Top AWS Jobs in Toronto

Build and ship LLM-powered features and agentic workflows for a financial platform. Own data pipelines, retrieval architectures, context design, and MLOps to move models from prototype to production. Collaborate with domain experts, evaluate experiments, and contribute to AI Lab tooling and practices.

Lead application infrastructure modernization including cloud migrations, container platform administration (OpenShift/Kubernetes/Docker), CI/CD and IaC automation, and development of AI-driven automation. Provide systems analysis, design, implementation, and user support while advising stakeholders and ensuring security and compliance.

The role involves designing, developing, and maintaining scalable backend services using Java and modern technologies, focusing on microservices architecture, TDD, and collaboration with teams.

Develop and maintain customer-facing product surfaces and backend systems using strong Rust expertise. Own features end-to-end from design through production support, improve reliability and CI/CD, write and expand tests, review RFCs, collaborate with cross-functional teams, and responsibly apply AI-assisted tools to accelerate development while ensuring safety and quality.

Lead design and implementation of scalable APIs and agent communication layers for an AI-agent driven advertising marketplace. Build high-throughput backend systems, integrate agent frameworks and adtech partners, drive architecture for authentication and protocols, mentor engineers, and prototype agent communication patterns while collaborating with product and design.

Ownership of platform reliability and incident response across cloud infrastructure. Improve observability, CI/CD pipelines, deployments, developer experience, and operational tooling. Act as primary on-call platform expert, collaborate with product teams, and run postmortems to raise platform reliability.

Senior individual contributor who architects, prototypes, and ships production-grade AI solutions for Finance. Focus areas include agentic AI, multi-agent orchestration, ML forecasting and anomaly detection, RAG and vector-store solutions, responsible AI and governance, and embedding AI into FP&A processes. Partners with engineering, IT, security, and finance teams to productionize systems and establish standards, monitoring, and controls.

Use diverse data sources to evaluate product performance, build automated ETL/data workflows, design dashboards and KPIs, own data product quality, and provide analytical insights to guide product and business decisions while establishing monitoring frameworks and best practices.

Lead technical pre-sales strategy and advanced product demonstrations for enterprise cybersecurity and cloud customers. Mentor SEs, design solution architectures, shape POCs and product feedback, drive process improvements, and support executive-level customer engagements to close strategic deals.

Lead and grow two Merchants engineering teams (Core and Growth). Own technical direction, architecture (billing, checkout, delivery promise), hiring, roadmap, sprint health, and cross-functional partnerships to deliver reliable merchant-facing product features.

Lead backend development and integrations for enterprise Shopify migrations. Design and implement secure, reliable integrations (PHP/Laravel or Node), optimize databases and queues, build CI/CD pipelines, manage client communication, mentor teammates, and drive project technical estimates and delivery.

Lead architecture and delivery of scalable AI systems for P&C insurance, oversee fraud prevention platform from data to production, mentor AI engineers, collaborate with business stakeholders, prototype novel AI techniques (LLMs, GNNs, CV), and drive cloud deployments and responsible AI practices.

Define scalable, secure frontend architectures for web, mobile, and AI-enabled customer and broker channels. Partner with product, engineering, and architecture teams to reduce technical debt, guide implementation, ensure security/compliance, mentor engineers, evaluate emerging technologies, and support modernization roadmaps and delivery decisions.

Lead design and implementation of scalable, secure Forma Data cloud services. Act as technical lead across full software lifecycle, write and operate cloud services, mentor engineers, solve complex distributed-system problems, and collaborate globally to integrate SaaS products with Autodesk tools.

Lead design and rewrites to build a scalable, resilient backend and cloud infrastructure. Own data storage performance, CI/CD pipelines, IaC, observability, incident response, and analytics. Mentor engineers, support customer onboarding and integrations, and drive reliability and scalability for AI-first products.

Lead end-to-end development and production deployment of agentic AI systems and full-stack products. Architect integrations with property management systems, improve reliability and observability, define engineering standards, and partner with product and operations to ship scalable AI agents across voice, text, and email.

Lead architecture and rewrites for a scalable, resilient AI-first platform. Own backend systems, data storage performance, deployment pipelines, cloud infrastructure via IaC, observability, incident response, and analytics. Mentor engineers and enable rapid customer onboarding and AI-driven automation.

Design, architect, and implement new features for the Spellbook application while collaborating with product management and improving existing functionalities using AI technologies.

The role requires designing and developing web applications and backend systems, integrating LLMs, and ensuring quality software delivery.

Lead the architecture and development of enterprise software tools, focusing on secure cloud systems, Node.js applications, and AI integrations while ensuring quality and reliability.

The Software Engineer will develop backend systems for an AI Energy Agent, including data integration, microservices, and scalable architecture, focusing on performance and reliability.

The Founding Software Engineer will build and enhance crisis-intervention software, focusing on mobile and web applications for government welfare, ensuring compliance and integrating data securely. Responsibilities include feature development, security enhancements, and managing interns.

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