As a Software Development Engineer on the Identity Analytics team, you will be responsible for building and operating the data platform infrastructure that supports AI and analytics capabilities. This role involves designing scalable data ingestion and transformation pipelines for petabyte-scale Identity logs and metrics. You will work closely with Applied Scientists to translate research prototypes into production systems, ensuring reliability and performance. The position offers a unique opportunity to impact the evolution of AWS Identity services and deliver insights that affect millions of customers globally.

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture experience of new and existing systems
• 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications using C#, C++, Java, or Perl
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• Knowledge of Machine Learning and LLM fundamentals, including transformer architecture and optimization techniques
• Experience developing, deploying and managing AI products at scale

• Design, build, and operate scalable data ingestion, transformation, and loading pipelines for Identity logs and metrics.
• Own the productionization lifecycle for ML models developed by the Applied Scientist, ensuring reliability and scalability.
• Build and maintain the feature engineering infrastructure for transforming raw Identity data into structured datasets.
• Drive platform resilience and operational excellence through robust monitoring and automation.
• Partner with Applied Scientists and product managers to understand analytical requirements and design supporting data models.
• Identify and build onboarding capabilities for new Identity service teams to integrate their data into the platform.

• 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.