Top AWS Jobs in Toronto

The role involves architecting serverless backend systems, modernizing microservices, optimizing AWS architecture, and utilizing AI tools for development. The candidate should have strong backend expertise, particularly in TypeScript and Node.js.

Responsible for building scalable backend systems, collaborating with cross-functional teams, and leading projects from design to deployment in a high-growth tech environment.

The DataBricks Architect will design end-to-end data solutions, develop data pipelines, collaborate with various teams, and provide technical support in a pharmaceutical environment.

Lead the design and development of CI/CD pipelines, manage cloud infrastructure, and develop microservices while collaborating with stakeholders and providing documentation and mentorship.

Develop and maintain full stack software solutions for lidar products, manage cloud infrastructure, and optimize performance in a Linux environment.

As a Senior Backend Engineer, you will build and enhance backend and middleware layers using Nodejs, oversee feature deployment, and leverage AI tooling for efficiency.

As an Applied AI Engineer, you will architect AI systems for enterprise coaching, develop LLM components, and enhance user experiences through data-driven insights.

The Senior Java Developer designs, develops, and supports backend software components, collaborates with teams, and ensures high-quality applications.

As a Cloud CyberArk Engineer, you will implement PAM solutions in cloud environments, ensuring secure management of privileged accounts and collaborating with clients to define governance frameworks.

As a Sr. Security Engineer, you'll advise on security requirements, build trust with customers, and collaborate on technical risk mitigation throughout sales processes.

Design and develop API platforms, ensuring real-time data replication and automation. Collaborate with teams, establish best practices, and enhance performance.

The Lead Data Scientist will develop marketing mix models, automate data workflows, and communicate insights to enhance marketing effectiveness for clients.

As a Machine Learning Engineer, you will develop user experiences using LLMs and predictive analysis, deliver ML solutions, and ensure continuous improvement in AI products at scale.

The Senior Data Scientist will develop and validate marketing mix models, analyze data, automate workflows, and communicate insights to clients.

Lead the design and implementation of cloud-native solutions using GCP/AWS. Responsible for ensuring robust and scalable systems aligned with project goals.

As a Full Stack Software Engineer, you will build user-facing and platform experiences for AI agents, ensuring quality solutions for HR and finance workflows through collaboration within a cross-functional team.

Lead a team of software developers at Ticketmaster, overseeing the development and maintenance of high-quality backend services while driving collaboration and delivering an exceptional ticketing experience.

Lead the development of machine learning systems for fraud detection and risk modeling at scale, collaborating across teams and influencing ML strategy.

Design and implement Generative AI solutions for finance, develop chatbots, process data, and maintain AI models in production.

The Enterprise Architect leads the development of AI and Data architecture, aligning technology with business needs while ensuring adherence to governance standards. They provide strategic guidance, collaborate with stakeholders, and utilize advanced technologies to enhance solutions and processes.

Develop scalable cloud applications, focusing on Kafka-based data streaming platforms, mentoring junior developers, and optimizing performance.

The Enterprise Architect designs IT architecture, aligns business needs with technology, and leads solution implementations while advising stakeholders on architectural standards.

The role involves designing and implementing cloud solutions, ensuring security compliance, collaborating with stakeholders, and enhancing cloud capabilities at BMO.

The role involves building scalable AI solutions, enhancing productivity through agentic automations, and integrating LLMs and other advanced AI frameworks.

The Senior DevOps Engineer will work on product development, ensuring smooth operations of systems, and improving CI/CD workflows while addressing security vulnerabilities and system health monitoring.