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# Software Development Engineer, Data Center Builder Tools

- **Company:** Amazon.com, Inc.
- **Location:** Denver, CO, United States
- **Salary:** $143,700.0 - $194,400.0
- **Contract:** Internship / Graduate position
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Cloud Computing, Cloud Engineering, Code Review, Data Centers, Software Design Documents, Software Design Patterns, Programming Tools, Firmware, Python (Programming Language), Rapid Prototyping Process, Cloud Services, Software Construction, Software Engineering, Cloud Platform System, System Availability, Build Management, Information Technology, Deployment Automation, Process Control Systems, Maintaining Code, AWS Data Analytics, Build Process, Software Coding, Software Version Control
- **Published:** August 26, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/27966072/Software-Development-Engineer-Data-Center-Builder-Tools-Colorado-Denver-7375

## About the Role

3+ years of non-internship professional software development experience

 - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
 - 1+ years of software development engineer or related occupational experience
 - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
 - 1+ years of Python experience, 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
 - Experience working in the hardware or software lab
 - Experience working with Rust programming language

## Description

As a Software Development Engineer, you will design, develop, and maintain complex software systems powering AWS Data Center industrial controls. Core responsibilities include:

 - Design and build scalable software that runs both on data center devices and in the cloud services that manage them
 - Integrate AI-powered development tools into daily workflows - using generative-AI coding assistants for rapid prototyping, AI-driven test generation for broader coverage, and ML-based anomaly detection to proactively identify production issues
 - Drive technical design decisions, author design documents, and lead code reviews with a focus on security, reliability, and operational excellence
 - Build and maintain CI/CD pipelines that leverage automated quality gates, intelligent deployment strategies, and AI-assisted release validation
 - Collaborate with product managers, hardware engineers, data center operations, and security specialists to translate requirements into production-ready solutions
 - Mentor junior engineers on software engineering best practices, including effective use of AI tools while maintaining code ownership and understanding
 - Continuously evaluate emerging technologies - particularly in AI/ML tooling, automation frameworks, and cloud-native architectures - and advocate for their adoption where they raise the team's quality and velocity
 - Participate in on-call rotations and operational reviews, using data-driven insights to improve system availability and reduce mean time to resolution

A day in the life
Your main focus is building software that runs on physical equipment in data centers and in the cloud - you'll design, code, and ship it end to end. You'll work closely with hardware engineers, operations teams, and other developers to solve real problems together. AI-assisted tools are part of your daily toolkit - helping you prototype faster, write better tests, and review code more efficiently. Beyond your core work, you'll mentor teammates, improve how the team builds software, and help shape where the engineering organization is headed next.

About the team
Cosmos, a team within Data Center Builder Tools, builds the services that provision, deploy, and update operating systems and firmware across devices in AWS data centers. We develop both cloud-based services and on-device agents that internal engineering teams and on-site operators rely on to manage the full device lifecycle. Our tools power the industrial controls systems running in data centers worldwide.

*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.


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