Top AWS Jobs in Toronto

The Senior DevOps Engineer will assess and optimize IBM i environments, modernize infrastructure, implement DevOps practices, and collaborate with cross-functional teams to enhance software delivery.

Design, operate, and improve scalable infrastructure systems for processing millions of invoices while ensuring performance, reliability, and developer experience.

As a Data Engineer, you will design and maintain data pipelines, ensure data quality, collaborate with teams, and automate workflows in a cutting-edge AI platform.

The Data Scientist will conduct data analysis and modeling to support investment decisions, design data pipelines, and collaborate with teams to provide actionable insights.

As the Sr. Director of Engineering, you will lead the development of Affinity's CRM product, shaping the product roadmap, leading engineering execution, and guiding a high-performing team.

As a Senior Machine Learning Developer, you will build and maintain ML models and pipelines, enhancing AI systems for business applications.

Provide technical support for MongoDB to customers, resolving problems, assisting fellow engineers, and contributing to content creation and product strategy.

The Database Engineer will design, implement, and manage high-performance databases, ensuring data integrity and security while collaborating with teams to improve the data infrastructure.

As a Senior Software Engineer at Lyft, you'll manage and optimize production infrastructure, develop tooling for better reliability, and support teams with operational insights.

The role involves leading infrastructure enhancement, optimizing disaster recovery, and ensuring service reliability for backup systems. Key responsibilities include developing infrastructure roadmaps, conducting tests, automating operations, and collaborating with teams for scalability and security.

Design and develop scalable backend services, support microservices, collaborate on frontend integration, and ensure secure application architecture.

As a Platform Architect, lead infrastructure optimization, ensuring service resiliency and operational excellence for backup and disaster recovery systems. Collaborate on scalability and security while managing team readiness and compliance with policies.

The Genesys Cloud CX Integration Engineer will design, implement, and maintain integrations between Genesys Cloud CX and various CRMs. Key responsibilities include configuring data flows, ensuring system reliability, and collaborating with analysts to validate requirements while staying updated on integration capabilities.

The Backend Developer will design and implement scalable backend services and APIs using Golang, optimize performance, and work with clients directly.

The Staff FinOps Engineer will manage the FinOps program, optimize cloud spending, provide analysis and recommendations, and promote cost-conscious culture within teams.

As a Senior Software Developer, you'll build and optimize ML systems, support applied scientists, and enhance the performance and reliability of models at scale in an e-commerce context.

As a Staff Machine Learning Engineer, you will design ML systems for location analysis, collaborate with teams to integrate ML into products, and mentor others while ensuring optimal system performance and reliability.

The Application Support Engineer ensures system uptime, provides L1/L2 support, manages incidents, monitors systems, and coordinates teams during incidents.

As a Backend Engineer, you'll design REST APIs, model data across relational and graph stores, debug customer issues, optimize performance, and collaborate to deliver features.

The engineer will own customer integrations, design architectures, troubleshoot issues, optimize performance, and educate customers on using the product effectively.

Develop and maintain full-stack features for the Mem0 platform, ensuring code quality, performance, and user experience while collaborating with design and research teams.

The Director of R&D Software Engineering leads software development teams, drives platform modernization, and oversees R&D strategies and budgets, fostering innovation and collaboration.

As a Platform Infrastructure Research Engineer, you'll design scalable systems for AI, optimize cloud services, and support resilient infrastructures across various environments.

The Senior Product Manager will manage the lifecycle of Redis Software Kubernetes product offerings, collaborate with various teams, and define product requirements.

As a Senior Software Engineer, you will lead your team in delivering features according to specifications, ensuring scalable technical decisions, and mentoring team members.