GenAI, you will design and implement AI features, manage embeddings, and optimize AI systems for production deployment while collaborating with product and design teams.

This role leads compliance automation within the GRC function, managing integrations, designing AI-driven workflows, and ensuring continuous compliance monitoring and risk management.