Software Dev Engineer II, Foundational Services, AWS Applied AI Solution – Core Services
Amazon
- Location
- Onsite (Seattle, Washington)
- Compensation
- $143k - $194k/yr
- Employment
- Full-time
- Level
- Mid Level
Posted 1 day ago
About the Role
Join AWS Applied AI Solutions to build foundational services and agentic infrastructure that power secure, scalable AI-driven business applications. You will own data storage systems, identity management, and compliance tools while mentoring teams and driving operational excellence.
Skills
Software development
System architecture
Cloud computing
Data storage
Agentic infrastructure
Authorization systems
Compliance
Security implementation
Performance optimization
Scalability
API development
Data lifecycle management
Mentorship
Technical documentation
Machine learning
Identity management
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- 401(k) matching
- Paid time off
- Parental leave
- Life insurance
Perks
- Restricted stock units
- Sign-on payments
Full job details
As part of the AWS Applied AI Solutions (AAIS) 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 Foundational Services team within Applied AI Solutions and help build the secure, reliable ecosystem of tools, services, and frameworks that powers AAIS's AI-driven business applications. We own critical foundational infrastructure spanning seven core pillars: Identity, Data and Knowledge, Foundational Agents, Evaluation, Onboarding, User Experience, and Data Analytics and Observability. Our platform abstracts complexity and eliminates undifferentiated heavy lifting, enabling AAIS builder teams to focus on differentiated innovation and reducing development time from months to days. This includes event-based data stores, machine learning training platforms, agent frameworks, identity management systems, and data access interfaces that enable responsible AI development while maintaining the highest standards of privacy, security, and compliance.
As a Software Development Engineer II, you'll take ownership of production systems and developer-facing platforms that empower internal builder teams to rapidly develop AI-powered enterprise applications, rather than rebuilding common agentic infrastructure from scratch. You'll 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 foundational solutions to meet emerging requirements from application teams. Working alongside scientists and engineers, you'll enable them to build and improve AI agents and 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 agentic 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 and agentic infrastructure, from design through deployment and operations, ensuring they provide flexible, secure, and compliant platforms for AI-powered business applications
Maintain, refactor, and enhance existing foundational services and analytics platforms, identifying opportunities to improve performance, scalability, and operational excellence while eliminating technical debt
Design and implement software solutions for data access interfaces, agent frameworks, 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 internal builder teams and stakeholders to understand requirements, translating them into foundational tools and services 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 agentic 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 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.
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
Join our Foundational Services team within Applied AI Solutions and help build the secure, reliable ecosystem of tools, services, and frameworks that powers AAIS's AI-driven business applications. We own critical foundational infrastructure spanning seven core pillars: Identity, Data and Knowledge, Foundational Agents, Evaluation, Onboarding, User Experience, and Data Analytics and Observability. Our platform abstracts complexity and eliminates undifferentiated heavy lifting, enabling AAIS builder teams to focus on differentiated innovation and reducing development time from months to days. This includes event-based data stores, machine learning training platforms, agent frameworks, identity management systems, and data access interfaces that enable responsible AI development while maintaining the highest standards of privacy, security, and compliance.
As a Software Development Engineer II, you'll take ownership of production systems and developer-facing platforms that empower internal builder teams to rapidly develop AI-powered enterprise applications, rather than rebuilding common agentic infrastructure from scratch. You'll 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 foundational solutions to meet emerging requirements from application teams. Working alongside scientists and engineers, you'll enable them to build and improve AI agents and 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 agentic 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 and agentic infrastructure, from design through deployment and operations, ensuring they provide flexible, secure, and compliant platforms for AI-powered business applications
Maintain, refactor, and enhance existing foundational services and analytics platforms, identifying opportunities to improve performance, scalability, and operational excellence while eliminating technical debt
Design and implement software solutions for data access interfaces, agent frameworks, 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 internal builder teams and stakeholders to understand requirements, translating them into foundational tools and services 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 agentic 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 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