Top AWS Jobs in Toronto

The Product Owner will lead the development of AI/ML products for bioinformatics workflows, collaborating with scientists and ensuring product alignment with business needs.

The Product Owner will lead the development of AI/ML solutions for scientific workflows, manage product lifecycle, and collaborate with stakeholders to ensure alignment with research objectives.

The Product Owner leads the development of AI/ML software products for scientific workflows, managing requirements, collaborating with stakeholders, and overseeing agile product delivery.

As a Data Platform Engineer Specialist, you will design and maintain robust data infrastructure on AWS, lead data pipeline development, ensure data security, and mentor junior engineers while collaborating across teams to drive data innovations.

The Data Engineer will design, develop, and support data and AI products, ensuring alignment with standards and business requirements while optimizing deployment capabilities and handling production issues.

Lead the analysis and design phases of the software development life cycle, developing solutions for business problems and mentoring junior analysts in data modeling and mapping.

Lead and enhance ServiceNow CMDB and ITOM practices, oversee data quality and governance, gather business requirements, and provide mentorship. Collaborate with stakeholders and ensure alignment with ITSM processes for operational efficiency.

The Senior Cloud Architect will design and implement cloud solutions, drive DevOps culture, and manage short to medium-term cloud initiatives focusing on technology and application architecture.

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

The role involves collaborating with departments to enhance data analytics, developing data pipelines, processing data, and presenting insights for decision-making.

The Senior Cloud Platform Engineer will design and build a cloud self-serve platform, focusing on Azure, implementing automation, deployment pipelines, and core platform components.

Lead development of advanced ML/AI solutions: design large-scale data pipelines, build and deploy ML/deep learning and LLM models, collaborate with product and analytics teams, deliver data-driven recommendations, and scale MLOps processes.

The Principal Cloud Platform Engineer will lead the architecture and evolution of Azure cloud platforms, ensuring automation, compliance, and secure environments while mentoring mid-level and junior engineers.

The Senior Cloud Engineer is responsible for designing, building, and enabling secure cloud solutions in Azure and AWS, focusing on cloud-native architectures, IaC, and multi-cloud adoption while ensuring security and compliance.

Designs and delivers a scalable, secure AI platform, focusing on building distributed services using Akka to enhance AI solutions. Collaborates with teams to ensure high-performance infrastructure and meets regulatory compliance while innovating AI delivery processes.

In this role, you will design and build scalable AI platform services, manage infrastructure, develop microservices, and ensure compliance and security for AI workflows.

The Senior Cybersecurity Specialist will establish governance frameworks, assess threats, manage vulnerabilities, conduct penetration testing, and communicate risk to leadership.

The Senior Cloud Engineer - Data & AI leads the development of data and AI products, ensuring alignment with business requirements and technical standards, while promoting innovation and process improvement.

The Adobe AEM Cloud Backend Developer will design, develop, and optimize scalable backend solutions, focusing on AEM Cloud architecture and services while ensuring integration with third-party systems and maintaining high-performance digital experiences.

The Senior Manager Development leads the software development lifecycle, manages teams, translates user needs into specifications, ensures code quality, evaluates technologies, and fosters team culture and growth.

The role involves installation, monitoring, and upgrading Unix systems in the SAP landscape, managing SAP environments, automating tasks, maintaining systems' operational efficiency, and ensuring compliance with business needs.

Lead a multidisciplinary team to design and deliver agentic AI systems for drug discovery and clinical research, set technical roadmaps, ensure regulatory compliance and AI safety, mentor staff, and represent Sanofi in research collaborations.

The Solutions Engineer evaluates customer data center environments, proposes tailored infrastructure solutions, builds technical relationships, manages pipelines, and trains sales teams.

Design, build, and operate large-scale event streaming and data pipeline infrastructure. Lead technical direction, mentor engineers, drive cross-team initiatives, and improve observability, reliability, and scalability of platform systems.

Lead performance analysis and remediation across a large distributed CIAM system. Write production code (Node.js, some Go), design and run performance experiments, collaborate with service owners and architects, author RFCs/decision records, and promote shift-left performance practices across the engineering organization.