Top AWS Jobs in Toronto

The role involves managing a software engineering team, collaborating with product and design teams, and driving AI initiatives for contract management solutions.

The Data Engineer will develop and deliver technical projects focused on data integrity, security, and scalable analytics solutions, working closely with team members and ensuring effective data pipelines and infrastructure.

The Senior Growth Engineer will lead growth experiments, develop customer-facing features, and design scalable APIs while collaborating with cross-functional teams to drive business impact.

As a Principal Machine Learning Engineer, you'll design and implement core ML systems for AI agents, collaborating with cross-functional teams and overseeing the full lifecycle of products from data strategy to deployment.

The Senior Growth Platform Engineer will design and build scalable backend systems, APIs, and growth infrastructure to enhance experimentation and targeting capabilities for retailers.

As a Software Engineer II, you'll build the ML Feature Platform, collaborate on developing backend systems, and ensure operational availability while engaging in team growth.

As a Senior Quality Platform Engineer, you will develop and maintain quality infrastructure, improve developer experience, and implement quality engineering practices to ensure scalable, efficient testing workflows.

As Sr. Platform Engineer, you will develop tools and frameworks for Aha! engineers, optimize performance, and manage AWS infrastructure.

The Freelance Data Scientist will analyze healthcare and marketing data, providing insights and recommendations to clients while collaborating with various stakeholders.

The Lead Agentic AI Engineer will lead the design and deployment of AI solutions, focusing on agentic workflows and LLM integration, while mentoring engineers and driving architectural best practices.

The Senior DevOps role involves managing the AI platform, optimizing cloud infrastructure, implementing CI/CD pipelines, and collaborating with teams to enhance AI solutions and operations.

Lead machine learning projects for credit limit strategies, design scorecards, deploy models, and collaborate with teams to synthesize data insights.

The Senior Application Developer will lead software development for payment API services, utilizing AWS and Node.js, while managing teams and ensuring production-ready solutions.

The Senior Manager, Wealth Leads & Campaigns drives revenue through analytics-led client acquisition and campaign enablement, supporting various segments and ensuring execution aligned with business strategies.

Lead development of advanced ML/AI solutions: design large-scale data pipelines, build and deploy ML/deep learning and LLM models, collaborate with product and analytics teams, deliver data-driven recommendations, and scale MLOps processes.

The role involves managing analytics and campaign strategies, optimizing leads, and enhancing client experiences in Wealth Management, with a focus on data insights and performance measurement.

The Lead Software Engineer will manage ETL processes, collaborate with teams, ensure system stability, and mentor junior staff. Responsibilities include technical implementation and continuous improvement of data management systems.

As a Software Engineer III at Emburse, you will develop and enhance software solutions, fix bugs, and design features with minimal supervision. Collaboration and code reviews are essential parts of the role.

The Data Engineering Senior Lead Analyst will oversee data analysis and consult with clients to drive business strategies using technology. They will manage projects, ensure quality results, and translate technical concepts for various audiences.

The role involves designing, developing, and maintaining scalable backend services using Java and modern technologies, focusing on microservices architecture, TDD, and collaboration with teams.

Lead the Developer Environments team, enhancing software development productivity. Drive strategy, manage systems, and improve developer workflows and tooling.

As a Cloud CyberArk Engineer, you will implement PAM solutions in cloud environments, ensuring secure management of privileged accounts and collaborating with clients to define governance frameworks.

Lead a high-impact engineering team, oversee feature delivery and platform scalability, and improve technical maturity through modernization and AI tools.

Lead the design and development of CI/CD pipelines, manage cloud infrastructure, and develop microservices while collaborating with stakeholders and providing documentation and mentorship.

The Business Systems Analyst will manage business requirements for projects in the investment management industry, collaborating with teams to deliver solutions and support systems, ensuring stakeholder expectations are met and projects adhere to deadlines.