Top AWS Jobs in Toronto

Serve as a subject-matter trusted advisor for Pricing and Reference Data customers across the lifecycle (LAER). Monitor customer health, conduct business reviews, co-create success plans, drive adoption and organic expansion, surface feedback and issues, partner with internal teams, and proactively identify and mitigate risks.

The Manager, BI Consulting will lead BI initiatives, engage stakeholders, analyze requirements, design data solutions, and manage client relationships.

As an AI Engineer, you will design and deploy scalable AI solutions, optimize models, integrate AI into enterprise environments, and monitor production AI systems while collaborating with various teams.

The IT Release Manager coordinates software release deployment in financial services, ensuring compliance with regulations and minimizing production risks through collaboration with teams and effective communication.

This role involves developing internal tools, scaling cloud infrastructure, optimizing CI/CD pipelines, diagnosing failures, and collaborating with the QA team to enhance productivity and results analysis.

The role involves designing and developing scalable front-end solutions for travel booking experiences, optimizing performance, and collaborating with cross-functional teams.

The Corporate Cloud and Infrastructure Manager will lead IT infrastructure, manage vendor relationships, ensure security and compliance, and drive strategic IT initiatives in a hybrid environment incorporating AWS and Azure.

The role involves designing and implementing AI features, building APIs, participating in code reviews, and ensuring software scalability and reliability.

The Principal AI Developer will design and implement AI features, drive code reviews, troubleshoot issues, and contribute to technical roadmaps, focusing on scalability and performance for a reliable platform.

Design and develop Waabi's observability stack, optimize performance, build automation tooling, and support application requirements while leading projects and mentoring teams.

Responsible for managing a data engineering team, overseeing data pipelines and platforms, and ensuring the efficient processing of high-volume data. Focus on mentoring, project management, and optimizing system performance.

The Application Engineer collaborates with customers to configure and implement Litmus products, ensuring measurable value and technical support while driving product expansion and maintaining documentation.

As a Full Stack Engineer at StackAdapt, you will develop the advertising platform, write scalable code, collaborate on architecture, and improve system design. You will lead end-to-end projects and contribute to code reviews.

The role involves developing and implementing a cloud strategy for Hexagon Mining, overseeing cloud product lifecycles, collaborating with teams, and managing budgets.

The Senior DevOps Engineer will enhance infrastructure, CI/CD, and operational standards. They will lead initiatives, resolve production issues, and implement best practices using various technologies.

Lead marketing strategy and execution for strategic technology alliances, focusing on AWS, to drive awareness, pipeline, and revenue through integrated campaigns and partner engagement.

The Staff Software Engineer will lead technical efforts in fundraising and reporting, ensuring best practices, mentoring engineers, and improving systems while collaborating across teams.

The Senior Sales Engineer will partner with customers to solve data challenges, educate them on WEKA's solutions, and provide technical support.

As a Full Stack Engineer, you will build AI-powered applications, manage client interactions, and apply best practices in MLOps and LLMOps.

The Senior Infrastructure/DevOps Engineer will design, implement, and manage cloud infrastructures using tools like Docker and Terraform, ensuring security and automation.

As a Software Engineer, you will design and implement scalable infrastructure systems for AI-powered security solutions, optimize performance, and improve deployment practices across cloud environments.

The Senior DevSecOps Engineer will enhance cloud security, manage vulnerabilities, implement secure CI/CD practices, and support incident response efforts.

The Senior Backend Engineer will design and implement core backend systems for a new SaaS application, focusing on AI-first methodologies and cloud-native architecture. Responsibilities include building event-sourced services, collaborating on architecture and standards, and mentoring team members.

Manage the lifecycle of Redis software Kubernetes products, collaborating with engineering, partners, and internal teams to define product requirements and integrate solutions.

Lead cross-functional infrastructure programs, optimize AI systems, and improve scalability and performance in a hybrid technical environment.