Software Development Engineer: AI-Driven Data Center Tools

Amazon Inc.

Denver (CO)

On-site

USD 144,000 - 194,000

Full time

3 days ago

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Job summary

Amazon Web Services, Inc. is seeking a Software Development Engineer to help build Data Center Builder Tools that run at global scale.

You will design, develop, and maintain complex software powering AWS data center devices and cloud services, collaborating with hardware engineers, data center operations, and security specialists. You’ll apply AI-assisted development tools, advance CI/CD pipelines, and participate in on-call rotations to improve availability.

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.

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.