Software Development Engineer, Data Center Builder Tools

Application deadline: Apr 2, 2026

Data Center Builder Tools owns the services that manage industrial control systems across AWS data centers worldwide. We're looking for a self-directed Software Development Engineer to work on our device manager service - the service that keeps thousands devices in AWS data centers running the right software, at the right version, at global scale. Your work will directly support Amazon's goal of running the safest, most reliable, and efficient data centers on Earth.

You'll harness modern AI-assisted development tools - including generative-AI coding assistants, intelligent test generation, and ML-driven operational insights - to accelerate delivery and raise the quality bar.

• Leverage your expertise in systems automation, software and test automation, and mission-critical systems at scale
• Apply AI and machine learning tools to streamline development workflows, automate code reviews, and enhance system reliability
• Implement Amazon's software development principles to increase the security, availability, and simplicity of industrial controls in our data centers
• Work alongside a talented, cross-functional team of hardware engineers, data center operations, and security specialists

If you love building software that makes a real-world impact - and you're excited about using the latest AI tools to ship faster and smarter - you'll thrive here. This team directly powers the infrastructure behind AWS, and your work will be felt at global scale.

Key job responsibilities

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.

BASIC QUALIFICATIONS

• 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

PREFERRED QUALIFICATIONS

• 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 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, CO, Denver - 143,700.00 - 194,400.00 USD annually