Top AWS Jobs in Toronto

Design and advance core infrastructure for engineering, ensure Kubernetes reliability, automate operations, and support AI infrastructure.

As a Backend Engineer at Trust Wallet, you'll develop backend features for multiple platforms, maintain infrastructure, ensure system monitoring, and foster team growth.

Own end-to-end ML projects focused on recommendation and LTV signals: develop, evaluate, and deploy models; build training/scoring pipelines; run A/B tests; monitor production models; collaborate with product and analytics; mentor colleagues.

The Account Manager will nurture customer relationships, manage support escalations, negotiate commitments, identify growth opportunities, and deliver quarterly reviews, ensuring high customer satisfaction and alignment with cloud vendor goals.

Design, develop, test and maintain cloud-based data applications and infrastructure on AWS. Build and optimize ETL and streaming pipelines, support CI/CD and infrastructure as code, and collaborate with stakeholders to improve performance and deliver technical solutions independently.

As a Senior DevOps Engineer, you'll build and manage cloud infrastructure, optimize CI/CD pipelines, collaborate with teams on compliance, and lead incident resolutions.

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.

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

The Solution Architect will design and implement both backend and frontend architectures, utilize cloud-native technologies, and ensure robust event-driven and serverless computing capabilities while optimizing performance and workflows.

As an Entry Level Full Stack Developer, you will design, develop, and maintain scalable applications, collaborating with teams to enhance user experience and implement best practices in coding and testing.

The Senior Full Stack Software Developer will design, develop and implement scalable applications, manage system architecture, mentor developers, and drive engineering excellence.

Design and develop scalable backend services using Ruby on Rails, resolve performance bottlenecks, and collaborate with cross-functional teams.

The Senior Full Stack Developer will enhance Practice Better's AI-powered platform by developing software solutions, collaborating with teams, and optimizing performance.

Develop and maintain enterprise-level cloud services for Autodesk's AEC platform, collaborating with cross-functional teams to enhance product performance and efficiency.

As a Staff Data Scientist, you will analyze large-scale broadband data, develop and validate ML models, and integrate solutions into Calix Cloud, collaborating with teams for enhanced network intelligence and subscriber experience.

As a Deliverability Engineer, you will enhance the core email sending capabilities, ensuring transactional and marketing emails are effectively delivered by managing reputation, diagnosing issues, and building metrics and dashboards.

The Backend Engineer will build and maintain Resend's email transport infrastructure, focusing on SMTP delivery, routing, and system design for high-volume email sending. They will ensure the reliability and observability of the systems while participating in incident response.

The Applied AI Scientist will develop and experiment with small language models, integrate AI systems, curate training data, and evaluate model performance in a collaborative R&D environment.