Top AWS Jobs in Toronto

Lead technical product development for the DSP platform: define APIs and platform governance, drive ML/AI optimization for bidding and pacing, ensure scalable low-latency systems, partner with Engineering and Data Science, deliver reporting and attribution, manage technical debt, and drive cross-team adoption and monetization of platform capabilities.

Design, build, and support cloud and edge infrastructure, lead migrations, ensure security, provide mentorship, and manage costs.

As a Database Reliability Engineer IV, you will design data storage systems, develop best practices, enhance tools for database interaction, and provide lifecycle support while collaborating with the engineering team.

Lead engineering teams to develop customer-facing web and mobile applications leveraging AWS and software engineering best practices. Foster a collaborative environment and mentor engineers while ensuring delivery of technology solutions.

The Distinguished Engineer will lead technical innovation, mentor talent, and provide expert guidance on complex banking solutions in the cloud, ensuring excellence in engineering practices.

The Staff Infrastructure Engineer will design and develop cloud infrastructure, optimize operations, lead Kubernetes management, implement IaC, and mentor engineers.

Design and develop scalable AI/ML solutions while mentoring teams and collaborating with cross-functional partners to enhance customer experience through data-driven insights.

The AI Platform Engineer II will build and maintain services for the AI platform focusing on ML decision-making, implement cloud solutions, troubleshoot incidents, and enhance workflows through collaboration and tools.

The Escalation Engineer at MongoDB will solve complex customer issues, mentor team members, and contribute to internal projects, requiring a strong technical background and customer leadership skills.

The Software Engineer will independently manage projects, improve system performance, mentor junior developers, and enhance application infrastructure while ensuring data security.

As a Senior Software Engineer, you will architect and maintain data infrastructure, build scalable data pipelines, and collaborate with cross-functional teams to support business goals.

Lead the delivery of iOS components, mentor engineers, improve practices, and develop mobile applications using Swift and SwiftUI, while working in an agile environment.

As a Platform DevSecOps Engineer, you will design and operate KUBRA's Internal Developer Platform, focusing on security integration, automation of workflows, and collaboration with product teams.

As a Senior Associate, Data Analyst at Capital One, you will analyze datasets to support business strategies, communicate insights, and enhance decision-making through data visualization and stakeholder collaboration.

The Enterprise Solutions Engineer will support sales by interfacing with customers, handling objections, and providing technical assistance while traveling frequently for business engagements.

Develops IoT applications, connects existing equipment to modern infrastructure, visualizes sensor data, and creates metrics for manufacturing environments.

As a Site Reliability Engineer II, you'll enhance PagerDuty's infrastructure, ensuring reliability and scalability while monitoring system health and participating in on-call rotations.

Lead software engineering teams to deliver high-quality software solutions, oversee technical strategy, and manage performance while ensuring operational excellence.

Lead technical design and architecture for mobile applications, mentor teams, and enhance software engineering practices within an agile environment.

The role involves using machine learning and data science skills to develop automated solutions, enhance marketing, and support product functions, requiring statistics expertise and technical knowledge.

The Supply Chain Associate will build and optimize data pipelines, integrate diverse data sources, implement quality checks, manage infrastructure, and collaborate with cross-functional teams to enhance data solutions.

Develop and implement AI-driven automation for financial workflows, build integrations for financial systems, and ensure reliability in production data systems.

The Staff Machine Learning Engineer will lead Bitcoin risk modeling efforts, drive ML strategy, develop detection models, and mentor teammates.

The Cloud FinOps Senior Analyst is responsible for optimizing cloud costs through analysis, collaboration with engineering and finance teams, and development of financial models, dashboards, and reports, leveraging AI for insights and automation.

The Staff Machine Learning Engineer will build ML systems to enhance fraud prevention and risk decisions driving platform improvements and mentoring fellow scientists.