Software Development Engineer, Data Center Builder Tools

Amazon • Denver, CO

3d

About The Position

AWS Infrastructure Services owns the design, planning, delivery, and operation
of all AWS global infrastructure. In other words, we're 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 we're
looking for talented people who want to help.

You'll join a diverse team of software, hardware, and network engineers, supply
chain specialists, security experts, operations managers, and other vital roles.
You'll 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 you'll experience an inclusive
culture that welcomes bold ideas and empowers you to own them to completion.

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.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level