Software Development Engineer , Customer Engagement Technology
Amazon
DESCRIPTION
As a Software Engineer on the Data and AI 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 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, you'll write and review code for data processing systems, while monitoring and optimizing existing solutions for performance and reliability. You'll 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, you'll also mentor junior engineers, sharing your expertise in system design and best practices.
By day's end, you'll 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, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re 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 Data and Artificial Intelligence (AI) team is a new function within Customer Engagement Technology. 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.
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Software Engineering or a related technical discipline
- 3+ years of software development experience, including full software development lifecycle from design through operations
PREFERRED QUALIFICATIONS
- Experience in building end to end Data and AI engineering infrastructure
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Hands-on experience implementing GenAI applications and algorithms, and advancing the state of the art
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.