Top AWS Jobs in Toronto

Build enterprise applications as a Senior Software Developer, focusing on full stack development within an Agile team using various technologies.

The Cloud and DevOps Developer will provide cloud infrastructure builds, implement DevOps best practices, and participate in Agile project delivery.

As a QA Engineer, you'll develop test plans, execute test cases, write automated tests, and enhance project quality in collaboration with a cross-functional team.

As a Full Stack Software Developer, you'll design and develop enterprise applications, collaborate in Agile teams, and work with various technologies.

The Sr. Quality Assurance Engineer will develop test plans, execute test cases, automated tests, and ensure project quality in an Agile environment.

Design and develop scalable applications in an Agile team, collaborating closely on features while learning and applying new technologies.

The Cloud and DevOps Developer will implement DevOps best practices, design cloud solutions, collaborate with teams, and manage infrastructure projects.

Design, develop, and optimize big data solutions using Databricks, Apache Spark, and cloud platforms. Collaborate with teams to ensure high-performance data architectures.

As a Solution Architect for Financial Services, you will lead secure and compliant architecture initiatives, engaging with senior management to design modern financial systems and integrate solutions across various platforms.

The Mission Engineer bridges communications physics and software orchestration, integrating and optimizing system models and software for wireless networks, diagnosing issues in live environments.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

The Senior Back-End Software Engineer designs, develops, and maintains scalable backend systems while taking ownership of the software development lifecycle.

The Forward Deployed Engineer integrates Spellbook into legal workflows, managing enterprise deployments, building AI-native solutions, and enhancing user experience based on feedback.

Lead design and delivery of scalable backend features, mentor engineers, ensure operational excellence and system reliability, collaborate cross-functionally, and drive architecture and automation improvements.

The Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.

The Senior Site Reliability Engineer will lead service onboarding, maintain SLAs/SLOs, design secure infrastructure, automate operational tasks, and respond to incidents while ensuring system reliability and performance.

Lead technical design, architecture, and delivery of backend and platform services for AI agent workflows. Own cloud infrastructure, IaC, CI/CD, Kubernetes/EKS, and managed AI runtimes. Improve reliability, observability, performance, and cost efficiency; mentor engineers; drive cross-functional initiatives and participate in on-call support.

Design and build scalable, high-performance web applications using Next.js, React, Vue.js, and TypeScript. Own end-to-end feature development, create reusable UI components, optimize performance (SSR/SSG, lazy loading, Core Web Vitals), ensure accessibility and security, support CI/CD and deployments, conduct automated testing, mentor junior engineers, and collaborate with Product, Design, Backend, and DevOps to define and deliver front-end architecture and features.

Design, build, and operate high-performance distributed inference systems that route requests, autoscale compute across accelerators, deploy new models, integrate new hardware, and tune performance for millions of users while enabling research workflows.

Lead definition and execution of a company-wide experimentation and measurement platform. Build and scale centralized experimentation infrastructure (Eppo), integrate with the data ecosystem, establish governance, tooling, lifecycle management, measurement standards, and partner with Product, Data Science, Analytics, and Strategy to drive rigorous experiment-driven decision-making.

Own and automate the end-to-end ML lifecycle: build, deploy, monitor, test, and retire models at scale. Design production-grade, highly available ML infrastructure and CI/CD pipelines, implement governance, and collaborate with engineering and security teams.

Serve as the technical lead for strategic customers: onboard, train, troubleshoot, and drive adoption of Tailscale. Build relationships, conduct QBRs, recommend best practices, escalate product feedback, and maintain customer-facing documentation to enable long-term success and expansion.

Build, operate, and scale cloud-native backend services and APIs for a high-volume vehicle marketplace. Embed AI-driven capabilities into features, use AI tools to accelerate development, participate in on-call rotations, improve reliability, and collaborate with Product, Data, Infrastructure, and SRE teams to deliver production-ready systems.

Own and evolve cloud infrastructure across AWS/GCP/Azure, build CI/CD and containerized deployments, design multi-tenant environments, implement monitoring and IaC (Terraform/Ansible), lead data protection and threat detection, and support compliance and security audits.

Design and drive security architecture for applications, services, and infrastructure. Partner with engineering and DevOps on secure backend design, cloud and container security, CI/CD hardening, and access controls. Conduct threat modeling, risk assessments, and security reviews; integrate security tooling; enforce secure coding practices; mentor engineers; and stay current on fintech and blockchain threats and compliance standards.