Software Development Engineer , CS Data Intelligence

As a Software Engineer on the CS Data Intelligence team you will design and build robust secure data infrastructure systems. Youll architect for real-time data processing needs implement secure storage solutions and develop privacy-compliant data access layers. Additionally youll build infrastructure that supports the complete lifecycle of Artificial Intelligence (AI) models - from development to production deployment. Youll 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 with cross-functional teams including Product Managers Applied Scientists and Data Engineers to understand requirements conduct design reviews and ensure successful delivery of solutions while maintaining high development standards.

A day in the life
A typical day as a Software Development Engineer involves architecting and building robust data and ML infrastructure solutions that power critical AI initiatives. Your morning might start with technical design discussions collaborating with Applied Scientists to understand infrastructure needs for new AI models or working with Product Managers to plan data product features.
Throughout the day youll write and review code for data processing systems while monitoring and optimizing existing solutions for performance and reliability. Youll often find yourself diving deep into production issues implementing solutions that enhance system stability and building new capabilities into our data and ML platforms. A significant portion of your time is spent implementing and improving monitoring systems that ensure our data infrastructure operates efficiently and securely.
Cross-team collaboration is key as you work closely with security teams to maintain data compliance requirements and consult with Applied Scientists to optimize model deployment workflows. As a senior member of the team youll also mentor junior engineers sharing your expertise in system design and best practices.
By days end youll have typically pushed forward key infrastructure initiatives solved complex technical challenges and improved the reliability and efficiency of our data systems.

If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!

Benefits Summary:
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular full-time employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

About the team
The CS Data Intelligence team is a new function within Customer Service organization. We own the end-to-end process of defining building implementing and monitoring a comprehensive data strategy. We also develop and apply Generative Artificial Intelligence (GenAI) Computer Vision ML Ontology and Natural Language Processing (NLP) to customer service associate experiences and foundational technologies.

- 3 years of non-internship professional software development experience
- 2 years of non-internship design or architecture (design patterns reliability and scaling) of new and existing systems experience
- 3 years of Video Games Industry (supporting title Development Release or Live Ops) experience
- Experience programming with at least one software programming language

- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent

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