Top AWS Jobs in Toronto

As a Full Stack Software Developer, you'll design and develop scalable applications, collaborate with teams, and apply new technologies in an Agile environment.

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

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.

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.

Serve as the primary technical pre-sales lead for large enterprise accounts, defining technical strategy, driving ML/AI and data-driven adoption, building technical champions, coordinating virtual teams, and supporting sales to deliver business outcomes using big data and cloud platforms.

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.

Build and own end-to-end product capabilities across frontend and backend systems. Implement responsive React + TypeScript UIs, design and operate APIs and backend services (Python/TypeScript), deploy and run containerized apps on AWS/Kubernetes, integrate analytical data sources, use observability and CI/CD practices, and collaborate with product, design, and ML teams to ship reliable, incremental features.

Build and run web-scale data pipelines and crawlers to surface AI-generated content and hallucinations. Use detection models and LLMs to rank and classify findings, synthesize results into compelling prose, visuals, and web displays, and improve models based on investigation outcomes. Automate monitoring of social feeds and support investigative reporting workflows.

Build, operate, and improve a scalable asynchronous platform: monitor system metrics, design and deploy tooling for reliability and efficiency, automate infrastructure (IaC), participate in design and production readiness reviews, capacity planning, document operations, and join on-call rotations to respond to incidents and mitigate customer impact.

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.

Design, develop, refactor, and migrate legacy ASP.NET and backend applications using Python and C#. Build microservices, containerize with Docker/Kubernetes (EKS), deploy to AWS, ensure application security, and optimize SQL database performance while collaborating with cross-functional teams.

Design, build, and operate CI/CD, Kubernetes-based platforms, deployment automation, and observability for engineering workflows. Improve reliability, performance, and scalability across cloud and on-prem environments, debug cross-boundary failures, perform root-cause analysis, and deliver durable platform software and self-service tooling.

Build and maintain CI/CD pipelines and artifact lifecycle systems, provision and optimize cloud (AWS) CI infrastructure, troubleshoot build and pipeline issues, improve developer tooling and build/test infrastructure, support code review/workflow improvements, participate in on-call incident response, and contribute to AI tooling to boost engineering productivity.

Design, build, and operate secure, scalable cloud infrastructure and identity platforms across AWS and data centers. Implement IAM/IGA, SSO/MFA, federation protocols, secrets and key management, and Zero Trust controls. Automate with Terraform, Python, and Go, deploy on Kubernetes, participate in on-call and incident response, and collaborate with Security and Engineering to deliver secure-by-design systems.

Develop and maintain infrastructure to build, test, operate, simulate, and evaluate Cerebras software. Design scalable automation workflows for cloud and datacenter, manage CI/CD, containerized deployments, and monitor software quality and performance on the Wafer Scale Engine.

The role involves developing and maintaining web APIs and backend services using Java and Spring Boot, focusing on microservices and CI/CD in an agile environment.

Build and productionize ML systems for personalization, search, and recommendations. Apply statistical and ML models using Python and SQL, collaborate with stakeholders, and measure business impact across cloud environments.

Own QA for web and mobile releases: write and run manual and automated tests (web, mobile, API), build test frameworks, improve CI, track issues, mentor teammates, and influence requirements and quality processes.

Develop mobile-first, responsive Vue.js frontends focused on performance and UX. Build frontend management systems, participate in code reviews and team ceremonies, mentor junior engineers, and collaborate with backend teams.