SDE II: Secure Data Storage & Analytics (Flexible Hours)

Amazon Web Services (AWS); Santa Clara (CA); On-site; USD 165,000 - 224,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services, Inc. in Santa Clara, CA is seeking a Software Development Engineer II to own production systems across the data lifecycle—from ingestion through model training to customer opt-outs.

You’ll refactor services for performance and scalability and work with scientists and engineers to enable AI model development. You will design data access interfaces, implement security controls, and drive self-service platforms while balancing innovation with privacy, governance, and

Qualifications

• 3+ years of non-internship software development
• Experience designing and implementing data storage systems, ETL pipelines, or ML infrastructure
• Proven track record building distributed systems with event-driven architectures and APIs
• Experience with data security, privacy compliance, and data retention/deletion mechanisms

Responsibilities

• Own and deliver complete software features for event-based data storage systems from design through deployment and operations
• Maintain, refactor, and enhance existing storage and analytics platform for performance, scalability, and operational excellence
• Design and implement data access interfaces and authorization systems within established architectural strategies
• Mentor team members through code reviews, documentation, and knowledge sharing

Skills

SDLC experience

Distributed systems

Data security

AWS data services

Education

Bachelor's degree in CS or related

Tools

S3

SageMaker

Data pipelines

Job description

Amazon Web Services, Inc. in Santa Clara, CA is seeking a Software Development Engineer II to own production systems across the data lifecycle—from ingestion through model training to customer opt-outs.

You’ll refactor services for performance and scalability and work with scientists and engineers to enable AI model development. You will design data access interfaces, implement security controls, and drive self-service platforms while balancing innovation with privacy, governance, and