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.
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.
Diverse Experiences*
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Work/Life Balance*
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture*
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth*
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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
