Amazon Development Centre Canada ULC
Technology
SoftwareDevelopmentEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Software Development Engineer at Amazon Development Centre Canada ULC. Skills: Data infrastructure, ML platform, Data governance. Design data infrastructure. Build data infrastructure”
Industry & Context.
Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
3+ years software development experience, 2+ years system design/architecture experience, Experience programming one language
Nice to Have
3+ years full SDLC experience, Bachelor's degree in computer science
What You'll Do.
Design data infrastructure
Build data infrastructure
Architect real-time data processing
Implement secure storage
Develop privacy-compliant access layers
Build AI model lifecycle infrastructure
Develop data governance frameworks
Implement security controls
Implement authentication mechanisms
Build scalable data products
Drive technical architecture decisions
Own end-to-end delivery
Collaborate with cross-functional teams
Understand requirements
Conduct design reviews
Ensure successful delivery
Maintain high development standards
How You'll Work.
Team & Collaboration
Cross-functional teams; Applied Scientists; Product Managers; Data Engineers; Security teams
Full Job Description
As a Software Engineer on the Data Intelligence team which is part of Amazon Customer Service (CS) team, you will design and build robust, secure data infrastructure systems. You'll architect for real-time data processing needs, implement secure storage solutions, and develop privacy-compliant data access layers. Additionally, you'll build infrastructure that supports the complete lifecycle of Artificial Intelligence (AI) models - from development to production deployment. You’ll work with cross-functional teams (e.g., scientists, product managers, data engineers) to create enterprise-scale data processing systems that handle high-volume transactions, implement comprehensive data governance frameworks, and build scalable data products that power critical business capabilities. If you enjoy solving complex technical challenges in high-scale environments, working in a collaborative and dynamic team, and want to make a lasting impact on Amazon Customer Service worldwide, this is your opportunity. Come join us on this exciting journey! Key job responsibilities - Design and implement enterprise-scale data infrastructure and storage solutions that ensure optimal performance and reliability. - Architect and build Machine Learning (ML) platform infrastructure that supports the complete model lifecycle, from training environments and validation frameworks to production deployment and monitoring systems. - Develop and maintain robust data governance frameworks, implementing security controls, authentication mechanisms, and compliant data access patterns that protect sensitive information. - Drive technical architecture decisions and system design, focusing on scalability, reliability, and performance of distributed services while ensuring alignment with business requirements. - Own end-to-end delivery of technical solutions, including design, implementation, and verification of components, using standard software engineering methodologies and best practices. - Collaborate wit
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