Software Development Engineer, Eva

AWS Infrastructure Services owns the design planning delivery and operation of all AWS global other words were the people who keep the cloud running. We support all AWS data centers and all of the servers storage networking power and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems with thousands of variables impacting the supply chain and were looking for talented people who want to help.

Youll join a diverse team of software hardware and network engineers supply chain specialists security experts operations managers and other vital roles. Youll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And youll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

About the Data Center Gen AI Team
Join the Data Center Gen AI team where we build generative AI solutions for AWS data centers. Our systems orchestrate physical work processes across AWSs worldwide data centers directly impacting millions of customers who rely on AWS services.

Position Impact
Youll contribute to transforming data center operations through AI/ML innovations helping build the platform primitives that dozens of teams across the Data Center Community rely on. Youll work on developing intelligent systems that optimize technician workflows automate decision-making processes and enhance operational efficiency across AWSs global infrastructure while supporting AI-powered capabilities for a 30K globally distributed user base.

Strong familiarity with one or more of the following:
- Generative AI / Agentic Systems LLM integration prompt engineering RAG architectures tool-calling patterns agent frameworks (Strands LangChain)
- Full-Stack Serverless Engineering AWS Lambda API Gateway CloudFront DynamoDB/RDS EventBridge SQS CDK Infrastructure-as-Code
- Frontend & SDK Development React TypeScript Cloudscape Design System component library development streaming interfaces (SSE)
- Search & Knowledge Systems OpenSearch/Elasticsearch vector embeddings hybrid retrieval document processing pipelines semantic chunking
- ML & Data Engineering SageMaker time-series analysis anomaly detection classification models feature engineering ETL pipelines
- Platform & DevOps CI/CD pipeline development progressive deployment synthetic monitoring observability (CloudWatch X-Ray OpenTelemetry)

Ideal Candidate Profile
- Thrives in ambiguous environments and is eager to learn and adapt quickly
- Demonstrates a bias for action with the ability to deliver results in fast-paced settings
- Builds and maintains solid technical depth while staying customer-focused
- Shows genuine curiosity and enthusiasm for AI/ML advancements
- Has working knowledge of AI/ML technology application (LLMs agents RAG Skills ML models)
- Takes ownership of features and components end-to-end driving them to completion with guidance from senior engineers
- Balances pragmatic execution with creative problem-solving

This role offers the opportunity to contribute to the future of AWS data center operations through innovative AI/ML solutions while working with advanced technologies at unprecedented scale.

Key job responsibilities
- Design and develop AI/ML platform features and solutions contributing to systems that serve both data center operations and engineering teams
- Own end-to-end delivery of features and components including AI integrations deployment pipelines and user-facing interfaces for non-ML experts
- Collaborate with senior engineers and cross-functional partners to integrate ML solutions into existing DC workflows ensuring system quality and scalability
- Write clean well-tested and maintainable code while actively contributing to improvements in development processes particularly for GenAI development and deployment
- Participate in technical design discussions and code reviews bringing a customer-focused perspective to architectural decisions
- Design and implement reusable components and tools that enhance team productivity and system reliability
- Stay current with AI/ML advancements and proactively identify opportunities to apply new techniques to data center challenges

About the team
About AWS

Diverse Experiences
AWS 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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

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

Inclusive Team Culture
Here at AWS its 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 (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.

- 3 years of non-internship professional software development experience
- Experience programming with at least one modern language such as Java C or C# including object-oriented design
- 1 years of designing and developing large-scale multi-tiered multi-threaded embedded or distributed software applications tools systems and services using: C# C Java or Perl experience
- Bachelors degree or foreign equivalent in Computer Science Engineering Mathematics or a related field

- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Experience with Machine Learning and Large Language Model fundamentals including architecture training/inference lifecycles and optimization of model execution

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 for more information. If the country/region youre applying in isnt 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 WA Bellevue - 143700.00 - 194400.00 USD annually

Required Experience:

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