Top AWS Jobs in Toronto

Develop and deploy generative AI and LLM solutions end-to-end for e-commerce: research models, build ETL/data pipelines, run distributed training and experiments, collaborate with product and engineering to deliver production systems that improve recommendations, search, personalization, and customer interactions.

Build reusable client-side JavaScript/CSS SDKs and multi-tenant frontend architecture. Develop high-performance React/Next.js applications with Tailwind CSS, implement SSR/SSG/ISR, integrate with REST/GraphQL backends, optimize performance, and support backend data modeling, cloud deployment (AWS/GCP), CI/CD, and production monitoring.

Lead design, build, and deployment of production-grade Databricks data platforms across AWS/Azure. Architect scalable ETL/ELT pipelines with Spark/PySpark, manage Delta Lake and Unity Catalog, implement CI/CD and IaC, provide client-facing technical leadership, and mentor engineering teams.

Build and productionize LLM-powered and agentic AI systems (RAG, fine-tuning, prompt engineering) and web app integrations. Lead design, set best practices, monitor and iterate on performance, mentor engineers, and partner with business and governance to deliver scalable, reusable AI solutions in cloud environments.

Lead administration and maintenance of data center, network, server, and cloud IaaS infrastructure (Windows and Linux). Perform upgrades, patches, backups, DR planning and testing. Act as Tier 2/3 escalation, provide after-hours support, monitor security events, manage identity/access, SAN/cloud storage, and messaging systems. Drive improvements, document processes, mentor junior staff, and support Azure/AWS/VMware virtualization and cloud networking.

Participate in application systems analysis and development, design and implement enhancements, test and debug, identify security vulnerabilities, support cloud-native and microservices solutions, consult with stakeholders, mentor junior analysts, and contribute to CI/CD and containerized deployments.

Owner of cloud infrastructure and reliability for a distributed microservices platform: design and maintain Azure infrastructure with Terraform, manage Kubernetes/Helm deployments, build CI/CD pipelines and observability, operate PostgreSQL at scale, lead incident response and postmortems, and support migration from legacy .NET/MSSQL to a cloud-native stack.

Design and build scalable full-stack web applications and APIs, drive architecture across frontend and backend, partner with product and design, mentor engineers, improve developer productivity with tooling and AI-assisted workflows, and migrate legacy systems into modern platforms.

Drive technology strategy and architecture across the product portfolio, delivering scalable, secure cloud-native SaaS and endpoint solutions. Champion AI-driven approaches, lead design reviews and PoCs, provide technical leadership, collaborate with product and business stakeholders, and support production systems including on-call troubleshooting and root cause analysis.

Design, build, train, and deploy production ML models and scalable pipelines. Implement MLOps practices, observability, governance, and lineage. Optimize model performance and costs, collaborate with product, risk, and engineering teams to integrate ML features into production systems.

Lead and grow a remote AI engineering organization, manage ~30 forward-deployed engineers, maintain technical standards for agentic full‑stack applications, review architectures, run performance management and hiring, support client engagements, and drive team enablement, evaluation harnesses, and MLOps practices.

Lead technical direction for agentic AI platforms across AWS/Azure: design architectures, establish standards and governance, ensure secure scalable cloud-native integrations, guide engineering teams, and operationalize AI solutions within a regulated enterprise.

Develop, review, and maintain full-stack .NET web applications across the FacilityOS platform. Participate in code reviews, use static analysis tools, troubleshoot staging/production issues, collaborate with engineering and project managers, and research platform improvements.

The Customer Engineer will bridge technical challenges and client needs through full-stack development, enhancing customer experiences and delivering innovative solutions.

The System Architect will oversee architectural services for Oracle Commerce Hosting, develop strategies for deployment automation, mentor junior members, and represent the organization in community forums.

Coordinate technical work in the team, ensure timely project delivery, and manage cloud server environments including AWS, Azure, and Openstack.

The role involves designing and implementing identity solutions in a cloud environment, focusing on automations for a managed service product, particularly utilizing AWS and identity technologies.

As a Software Engineering Consultant, you will design, build and own the lifecycle of scalable software systems while collaborating with clients in various technical domains.

Lead evaluation, selection, implementation, and lifecycle management of enterprise applications with a focus on AI-driven automation and AIOps. Design and deploy LLM-based workflows, AI agents, observability and predictive monitoring, perform health checks and upgrades, troubleshoot cross-team incidents, define technical roadmaps, and mentor IT Applications team members while creating SOPs and documentation.

As a Staff Backend Engineer, you'll design and evolve backend services, architect data models, mentor engineers, and influence architecture and product direction to enhance enterprise-grade performance.

As a Staff Backend Engineer, you will develop complex backend solutions, focusing on the Spark-based data platform while ensuring code quality and collaborating closely with teams.

Design and build scalable full-stack web applications and APIs, drive architecture across frontend and backend, partner with product and design, mentor engineers, improve developer productivity via tooling and AI-assisted workflows, and migrate legacy systems to modern platforms.

Senior Windows-focused Platform Engineer responsible for administering Windows server environments, supporting IBM FileNet/DataCap/BAW/ICN applications, ensuring security and performance, implementing monitoring, troubleshooting production issues, documenting systems, and collaborating with internal teams and clients to improve platform stability and processes.

Own and patch Chromium/Firefox C++ source to build an in-house stealth browser. Fix fingerprinting at the engine level (navigator, WebGL, canvas, fonts, Client Hints), eliminate CDP leaks, maintain per-OS fingerprint profiles, continuously rebase patches, build validation tooling, and debug detection issues to keep automation indistinguishable from real users.

The GPU Cloud Platform Engineer designs and operates multi-cluster GPU infrastructures for AI workloads, ensuring performance and efficiency across cloud environments.