Top AWS Jobs in Toronto

Lead the Lakehouse Analytics team, overseeing storage services, managing large-scale data systems, and mentoring engineers while collaborating across engineering functions.

Design, develop, and deploy scalable AI solutions including multi-agent workflows, integrate LLMs via APIs and microservices, build prototypes, perform prompt engineering, monitor model performance, mitigate hallucinations, and collaborate with data and engineering teams to align AI with business needs.

As a Customer Support Engineer, you'll troubleshoot Kubernetes and vCluster issues, provide technical support, collaborate with engineering, and document solutions to improve the support process.

The AWS Solutions Architect will design and implement scalable AWS cloud solutions, manage migrations, optimize system performance, and ensure security compliance while providing client support and ongoing documentation.

Design, build, and scale backend solutions for user acquisition and retention. Collaborate with teams and mentor junior engineers while maintaining high code standards.

The Principal Architect will lead architecture efforts focusing on Merchandising IT functions, modernizing applications, and fostering stakeholder collaboration across global teams.

Lead a high-impact engineering team, oversee feature delivery and platform scalability, and improve technical maturity through modernization and AI tools.

Lead the design and architecture of distributed backend systems, drive cloud infrastructure on AWS and GCP, mentor engineers, and promote best practices.

The Product Manager will lead AI-driven automation initiatives, defining and delivering intelligent systems to enhance decision-making and reduce manual efforts, while ensuring compliance and governance in AI implementation.

The Sales Engineer will manage technical relationships, design AI/ML solutions, deliver demos, train customers, and provide feedback to product teams.

The role involves operating and scaling Kong's SaaS platform, building automated infrastructure, optimizing multi-region data layers, enhancing observability, and ensuring reliability across services.

The candidate will develop and implement reusable frameworks for AppOps processes, focusing on automation, integration, and operational efficiency within cloud infrastructure.

Seeking an experienced Data Engineer to design and maintain data pipelines and infrastructure, collaborating with data scientists and stakeholders.

Responsible for the design and optimization of monitoring and alerting strategies for cloud infrastructure, troubleshooting issues, and improving service performance. Provides 24/7 support for Edge Cloud products and collaborates with distributed teams.

As the Head of Platform Engineering at Rootly, you will lead infrastructure development, ensuring reliability and enhancing developer experience while driving strategy and team building.

Responsible for developing infrastructure for ML models, data pipelines, leading teams, ensuring compliance, and driving continuous improvement in data engineering practices.

The Senior Software Engineer will design, develop, and launch backend systems, support API lifecycle, and help manage team processes in a collaborative environment.

Join an engineering pod to build and ship production-quality mobile and backend features for Jerry's AI-powered car super app. Contribute to frontend and backend code, collaborate with product, and learn modern tools while growing technical skills in React/React Native, Node/TypeScript, Python, and cloud infra.

Join an engineering pod to build Jerry's AI-powered mobile app. Ship production code quickly, collaborate with product, and contribute to front-end, back-end, and infra work using modern stacks while learning from senior engineers.

As a DevOps Engineer, you will create automation for a new managed service product in AWS focusing on GitOps solutions and ArgoCD.

Develop and deploy models for the Piai claims-intelligence platform using machine learning, NLP techniques, and collaboration with various teams.

As a Software Engineer - SRE/Infrastructure, you will scale Verto's cloud infrastructure, enhance system reliability, and optimize operations to improve healthcare delivery.

The Senior Cloud Automation Engineer will create automated infrastructure management systems, oversee DevOps projects, and manage server performance in a cloud environment, primarily using Python and Powershell.

The Engineering Manager will lead a backend team focusing on user and audience data, manage cross-team initiatives, and mentor engineers. The role includes owning scalable backend systems, promoting best practices, and collaborating with stakeholders to align priorities with company goals.

Join the Brain team as a Software Engineer to design and optimize AI capabilities for digital forensic investigations, collaborating across teams for scalable solutions.