About the job
Join our Applied AI Solutions team and help build the secure data foundation that powers AWS's AI-driven business applications. We own critical infrastructure including event-based data stores, machine learning training platforms, and data access interfaces that enable responsible AI development while maintaining the highest standards of privacy, security, and compliance. Our platform serves as the backbone for storing, processing, and managing data that fuels AI-powered capabilities across AWS, ensuring customers retain full control over their information.
Responsibilities
- Own and deliver complete software features for event-based data storage systems, from design through deployment and operations, ensuring they provide flexible, secure, and compliant platforms for AI-powered business applications
- Maintain, refactor, and enhance existing storage and analytics platform, identifying opportunities to improve performance, scalability, and operational excellence while eliminating technical debt
- Design and implement software solutions for data access interfaces and authorization systems within established architectural strategies, seeking guidance from senior engineers when facing complex technical tradeoffs
- Mentor team members through code reviews, documentation, and knowledge sharing—providing meaningful feedback, training newcomers on system architecture, and facilitating technical discussions that promote operational excellence
- Resolve operational issues by identifying root causes and implementing permanent fixes for compliance features, data deletion APIs, and customer opt-out mechanisms, going beyond quick workarounds
- Work directly with business application teams and stakeholders to understand requirements, translating them into technical solutions that balance customer needs with platform sustainability
- Take ownership of security implementations including encryption, access controls, audit trails, and PII handling, ensuring software can be maintained and extended by other engineers
- Drive improvements to self-service platforms and control planes, making priority tradeoffs between new feature development and operational work while maintaining governance standards
Qualifications
Minimum
- 3+ years of non-internship professional software development experience
- 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Working knowledge of AWS services for data processing and machine learning such as S3, SageMaker, and related data infrastructure
Preferred
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- * Production experience implementing data access controls, authorization systems, and multi-tenant data isolation
- Knowledge of PII handling, data pseudonymization, and privacy-preserving techniques
- Experience building self-service platforms and control planes for data platform management
- Experience with data lineage tracking, audit trails, and compliance reporting systems