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.

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

Build and maintain cloud-native services, APIs, and platform capabilities. Design, implement, test, and troubleshoot scalable SaaS/backend systems. Collaborate with product, UX, and engineering teams, participate in code reviews, agile delivery, and continuous learning.

Build and deliver education-focused product experiences across backend services, integrations, automation, experimentation, and light frontend. Implement APIs, containerized deployments, CI/CD, and integrate ML/AI solutions; write well-tested production code, maintain observability, and collaborate with cross-functional teams to take features from prototype to production.

Build and lead a new Canada-based engineering team to deliver agentic AI features for the Viewer MCP. Hire ML/software engineers, define technical strategy and roadmap, ensure delivery quality (CI/CD, testing, observability), embed AI evaluation and responsible-AI practices, and partner across product, UX, and platform teams to productionize ML services.

Design, build, and maintain scalable cloud-native services, APIs, and platform components. Contribute to architecture, CI/CD, observability, and operational support. Mentor junior engineers, collaborate with product and UX, and help evolve AI-powered and SaaS platform capabilities to enable cross-product automation and developer productivity.

Design, build, test, deploy, and maintain scalable full‑stack web applications. Create responsive React frontends and Java/Spring Boot backend services on AWS. Develop RESTful APIs, database integrations, automated tests, CI/CD pipelines, and monitor performance. Collaborate with product, design, and architecture teams, participate in code reviews, write technical designs, mentor junior engineers, and apply secure, accessible, and performant engineering practices.

Lead design and delivery of the integrations platform supporting 250+ integrations. Build APIs, integrations, tooling, and observability; engage customers; optimize performance and scalability; set architectural direction and best practices.

Design, build, and maintain CI/CD pipelines, developer platform tooling, and IaC for a large Nx monorepo. Improve release safety, observability, and reliability; support Kubernetes deployments, GitOps flows, and platform security; coach teams on DevOps best practices and developer experience.

Lead and manage a team of technical support professionals delivering AWS support, driving operational excellence and enhancing customer satisfaction through AI and data-driven strategies.

As an AI/ML DevOps Engineer, you will operationalize AI solutions, build CI/CD pipelines, and ensure production system reliability. Collaborate with data scientists and engineers to deliver AI capabilities and maintain strong operational practices.

Senior backend engineer responsible for building and owning APIs and partner integrations, optimizing database and service performance, debugging production issues using observability (logs, metrics, traces), mentoring engineers, and guiding architecture and scalability decisions while shipping reliable Python/Django services.

Join a cross-functional team to develop data products, write efficient code, influence AI roadmap, and collaborate with diverse professionals.

The role involves designing and developing front-end and back-end components, mentoring team members, ensuring system efficiency, and optimizing platform performance in a collaborative team environment.

Design, implement, and maintain high-performance SBT Content microservices for P&C insurance. Collaborate in agile teams, apply AI-assisted coding, ensure test coverage, CI/CD, observability, and scalable cloud deployments.

Develop and execute test plans and automated testing, mentor junior QA engineers, and ensure software meets quality standards and customer requirements.

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

Lead design and implementation of scalable backend services and frontend features across a polyglot stack. Drive architecture, API design, testing, CI/CD, observability, and operational excellence. Use AI tools extensively to generate, test, debug, and document code. Mentor engineers, conduct reviews, participate in on-call rotations, and collaborate cross-functionally to deliver reliable, high-performance dealer-facing SaaS solutions on AWS.

Lead rapid concept-to-production work using AI design tools and modern full-stack frameworks. Build accessible, performant frontends and robust backends, implement APIs, auth, caching, and databases, and collaborate with designers and AI builders to maintain design systems and deliver production-ready applications.

Full‑stack developer building front-end web apps and back-end services, using AI-assisted and agentic tools. Implement RESTful APIs, write tests and metrics, monitor platform performance, collaborate with product/support, perform code reviews, and apply SDLC and security best practices.

Lead the Cloud Operations team to design, deploy, secure, monitor, and maintain reliable cloud environments (Azure/AWS). Manage production deployments, CI/CD/IaC, APM, SOC2 compliance, incident handling, automation, and process improvement while mentoring staff and collaborating with R&D and leadership.

Lead and modernize enterprise technical support as a player-coach: manage executive escalations, operational processes, KPIs/SLAs, budgeting, AI/automation initiatives, and a 20+ person technical team while maintaining technical depth across hardware, software, POS, networking and cloud.

Operate, monitor, and optimize large-scale AI compute clusters built on the Wafer-Scale Engine. Develop and own software for cluster operations (monitoring, automation, APIs, dashboards), deploy and debug Docker-based services, troubleshoot distributed systems, maximize compute capacity, and participate in a 24/7 on-call rotation while collaborating cross-functionally to improve operational visibility and reliability.