AI Platform Engineer II — Flexible Hours

Amazon Web Services (AWS); Seattle (WA); On-site; USD 144,000 - 194,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon Web Services, Inc. in Seattle, WA, is seeking a Software Development Engineer II to own production systems across the data lifecycle, from ingestion to model training, while ensuring security, privacy, and compliance. You will refactor services for performance and build new data-access interfaces.

Collaborate with scientists and engineers to enable AI model development within governance standards. Youll work on secure data storage, scalable queries, and self-service platforms that empower

Qualifications

• 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 with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Experience designing and implementing data storage systems, ETL pipelines, or machine learning infrastructure for model training and evaluation workflows.
• Proven track record building distributed systems with event‑driven architectures and APIs that operate reliably at enterprise scale.
• Experience with data security, privacy compliance, and implementing data retention/deletion mechanisms.
• Working knowledge of AWS services for data processing and machine learning such as S3, SageMaker, and related data infrastructure.

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

Skills

Distributed systems

Data security & privacy

Multi-tenant data isolation

Auth systems

Encryption & audit trails

Mentorship

Education

Bachelor's degree in Computer Science or equivalent

Tools

S3

SageMaker

Job description

Amazon Web Services, Inc. in Seattle, WA, is seeking a Software Development Engineer II to own production systems across the data lifecycle, from ingestion to model training, while ensuring security, privacy, and compliance. You will refactor services for performance and build new data-access interfaces.

Collaborate with scientists and engineers to enable AI model development within governance standards. Youll work on secure data storage, scalable queries, and self-service platforms that empower