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# Software Development Engineer, Eva Development Team

- **Company:** Amazon.com, Inc.
- **Location:** Bellevue, WA, United States
- **Salary:** $143,700.0 - $194,400.0
- **Contract:** Internship / Graduate position
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Amazon Cloudfront, Software Applications, C Sharp (Programming Language), C++ (Programming Language), Code Review, Computer Programming, Data Centers, Information Engineering, Extract Transform Load (ETL), Amazon DynamoDB, Elasticsearch, Perl (Programming Language), Knowledge-Based Systems, Machine Learning, Object-Oriented Software Development, Azure Machine Learning, Software Engineering, Data Streaming, TypeScript, Multithreading, Feature Engineering, ReactJS, Delivery Pipeline, Large Language Models, Multi-Agent Systems, Prompt Engineering, Reliability of Systems, Generative AI, AWS Lambda, Material UI, Information Technology, AWS Data Analytics, Build Process, Front End Software Development, Cloudwatch, Api Gateway, Software Coding, Amazon Simple Queue Service (SQS), Software Version Control, Data Pipelines, Serverless Computing
- **Published:** September 17, 2026
- **Apply:** https://dejobs.org/x/x/2A5EF4EDA8DB40768198F4C0A2421B71/job/

## About the Role

* 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., * 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
 * Bachelor's 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

## Description

You'll 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. You'll work on developing intelligent systems that optimize technician workflows, automate decision-making processes, and enhance operational efficiency across AWS's 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), * 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