Top AWS Jobs in Toronto

As a Principal Software Developer, you will lead teams to develop high-quality cloud services, design functionalities, conduct code reviews, and enhance product performance while collaborating with cross-functional teams.

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 role involves developing NLP solutions leveraging AI/ML techniques for healthcare, collaborating with various teams, and mentoring on advanced methods.

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.

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

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

Design, develop, and maintain scalable full-stack features for SOTI XSight using C#, .NET, TypeScript, and Angular. Drive architecture, integrate analytics/AI, mentor developers, troubleshoot complex issues, and collaborate with stakeholders to deliver high-quality, cloud-ready solutions.

Manage and improve Docebo's cloud infrastructure to ensure high availability, security, and scalability. Implement automation and IaC, support deployments, monitor systems with Datadog, troubleshoot issues, and lead infrastructure projects with development 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.

The QA Analyst will manage the QA process, conduct manual and automated testing, ensure product quality, and collaborate with teams in an Agile environment.

The role involves managing software development lifecycle, translating user requirements, coding, system integration, and maintaining high-quality applications using AWS and Java technologies.

Lead design and implementation of scalable Hadoop/Spark big data platforms and pipelines, optimize cluster performance, enforce data security/governance, mentor engineers, and integrate cloud-native services for analytics and near-real-time ingestion.

As a Senior Site Reliability Engineer, you'll enhance platform reliability, collaborate with engineering teams, and manage production systems while ensuring operational excellence and resilience for high-scale applications.

The MES Product Configuration Lead will drive the design and lifecycle of global MES solutions, ensuring compliance with standards and maximizing customer satisfaction, while integrating with existing business processes.

The Senior Machine Learning Engineer will develop and implement machine learning solutions, ensuring scalability, security, and adherence to best practices while collaborating with cross-functional teams.

Develop and implement AI-driven software solutions, mentor junior engineers, and evaluate new AI techniques in a collaborative environment.

The Senior Data Scientist will develop and validate marketing mix models, analyze data, automate workflows, and communicate insights to clients.

The Senior Cloud Consultant will lead cloud modernization initiatives, align business and IT strategies, design cloud architectures, and advise clients on cloud operating models and governance while ensuring successful execution of transformation programs.

The Senior AWS Support Engineer will manage complex AWS cases, mentor junior engineers, troubleshoot issues, improve support processes, and create documentation.

As Principal Engineer, AI, you will lead the design and development of AI systems, mentor a distributed team, and ensure alignment with business objectives, focusing on content and editorial workflows.

Design and build full‑stack, agent‑first web applications and scalable cloud-native APIs; partner with AI Engineers to integrate models and data flows; lead architecture, mentor engineers, rapidly prototype AI interaction models, and drive cross-functional delivery.

Lead design and delivery of enterprise-scale AI systems (including RAG and multi-agent architectures), drive AI strategy and POCs, embed solutions with business units, mentor engineers, establish MLOps/LLMOps practices, and scale prototypes into production.

The Java Developer will implement software solutions for risk management, write efficient code, and assist with system analysis and enhancements.

Develop solutions for risk management systems, write clean code, and assist in enhancing systems while supporting production issues for the Credit Risk Technology team.