This role is for a software engineer in Amazon's Personalization organization, focusing on building innovative user experiences and solving big data problems. The team leverages machine learning and distributed systems to enhance e-commerce features, aiming to deliver high-quality recommendations for customers. The position requires strong leadership qualities and problem-solving skills, with an emphasis on mentoring and continuous improvement. The organization values a respectful work-life balance and opportunities for growth.

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture experience of new and existing systems
• Experience programming with at least one software programming language
• Knowledge of professional software engineering best practices for the full software development life cycle
• Experience with Machine Learning and Large Language Model fundamentals
• Bachelor's degree in computer science or equivalent

• Design, develop, and maintain scalable software solutions to process big data
• Collaborate with diverse stakeholders to envision, design, develop, and launch impactful software
• Utilize technology to solve complex problems
• Deliver high-quality code on schedule
• Demonstrate proficiency in diverse data structures and algorithms
• Independently clarify technical requirements and estimate development timelines
• Conduct code reviews and offer constructive guidance to team members
• Drive continuous improvement in software quality and customer experience
• Mentor and lead developers, fostering curiosity and technical understanding

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.