Top AWS Jobs in Toronto

Design, build, and productionize cloud-native AI applications and agentic workflows. Develop APIs, microservices, and scalable inference systems; integrate AI frameworks and vector/LLM pipelines; implement IaC, CI/CD, and observability; ensure security, governance, and responsible AI while collaborating across product and engineering teams.

Lead and build a Toronto-based Managed Gateways SRE team, stay hands-on early, architect and operate cloud-native, highly available gateway systems, own incident response, SLOs/SLIs, automation, and cross-functional readiness to ensure 99.99%+ uptime for enterprise customers.

Lead and grow a software team (up to ~10), run Agile processes, set targets, partner on hiring and roadmaps, remove blockers, manage technical debt, and ensure timely, high-quality delivery.

Lead product vision, roadmap, and delivery for AI and analytics across the Intelex platform. Conduct customer discovery, define PRDs and success metrics, partner with engineering and design, manage end-to-end launches, instrument and monitor feature adoption and quality, enable go-to-market teams, and ensure AI governance, explainability, and compliance for enterprise EHSQ use cases.

Develop, maintain, and monitor actuarial predictive models using statistical and machine learning techniques; collaborate with pricing, data science, and ML teams; implement end-to-end model pipelines; ensure model governance and compliance; communicate findings to stakeholders and manage multiple modeling projects with technical documentation.

The role involves leading resilience architecture, ensuring scalability and reliability of systems, guiding modernization efforts, and collaborating with teams to enhance operational workflows and performance metrics.

Lead end-to-end AI-first transformation for operations: define problems, design architecture, build agentic systems and automation pipelines, integrate with CRMs and operational tooling, ship production solutions and drive company-wide AI adoption.

Lead and manage full software development lifecycle for front- and back-end platforms. Design architecture, optimize performance and scalability, oversee deployments, testing, maintenance, and cross-platform compatibility. Mentor and grow development teams, coordinate with stakeholders, enforce risk and compliance practices, and drive continuous improvement while fostering inclusion and collaboration across functions.

Lead analytics-driven growth for Wealth Management by developing targeting, measurement, and campaign frameworks. Translate data and AI-enabled insights into scalable programs, optimize journeys and channels, and partner with cross-functional leaders. Build and lead a team, ensure data governance, enable self-serve reporting, and present performance to senior leadership to drive revenue and continuous improvement.

Lead design of secure, scalable enterprise infrastructure and integration solutions for financial services. Collaborate with French- and English-speaking stakeholders to translate requirements, define cloud/hybrid architectures, ensure compliance (PSD2, GDPR), optimize performance and costs, manage vendors, and maintain architecture documentation and roadmaps.

Develop and maintain backend and web application features, fix defects, write tests and API documentation, follow SDLC and agile practices, collaborate in code reviews, and learn from mentorship to solve business problems.

The Principal Software Engineer at Snout will define architectural direction, build features across the stack, and enhance team effectiveness, ensuring quality and performance.

As a Senior Software Engineer, you'll develop and enhance the Snout web platform, collaborate with teams, and lead technical projects while ensuring performance and reliability.

The role involves building and scaling growth engineering products, balancing quality and speed effectively, and influencing product direction and AI-driven growth solutions.

Build and operate Airbnb's global cloud networking infrastructure including service mesh, cross-region gateways, load balancers, and edge security. Work with open-source communities (k8s, Istio), design multi-region cloud network architectures, develop operational tooling, and collaborate with product, engineering, and security teams to optimize network performance and reliability.

As a Software Engineering Manager at Thanx, you'll cultivate a high-performance culture, oversee team delivery, drive innovation, and mentor technical talent.

The QA Analyst will conduct comprehensive testing of software applications, perform test execution, collaborate with developers, and support continuous testing practices.

The role involves designing and developing high-performance web apps, improving user interfaces, maintaining component libraries, and ensuring code quality through comprehensive testing and collaboration with other teams.

The Senior Software Engineer, Backend is responsible for building APIs, ensuring system reliability, scalability, and contributing to company-building initiatives.

The role involves designing scalable data pipelines for 3D, video, and sensor data, optimizing infrastructure, and productionizing ML models with researchers.

The Staff Engineer will develop an engineering cost-management platform, optimize cloud and vendor spend, and implement cost models for better financial visibility within the engineering department.

As an ML Engineer at Luma AI, you will design high-performance model serving pipelines, manage GPU resources, and optimize CI/CD for large-scale AI systems.

As a Software Engineer in Reliability, you'll architect and manage multi-cloud GPU infrastructure, ensuring performance, security, and scale while debugging complex hardware/software issues.

The Senior Infrastructure Engineer will design and implement a high-reliability, high-throughput advertising platform, focusing on infrastructure, technical leadership, and incident response management.

Lead and mentor a team of Forward Deployed Engineers to deploy Cohere's North platform into private cloud and on-premises environments. Own technical delivery and customer success, collaborate with Product/Engineering/Sales, optimize K8s services (OpenSearch, databases), define GPU/CPU scaling, and build scalable processes and tooling.