Software Dev Engineer II, Secure Customer Content Storage and Analytics, AWS Applied AI Solution – Core Services

Amazon is hiring a Software Dev Engineer II, Secure Customer Content Storage and Analytics, AWS Applied AI Solution – Core Services in Seattle, United States. It pays $144k-$194k a year and Level rates it ; you can apply on Level.

Level's read on this job

Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
Tools and skills the posting cites include Sagemaker, AWS and Machine learning.
Level files it as a mid-level role.
Level lists 22,000+ other open roles at Amazon.
The role was posted in the last few days.

AI in this role

Build secure data storage and analytics platforms that power AWS AI-driven business applications as a Software Development Engineer II.

sagemakerawsmachine-learning

ai-safetydata-storagesoftware-developmentdata-engineeringcompliance

AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business functions. We create end-to-end products that surprise and delight out-of-the-box, making complex things easy and hard things possible, with no cloud experience required. We start with customers who embrace the future and build bridges to meet the rest where they are. We pursue ambitious opportunities with conviction, and we are looking for builders who share that mindset.

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 needs, directly impacting how AWS delivers increasingly sophisticated AI-powered capabilities while ensuring customers maintain complete control over their data throughout every stage of processing.

Key job 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

A day in the life
You'll participate in engineering standups, providing updates on data storage features and resolving platform blockers. Your hands-on work includes refactoring services for performance, implementing secure data interfaces, and ensuring compliance through quality code and testing. You'll collaborate with scientists and engineers, helping them navigate data access patterns and authorization requirements while mentoring teammates through code reviews. When production issues arise, you investigate root causes to maintain reliable data deletion and opt-out mechanisms. Regular syncs with business application teams help you translate evolving requirements into technical solutions that balance innovation with security and compliance, while also documenting features and training teammates on system lifecycles.

About the team
ABOUT AWS:

Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic 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
- 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 qualifications

- 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually

How we rate this

Software Dev Engineer II, Secure Customer Content Storage and Analytics, AWS Applied AI Solution – Core Services at Amazon rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Software Dev Engineer II, Secure Customer Content Storage and Analytics, AWS Applied AI Solution – Core Services is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $144k-$194k a year.
The role is based in US, WA, Seattle.
The job was posted on October 19, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI SafetyData StorageSoftware DevelopmentData EngineeringComplianceSagemakerAWSMachine learning

Questions you could be asked

How do you think about the risk of an AI system in this kind of role failing silently?
Tell me about a project where data storage was part of your work. What did you do?
Tell me about a project where software development was part of your work. What did you do?
Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where compliance was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Safety, Data Storage, Software Development, Data Engineering, and Compliance. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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