Top AWS Jobs in Toronto

As a Full Stack Engineer, you'll build next-gen products, debug critical issues, mentor peers, and collaborate with cross-functional teams.

The Senior Software Engineer will manage complex technical issues, collaborate cross-functionally, and improve a SaaS platform's stability and customer experience through software development and root cause analysis.

Lead Full Stack Data Engineer responsible for architecting, developing, and optimizing data solutions, mentoring teams, and driving AI integration in data processes.

The Full Stack Data Engineer will design and implement scalable data solutions, optimize data pipelines, and leverage AI tools to enhance productivity. Collaboration with teams and engagement with data stakeholders is key.

Develop and support cloud-based IVR applications, collaborating with teams to enhance customer experience and troubleshoot issues. Requires strong Java and IVR platform knowledge.

As a Research Engineer, you will develop scalable ML solutions, engage in software development, and apply machine learning techniques in a team-oriented environment.

As an Applied Scientist, you will develop and implement AI and machine learning solutions, design experiments, build models, and collaborate with product and engineering teams to address business problems.

The Solutions Engineer will provide technical expertise for customer implementations and collaborate with various teams to improve the product, focusing on integration through APIs and Infrastructure as Code.

As a Network Engineer, you'll design, configure and maintain scalable network architectures, integrate AI tools, and provide technical leadership.

The Software Engineer II will develop backend services and maintain critical infrastructure for authentication and analytics, collaborating with cross-functional teams to enhance platform capabilities.

The Senior Forward Deployed Engineer manages client relationships, architecting, building, and closing deals while ensuring autonomous delivery of AI solutions. Responsibilities include discovery, architecture reviews, and capability transfer to clients, requiring significant engineering and client-facing experience.

Develop and maintain infrastructure for software development and AI operations, manage CI/CD pipelines, and automate configurations using various tools.

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

The role involves leading the design and development of core platform features, building scalable backend services, managing front-end features, and collaborating across teams to enhance the contract lifecycle management software.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

The Senior Back-End Software Engineer designs, develops, and maintains scalable backend systems while taking ownership of the software development lifecycle.

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.

Design and build multi-agent AI systems and RAG pipelines, orchestrate LLMs and embeddings, develop scalable full-stack (Node.js/Next.js) APIs, optimize infra (SQL, AWS/GCP, Docker/K8s), lead technical design-to-deployment, ensure code quality, and implement video content classification and tagging for influencer marketing.

The Implementation Engineer will lead customer engagements for deploying production agents, architecting workflows, configuring environments, and guiding deployments while providing ongoing technical support and product feedback.

Design and implement high-throughput database integrations and replication into ClickHouse. Improve system reliability, debug production issues using observability tools, write documentation, participate in on-call rotation, and collaborate with customers and cross-functional teams to drive product improvements.

Lead and manage global software engineering teams to drive technical initiatives, ensuring high-quality delivery of scalable products while fostering a culture of innovation and accountability.

The Principal Incident Response Engineer leads proactive and reactive incident response engagements and training, reviews incident response plans, and guides customers in cyber incident management.

The Principal Data Architect will design and evolve enterprise data architecture to support business growth and AI integration, ensuring a secure and efficient data ecosystem while collaborating with various teams to enhance data quality and governance.

Seeking a Sales Engineer to build relationships, promote fraud and identity solutions, lead technical presentations, and collaborate with sales teams to drive customer success.

Lead a team of developers in delivering fleet-management software, manage the software delivery lifecycle, and contribute code while mentoring team members.