Top AWS Jobs in Toronto

Design and deliver end-to-end marketing measurement and testing: data extraction, modeling, analysis, and visualization. Prioritize and route requests, translate business needs into technical requirements, mentor junior analysts, improve measurement standards, and drive actionable insights for retail and brand partners.

Design, build, test, and deploy scalable full-stack web applications using Java/Spring and modern JavaScript. Develop backend services/APIs, optimize database queries, support CI/CD and automated testing, participate in code reviews, and mentor junior developers while collaborating with cross-functional teams.

The Senior Technical Consultant will implement and integrate Blue Yonder WMS solutions, develop technical concepts, ensure system integration, and enhance platform functionality based on customer feedback.

The Senior Software Engineer II will design and build backend features, evolve AI-native workflows, and enhance the payment infrastructure while collaborating closely with product teams to deliver high-quality solutions.

Seeking Data Platform Engineers to design, build, and manage scalable data pipelines and analytic query engines while ensuring data integrity and performance optimization.

As a Backend Software Engineer, you'll develop critical backend systems focusing on APIs, data processing, and infrastructure while ensuring high-quality service delivery and robust architecture.

As a Senior Full Stack Software Engineer at Doxel, you will design and develop applications for project management, focusing on complex data handling and intuitive UI. Your role involves collaborating across teams and providing technical leadership in software projects.

Lead a senior engineering team building Twilio's low-latency, high-throughput media processing stack. Define architecture, ensure reliability and performance under strict SLOs, mentor engineers, balance technical debt and features, own service metrics, and align media platform capabilities with the broader Voice strategy.

Lead design and delivery of full-stack imaging features, architect high-performance ASP.NET Core services, build Vue frontends, integrate APIs with EMRs and imaging partners, mentor engineers, enforce automated testing, CI/CD and observability, and drive technical roadmap in an Agile team.

Lead end-to-end feature development across diverse web stacks with a front-end emphasis, modernizing legacy SaaS applications while ensuring stability, test coverage, and secure deployments. Champion AI-augmented development practices and agentic coding tools to accelerate delivery, mentor engineers, and communicate progress to leadership.

Senior front-end–leaning full-stack developer to own end-to-end feature delivery across diverse SaaS stacks. Use AI-augmented development tools to accelerate builds, modernize legacy systems, ensure test coverage and safe deployments, mentor junior engineers, and communicate progress to leadership while delivering polished, user-focused UI/UX.

Lead end-to-end feature development and modernization across diverse SaaS stacks, using AI-augmented tooling to accelerate delivery. Maintain legacy production stability, establish testing and secure deployment workflows, and mentor junior engineers while partnering with business stakeholders.

Lead end-to-end AI solutions as a forward-deployed engineer: scope, design, and deploy ML/LLM systems; partner with clients and stakeholders; build infrastructure, data pipelines, and reusable platform components; mentor engineers; own projects from discovery through production and provide on-call support.

The Connector Software Engineer will design, develop, and maintain software connectors for API and database integrations, focusing on data security and interoperability in enterprise systems.

As an IT Systems Engineer, you'll manage user and device lifecycles, enhance endpoint security, and automate IT workflows, ensuring compliance and improving reliability in a remote tech environment.

As a Senior Deployment Engineer, you'll manage the deployment lifecycle of Atolio's enterprise search platform in diverse environments, ensuring scalability and security while collaborating with internal and client teams.

The Senior Machine Learning Engineer will design, train, and deploy ML models for optimizing revenue in advertising, taking ownership of product development and leading the ML discipline.

Lead the development of device intelligence and fingerprinting systems by designing backend services, collaborating on integrations, and applying advanced machine learning algorithms to enhance security and combat fraud.

Join Hive to build and improve a marketing platform, focus on developing and shipping software, optimize system performance, and collaborate with teams.

The Staff Software Engineer role involves leading projects, coordinating engineers, improving processes, and representing PayPal to external partners, focusing on cloud and DevOps responsibilities.

Design, build, and maintain automation and testing infrastructure for the North platform: CI/CD pipelines, GitHub workflows, containerized test environments (Docker/Kubernetes), Helm and ArgoCD deployments, infrastructure-as-code, benchmarking, parallel test execution, and cross-team standards to improve test coverage, reliability, and deployment confidence.

Develop and maintain scalable, reliable back-end systems and APIs, write maintainable code, and collaborate with global teams in a hybrid work environment.

The Software Engineering Lead will design and maintain enterprise software applications, develop APIs, and build back-end systems, ensuring quality and best practices.

Lead design and implementation of a zero-to-one, real-time collaborative web content platform. Own architecture, build backend sync and delivery services, craft low-latency frontend editing experiences, define engineering standards, evaluate third-party tradeoffs, and mentor engineers while partnering with product and design.

Design, build, and optimize scalable AI-enabled application features and services. Integrate ML models and generative AI, ensure secure and test-driven implementations, troubleshoot AI performance, mentor engineers, and drive AI architecture, CI/CD, and best practices across teams.