Top AWS Jobs in Toronto

As a Data Engineer, you will design and implement solutions for data integration and manage data quality, while collaborating with various teams for optimal data usage and decision-making.

The Sr. DevOps Engineer will enhance internal tooling for developers, design APIs, improve service reliability, and collaborate with teams for operational improvements.

The Technical Director will manage architecture ownership, lead client innovation strategies, mentor teams, and ensure technical excellence in projects.

The Staff Software Engineer will work on backend systems, evolving core architecture, designing APIs, and ensuring reliable software for privileged access management.

The Senior AI Red Team Analyst executes red team operations, simulates adversary behavior, collaborates on security exercises, and contributes to defensive strategies against modern attack scenarios.

The Software Release Engineer will manage the release of NetBrain products, design and implement CI/CD workflows, and ensure feature coverage with development teams.

The Software Engineering Manager will lead two teams in developing and maintaining the AutoTrader.ca marketplace, focusing on team growth, delivery predictability, and product strategy while leveraging AI for development.

As a Full Stack Software Engineer, you will develop and maintain software for high traffic websites, emphasizing AI integration and quality coding practices within a cross-functional agile team.

Lead high-impact AI initiatives, develop ML products, collaborate with cross-functional teams, and mentor data scientists in a dynamic environment.

As a Data Developer, you will modernize data systems, develop scalable data pipelines, and maintain ETL processes while ensuring data accuracy and compliance.

Lead solution delivery across Billing and Maintenance, drive AI-assisted engineering, and mentor vendor development teams while ensuring alignment between architecture and business objectives.

As a Principal Automation Engineer, lead infrastructure automation, define IaC strategies using Ansible and Terraform, and integrate AI into automation. Act as a technical consultant and mentor to teams, ensuring architectural governance and enhancing systems' reliability and speed to market.

The Principal Data Engineer will lead the design and implementation of scalable streaming data pipelines, ensuring data governance and performance optimization, while mentoring other engineers and driving modernization efforts across the organization.

As a Software Developer in Infrastructure at Geotab, you will manage critical applications, modernize platforms using Kubernetes, and enhance observability systems while collaborating on infrastructure operations at scale.

The Manager, IT Systems will lead integration and automation engineers, managing the technical roadmap, fostering collaboration, and enhancing operational efficiency through automation.

The QA Test Developer will maintain the automation framework and perform various testing types while ensuring quality through collaboration with development teams. Responsibilities include automated test writing, integration into CI/CD, debugging, and promoting best practices in software development processes.

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 Senior AI Architect designs end-to-end AI systems, optimizes architectures, establishes evaluation frameworks, leverages real-time data, and collaborates with customers and account teams to deploy AI solutions and improve customer experience.

The Senior Data Scientist will manage data science needs for partners, develop advanced modeling solutions, and solve complex business challenges through data science methodologies.

Responsible for governance, risk and compliance in IT. Develop policies, conduct audits, manage risk assessments, and ensure compliance with regulations.

Develop, test, and deploy AI-powered automations for marketing operations. Collaborate on API integrations and optimize workflows while writing clean code.

Develop and maintain enterprise software applications, focusing on back-end development, API development, and ensuring application security while contributing to software improvement processes.

The Account Executive sells cloud data security solutions, manages the sales cycle, creates business strategies, and builds relationships with executives and partners.

As a Machine Learning Ops Engineer, you'll develop robust code, build and maintain MLOps infrastructure, QA systems, and mentor junior engineers to enhance AI model performance for mining clients.

As a Forward Deployed ML Engineer, you will apply machine learning to mining operations, develop neural network architectures, and communicate findings to non-technical stakeholders while working independently.