Software Development Engineer, Data Center Engineering Analytics

Amazon Web Services (AWS); Atlanta (GA); On-site; USD 144,000 - 194,000; Full time

Benefits offered by this job

RSUs

Health insurance

Job summary

Amazon Data Services, Inc. in Atlanta, GA seeks a Software Development Engineer to build scalable data analytics platforms for AWS data centers. You will develop data pipelines and tooling to harness operational data and ensure data reliability for decision making.

You will partner with data engineers, BI engineers, and TPMs to deliver end-to-end solutions, design APIs, and explore AI-assisted enhancements to optimize center operations at scale.

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years in design or architecture of large-scale systems.
• 1+ year in distributed software applications or services.

Responsibilities

• Design, develop, and maintain scalable data analytics platforms.
• Develop APIs and integrations to connect tools with enterprise platforms.
• Build automated reporting systems for data center performance metrics.
• Develop ML models or AI tools to optimize operations.
• Collaborate with data engineers, BI engineers, and TPMs to deliver end-to-end solutions.
• Lead design reviews and provide architecture guidance.
• Drive generative AI tooling and automation for data center workflows.
• Write clean, well-documented code following best practices.

Skills

Software development experience

Design/architecture experience

OO design

Programming languages (C#, C++, Java,-

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field

Bachelor's degree in computer science or equivalent

Tools

C#

C++

Java

Perl

Job description

Amazon is looking for a highly analytical Software Development Engineer to join the AWS Data Center Engineering team. The Data Center Engineering team owns the availability of AWS data centers, and has a direct impact on the customer experience. We obsess over customers by developing the most advanced engineering solutions that result in world class uptime, while continuously reducing costs for our customers. Amazon offers a fast paced, fun, and exciting work environment. We continue to grow at exponential rates and are looking for individuals that can support our speed to market, enjoy a challenge, and have a desire for professional growth and continuous learning experiences.

As a Software Dev Engineer, you will partner with Data Engineers and partner teams to build tooling and Gen AI models to harness the vast amount of operational data from the AWS fleet. You will own the timely delivery of such data for use in downstream business intelligence solutions, as well as all necessary actions to ensure the reliability of data provided for business decision making. Data analysis is at the core Amazon’s culture, and your work will have a direct impact on decision making and strategy for our organization.

The ideal candidates will have excellent analytical abilities, curiosity, and strong technical skills. They will have a strong bias toward data driven decision making, and building scalable data pipelines and systems to facilitate such decision making. They will be a self-starter; comfortable with ambiguity; able to think big and be creative, while exercising strong judgment and good instincts to be right a lot. The ideal candidate is motivated by delivering high-quality and innovative solutions within timeframes that most think are impossible. If you are excited about using data to look around corners and drive engineering solutions that are the foundation of AWS data centers, this role is for you!

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.

Key job responsibilities

• Design, develop, and maintain scalable data analytics platforms and tools that support data center operations and engineering workflows
• Develop APIs and integrations to connect field service engineering tools with enterprise platforms
• Build automated reporting systems to monitor data center performance, capacity, and efficiency metrics
• Develop machine learning models or AI-assisted tools to optimize data center operations
• Work closely with data engineers, business intelligence engineers, and TPMs to deliver end-to-end solutions
• Lead design reviews and provide technical guidance on architecture decisions
• Drive innovation in generative AI tooling and automation for data center workflows

Write clean, maintainable, and well-documented code following software engineering best practices

About The Team

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 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.

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
• 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
• 1+ years of Object Oriented Design experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• Experience programming with at least one software programming language

Preferred Qualifications

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent

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, GA, Atlanta - 143,700.00 - 194,400.00 USD annually

Company - Amazon Data Services, Inc.

Job ID: A10446027