Top AWS Jobs in Toronto

As a Senior Platform Engineer, you will enhance the developer experience by building AI platforms, managing infrastructure, and collaborating across teams to improve software delivery.

The Engineering Manager will lead the development of a scalable Search Platform, mentor teams, manage business outcomes, and enhance engineering efficiency while ensuring high-quality software delivery.

Design, implement, and troubleshoot scalable backend services and APIs while developing responsive user interfaces. Analyze requirements and collaborate across teams for planning and execution.

The Principal Software Engineer will lead the integration of AI with a focus on developing data orchestration solutions, modernizing legacy systems, and enhancing web infrastructure for optimal performance.

As a Staff Software Engineer, you will define technical vision, lead backend systems architecture, mentor engineers, and drive scalable solutions.

Lead the vision and strategy for the R&D Decision Fabric, developing agentic workflows and fostering adoption of AI-powered decision support across R&D teams.

The Senior Software Engineer will develop software by writing clean, efficient code, automate tasks, and collaborate with teams to enhance products, emphasizing TDD and API development.

The Senior Software Engineer will develop and maintain software solutions, write efficient code, perform testing, and collaborate with teams to enhance product performance.

Manage AI compute clusters, monitor systems health, optimize resources, and troubleshoot technical issues, ensuring high performance for ML applications.

As a Principal Software Engineer, you will design distributed systems, enhance product automation, and develop software solutions within a collaborative global team to address complex business challenges in finance.

Lead applications systems analysis and programming activities, partnering with management to implement system enhancements and ensure compliance with industry standards. Provide expertise in applications programming and serve as an advisor to mid-level developers, while managing high-impact projects and delivering innovative solutions.

Seeking a Senior Data Engineer to develop and maintain data pipelines, collaborating with data science teams to deliver accurate data for business insights.

Design, build, and scale data-driven platforms and systems, focusing on backend and frontend engineering, integrations, and AI capabilities.

As a PostgreSQL Database Support Engineer, you'll assist DBA teams with troubleshooting, create knowledge base articles, and author community blogs while focusing on performance tuning and high availability solutions.

The Senior Software Engineer will deliver software solutions for the Data Infrastructure team, owning project components and enhancing team capabilities while collaborating across functions.

The Technical Business Systems Analyst will bridge business and technology by gathering requirements, designing APIs, automation workflows, and system integrations, while ensuring delivery aligns with client needs.

The AI Architect will design, code, and deploy hands-on AI solutions, leveraging AWS and Agentic AI patterns while leading technical team growth.

Lead the architectural strategy for scalable and secure technology solutions, oversee development of systems using Java, Spring Boot, Node.js, and React, and enforce coding and DevOps standards.

The AI Solutions Architect leads AI integration, designs scalable solutions, defines architecture strategies, collaborates with stakeholders, and enforces governance across AI projects.

Lead a systems engineering team to design, deploy, and operate scalable AWS infrastructure. Author infrastructure-as-code, improve observability and automation, mentor engineers, partner with product teams on security, reliability, and performance, and hire top talent to support global SaaS capabilities.

The Principal will manage accounts, oversee cloud transformations, maintain customer relationships, and ensure project success. They will advocate for customers internally and manage financial performance.

The Lead Data Scientist designs and implements data-driven solutions, leads a team, collaborates with cross-functional teams, and mentors junior scientists while staying updated with industry advancements.

The Machine Learning Engineer / Data Scientist will build and deploy machine learning solutions, working through the ML lifecycle from problem framing to production.

Lead development of web tools for autonomous driving, mentor engineers, and collaborate on technical architecture, focusing on responsive applications and cloud infrastructure.

Lead multiple engineering teams for Advanced Product Designer. Drive architecture, delivery, and operational maturity of APD, ensuring scalable and secure services. Champion AI practices and integrate with adjacent capabilities to enhance the developer experience and product lifecycle management.