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Software Development Engineer, Data Center Builder Tools

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: Socket.dev
Full Time position
Listed on 2026-08-30
Job specializations:
  • Software Development
    DevOps, Cloud Engineer - Software, AWS, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 144000 - 194000 USD Yearly USD 144000.00 194000.00 YEAR
Job Description & How to Apply Below

Final date to receive applications:
Aug 30, 2026

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.

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…

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