Amazon Web Services, Inc.
Technology
SoftwareDevEngineerII,SecureCustomerContentStorageandAnalytics,AWSAppliedAISolution–CoreServices
Neural analysis suggests this role is
optimal for Mid candidates.
“Software Dev Engineer II, Secure Customer Content Storage and Analytics, AWS Applied AI Solution – Core Services at Amazon Web Services, Inc.. Skills: Secure data storage, AI-driven business applications, Machine learning platforms, Data access interfaces. Own and deliver software features for data storage. Provide flexible, secure, and compliant platforms”
Industry & Context.
Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
3+ years non-internship professional software development experience, 3+ years non-internship design or architecture experience, Experience with full software development life cycle, Working knowledge of AWS services for data processing and machine learning
Nice to Have
5+ years full software development life cycle 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
What You'll Do.
Own and deliver software features for data storage
and compliant platforms
and enhance storage and analytics platform
and operational excellence
Eliminate technical debt
Design and implement software solutions for data access
Implement authorization systems
Seek guidance from senior engineers
Mentor team members through code reviews
Provide meaningful feedback
Train newcomers on system architecture
Facilitate technical discussions
Resolve operational issues
Implement permanent fixes for compliance features
Implement data deletion APIs
Implement customer opt-out mechanisms
Work with business application teams and stakeholders
Understand requirements
Translate requirements into technical solutions
Balance customer needs with platform sustainability
Take ownership of security implementations
Implement access controls
Implement audit trails
Ensure software can be maintained and extended
Drive improvements to self-service platforms
Drive improvements to control planes
Make priority tradeoffs
Maintain governance standards
How You'll Work.
Team & Collaboration
Scientists and engineers; Business application teams; Stakeholders
Communication Scope
Knowledge sharing; Technical discussions; Documentation
Process & Methodology
Software development life cycle
Full Job Description
As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. 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. As a Software Development Engineer II, you'll take ownership of production systems that handle the complete data lifecycle—from ingestion through model training to customer opt-out controls. You'll maintain and refactor existing services for enhanced performance and scalability, while designing new solutions to meet emerging requirements from business application teams. Working alongside scientists and engineers, you'll enable them to build and improve AI models, balancing innovation with compliance requirements. This role offers exciting opportunities to solve complex challenges around secure data storage, efficient querying at scale, and building self-service platforms that empower development teams. You'll drive the evolution of established platforms to meet future
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