Top AWS Jobs in Toronto

Lead strategic architecture for front-office investment technology and data solutions, advising on platform selection and implementation (Aladdin, Charles River, Bloomberg, etc.), guiding data architecture, governance and quality, managing small-to-medium implementation teams, and ensuring delivery across portfolio management, trading, and reporting domains.

Lead the design and development of scalable backend systems and APIs for intelligent applications while guiding teams and ensuring clean architecture.

Lead end-to-end full-stack engineering initiatives for Project Simulation and Asset Operations. Build scalable frontend and backend systems, ensure code quality, collaborate cross-functionally, debug production issues, and participate in on-call rotation.

Lead end-to-end engineering initiatives for customer-facing features in a fast-paced startup. Build and maintain backend and frontend systems, design and evolve GraphQL APIs, debug production issues, participate in on-call rotation, and collaborate cross-functionally with product, policy, and commercial teams to deliver high-quality, scalable software for battery asset operations and project simulation.

Build and maintain platform and infrastructure systems across the stack: cloud infrastructure, IaC, CI/CD, queues, observability, auth, and developer experience to improve reliability and developer velocity.

The role involves designing, building, and deploying machine learning models, collaborating with teams to address business problems, and mentoring other data scientists.

Maintain availability, monitoring, and incident response for BeyondTrust Cloud Service. Troubleshoot distributed systems, implement fixes and preventive measures, collaborate across teams to meet SLAs, document work, follow risk/compliance, and drive automation and continuous improvement.

Design and develop scalable, secure frontend web applications for connected embedded systems. Lead frontend architecture, collaborate with backend/embedded teams, implement device provisioning, telemetry visualization, and remote management UIs. Optimize performance, accessibility, and maintainability; mentor engineers, participate in reviews, and drive frontend best practices.

Lead cloud infrastructure monitoring, automate operations, and design AI-driven predictive monitoring and automated incident response. Manage CI/CD pipelines, enforce cloud security/compliance, build monitoring/logging/alerting systems, perform incident triage and collaborate with development teams to optimize cloud resources.

As a backend engineer, you will design and develop healthcare APIs, leverage AWS services, and enhance existing systems while ensuring high-quality standards.

The Infrastructure Engineer will design and implement advanced cloud infrastructure, manage Kubernetes, establish engineering standards, and support IoT deployments in manufacturing environments while driving automation and mentoring teammates.

Develop high-quality software products, maintain unit tests, ensure code security, mentor junior engineers, participate in agile methodologies, and collaborate with customers and stakeholders.

We are seeking a software engineer to build and validate resilient distributed systems, enhance CI pipelines, and improve testing strategies for cloud applications.

The Senior Forward Deployed Engineer manages client relationships, architecting, building, and closing deals while ensuring autonomous delivery of AI solutions. Responsibilities include discovery, architecture reviews, and capability transfer to clients, requiring significant engineering and client-facing experience.

The role involves back-end development using .NET Core and SQL, contributing to Jibble 2.0 API integrations, and collaborating with product and design teams.

The Guidewire Data Engineer will design schemas in Snowflake, develop ETL processes, optimize SQL queries, and integrate Guidewire with data platforms.

The Technical Lead leads development teams, ensuring project success by translating client requirements into applications, managing technical delivery, and adhering to best practices in software engineering and DevOps.

As an Infrastructure Intern, you will support platform engineering and cloud infrastructure projects, working with experienced engineers on AI systems, Kubernetes, and automation tools, contributing to production-impacting initiatives.

The Principal Engineer will architect and own the Shop Builder platform, defining APIs, developing tools for developers and AI agents, and ensuring the platform's technical standards and documentation are met.

Lead a team to deliver tools and API solutions for the Shop Builder platform. Coordinate cross-team dependencies and maintain engineering standards while actively contributing code and driving technical decisions.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

Design, deploy, and operate large-scale workflow orchestration platforms (Argo/Airflow/hybrid) for simulation, ML training, data pipelines and CI/CD. Build SDKs, abstractions, and self-service tooling; ensure reliability, observability, cost-efficiency, GPU and cross-cluster scheduling on Kubernetes across cloud and on-prem; integrate with storage, streaming, registries, and CI/CD; document best practices and mentor engineers.

Partner with Account Executives to drive new commercial deals by leading technical discovery, solution architecture, demos, and POCs. Serve as trusted advisor across stakeholders, co-own pipeline and quota outcomes, produce enablement assets, and provide product and GTM feedback. Focus on networking, zero-trust, IAM, PAM, and cloud architecture.

Build and maintain full‑stack, AI-enabled healthcare applications. Implement frontend interfaces (React/Next.js), backend services and REST APIs (Node.js/Python), integrate AI/LLM features, use relational databases, deploy to cloud (AWS/GCP/Azure), write tests, participate in code reviews, troubleshoot production, and improve system performance, reliability, and security.

Serve as a senior technical leader for strategic customers, driving container and AI adoption across pre- and post-sales. Lead prototyping, create custom demos/content, coordinate field feedback with product and engineering, deliver enablement to technical and executive audiences, and represent Docker in customer and partner engagements (up to 50% travel).