Top AWS Jobs in Toronto

As a Senior Backend Engineer, you'll develop and optimize our backend systems, mentor other engineers, and lead projects while collaborating across teams to enhance product features and performance.

As a Technical Customer Success Manager, you will manage key customer relationships, drive value realization, ensure account renewals, and contribute to the customer success strategy, emphasizing cloud infrastructure and DevOps practices.

As a Site Reliability Engineer at GoDaddy, you'll automate and maintain storage infrastructure, focusing on Ceph, while ensuring system reliability and performance. You'll develop tools, monitor systems, and enhance operations.

The Staff Software Engineer will lead the Cloud Engine Team in scaling a cloud-native data processing engine, mentor team members, and drive architectural improvements and best practices.

As a Data Engineer at Northbeam, you will develop and maintain scalable data pipelines, optimize data ingestion, and provide technical leadership in a cross-functional team.

This role involves designing, building, and optimizing backend applications using AWS and Amazon Connect, focusing on APIs, microservices, and cloud services.

Design and implement backend systems for a trading platform, build data pipelines, and collaborate in the software development life cycle.

The Backend Engineer will develop and enhance the accounting platform, collaborate with teams, integrate fintech solutions, and ensure system performance and reliability.

As a Senior Product Engineer at Hive, you'll develop AI-powered marketing features, prototype and scale solutions, and design user-friendly interfaces. Collaborate across the stack using React and Python to enhance marketing automation with AI tools.

As a Product Engineer at Hive, you will build AI-powered marketing tools, develop user-facing features, and collaborate on technical planning, primarily using React, Typescript, and Python.

The Senior Sales Engineer will educate customers on WEKA's technical offerings, assist with evaluations, deliver product presentations, and act as a technical advisor.

Lead the development of a scalable platform, solve challenges in metadata management, and mentor engineers while ensuring security and performance.

Design and build AI-driven cybersecurity products, collaborate with stakeholders, mentor engineers, and enhance infrastructure efficiency.

As a Senior Full Stack Engineer focused on the Solana ecosystem, you'll develop dApps, smart contracts, and integrate solutions across web2 and blockchain systems while managing client expectations and project timelines.

As a Senior Software Engineer, you will design and implement fullstack applications using Java and React, enhance CI/CD processes, and lead technical discussions while mentoring team members.

As a Senior Backend Engineer, you will design and implement Vendia's distributed AI data platform, ensuring scalability and operational excellence.

Lead Andela Academy, scaling enterprise learning solutions in AI and Cloud. Build relationships, oversee team delivery, and drive revenue growth with high client satisfaction.

The Senior Help Desk Technician will manage support requests, provide superior customer support, and maintain IT systems, ensuring smooth operations and security within the organization.

The Principal AI Architect leads AI strategy, engages clients in workshops, designs AI solutions, and ensures best practices for AI implementation.

The Software Engineer will build database infrastructure, solve complex distributed systems challenges, and work directly with customers to provide technical solutions.

Join the Surfaces team to build user-facing UIs and APIs for managing PlanetScale databases. You'll work with technologies like React, Ruby on Rails, and Go, focusing on developer experience and solving user problems.

Design and build secure, scalable systems as a Full-Stack Software Engineer, leveraging expertise in Next.js, TypeScript, PostgreSQL, and AI tools to enhance cybersecurity within global infrastructure.

The Data Operations Engineer will optimize and maintain data labeling workflows, automate tasks, and ensure quality in data annotation processes.

Develop AI solutions and enhance observability data using AI-powered features. Collaborate cross-functionally, iterate rapidly, and take ownership of AI projects while ensuring scalability and impact.

As a Technical Consultant, you'll engage with enterprise clients, design AI-enhanced cloud architectures, implement solutions, and mentor teams, ensuring successful outcomes and innovation.