Top AWS Jobs in Toronto

Develop and optimize a data migration platform for CSPs, ensuring efficient onboarding and collaboration across teams. Utilize Typescript and NodeJS in a cloud environment.

As Principal Engineer, you will lead the development of the BrandVNO platform, enhancing SDK for innovative telecom solutions and ensuring system scalability.

Responsible for providing IT support, managing workstations and servers, overseeing network infrastructure, and implementing security controls, while ensuring effective customer service and process optimization.

Lead the development of API portal and data integration frameworks, managing a team of data engineers to ensure data accessibility and security.

Lead and manage the MCP and Agentic AI engineering teams, overseeing project execution, technical vision, and team development while integrating AI technologies into products.

The AI/ML Engineer will design and maintain scalable ML infrastructure, implement ML technologies, and optimize ML systems, collaborating with cross-functional teams to enhance Okta’s AI/ML capabilities.

The Senior Offensive Security Engineer leads Red Team operations, performs penetration testing, and collaborates across teams to improve security measures. Responsibilities include threat modeling, exploiting vulnerabilities, and mentoring team members while communicating effectively with various stakeholders.

The Data Engineer is responsible for designing and optimizing data pipelines, ensuring data integration, and collaborating with teams on AI-driven applications.

The Databricks Engineer designs, develops, and optimizes data solutions using Databricks, focusing on big data pipelines, ETL workflows, and collaboration with teams to enhance data-driven insights.

Design and implement scalable data architectures, establish data governance, oversee ETL processes and collaborate with teams to enhance data infrastructure.

The ML Developer will develop and optimize machine learning models, integrate AI features into applications, and collaborate with teams for best practices in AI solutions.

The Data Engineer will design and maintain ETL pipelines, work with Snowflake for data warehousing, ensure data quality, and collaborate on analytics initiatives.

The Senior Pre-Sales Solutions Architect bridges the technical and business domains, developing tailored proposals, conducting needs assessments, and designing enterprise solutions.

Design, develop, and deploy scalable machine learning solutions, integrate ML with data warehouses, and optimize model performance in production environments.

The Sr. Machine Learning Engineer will design and deploy scalable ML systems, collaborate across teams, and ensure production readiness of ML models using modern frameworks and cloud services.

The Machine Learning Engineer will develop and optimize ML models, build scalable pipelines, and enhance model performance while collaborating with teams to deliver impactful AI solutions.

The Senior Machine Learning Engineer will develop and enhance machine learning models and advanced analytics, collaborating with teams to deliver impactful, scalable AI solutions.

Lead the AI engineering direction and oversee the development and deployment of AI systems, while mentoring teams and ensuring compliance with best practices.

The Software Applications Engineer develops networking solutions, focusing on full stack development, microservices, and cloud technologies, while ensuring effective communication and collaboration.

The Systems Administrator supports computing infrastructure and enterprise applications, managing design, configuration, security, and maintenance. They provide technical support, automate tasks, and ensure compliance while working in a fast-paced environment.

The Solution Architect will drive customer success and product adoption by acting as a bridge between engineering and field teams. Responsibilities include designing complex deployments, troubleshooting issues, and providing guidance on best practices in cloud security and data protection.

The Cybersecurity GRC Engineer will enhance compliance processes and build compliant tech solutions, integrating AI for efficiency and risk management.

The Senior DevOps Engineer will enhance ZayZoon's AWS infrastructure, automate provisioning, optimize databases, ensure compliance, and work cross-functionally to improve systems and monitoring.

The Atlassian Technical Consultant will optimize the Atlassian product suite for enterprise customers, focusing on migrations, configurations, integrations, and delivering technical solutions. They also engage in pre-sales activities and provide training and documentation.

The Senior Manager, Infrastructure at Wealthsimple leads the Runtime Platform team, overseeing strategy, execution, and stakeholder management to ensure systems reliability and support high-stakes workloads.