The role focuses on developing and deploying machine learning solutions to analyze petabyte-scale identity data for AWS Identity Analytics. The team aims to create actionable insights that influence AWS Identity services and enhance customer security. Candidates will work in a fast-paced environment, leveraging advanced ML techniques and AWS resources. The position also involves mentoring junior engineers and collaborating with various teams to drive measurable business outcomes.

• 5+ years of non-internship professional software development experience
• 5+ years of programming experience with at least one software programming language
• 5+ years of experience leading design or architecture of new and existing systems
• Experience as a mentor, tech lead, or leading an engineering team
• Experience with Machine Learning and Large Language Model fundamentals
• 5+ years of full software development life cycle experience
• Bachelor's degree in computer science or equivalent

• Design, develop, and deploy end-to-end ML solutions for identity logs and metrics.
• Build and operate LLM-powered agents for querying and exploring identity data.
• Engineer features from petabyte-scale datasets using AWS services.
• Partner with AWS Identity leadership and service teams to define success metrics and validate models.
• Apply state-of-the-art techniques in ML and deep learning to Identity Analytics challenges.
• Communicate complex technical concepts to diverse audiences.
• Mentor junior engineers and contribute to the team's long-term technical direction.

• 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.