Level

AmazonPosted 3d ago

L4

Software Development Engineer, PXT Central Science

Software Development Engineer, PXT Central Science at Amazon scores 80 out of 100 on AI centrality, which makes it a Level 4 role on this board.

US, WA, Bellevuemidfull-time$144k-$194k

AI in this role

Build scalable production systems and microservices that turn machine learning and Generative AI models into solutions for Amazonians.

javaaws-lambdaec2s3dynamodb
software-developmentdistributed-systemsmicroservicesmachine-learninggenerative-ai
Amazon's People Experience and Technology Central Science (PXTCS) team uses economics, behavioral science, statistics, machine learning, and Generative AI to proactively identify mechanisms and process improvements that simultaneously improve Amazon and the lives, well-being, and value of work for Amazonians. PXTCS is an interdisciplinary team that combines the talents of science, engineering, and UX to build and deliver solutions that measurably achieve this goal — at a scale that touches over 1.5 million Amazonians worldwide.

As a Software Development Engineer on PXTCS, you'll work side by side with economists, data scientists, data engineers, and applied scientists turning leading-edge ML and Generative AI models into reliable, scalable production systems.

This is a rare chance to see your code directly shape how Amazon supports its workforce, spanning areas like benefits, compensation, recruiting, voice of employee, management practices, and organizational culture. We offer opportunities for builders to build and make history!

About the team
PXTCS combines economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements that improve both Amazon's operations and the experience of every Amazonian. Its engineering teams take science-driven insights and models — spanning areas like benefits, compensation, recruiting, voice of employee, management practices, and organizational culture — and turn them into production systems operating at Amazon's scale. PXTCS is an interdisciplinary group where engineering, applied science, and product work side-by-side, and where this team's output directly shapes how Amazon supports its workforce.

Key job responsibilities
- Work with teams across the org to deliver large distributed projects to delight our customers
- Write high-quality, efficient, testable code in Java and other object-oriented languages
- Build highly available, secure, systems in a microservices architecture
- Collaborate with some of the best engineers in the industry
- Own and operate the systems that you build
- Contribute to planning, design, implementation, testing, operations, and process improvement
- Get firsthand experience engineering client apps as well as AWS services such as Lambda, EC2, S3, DynamoDB and others

A day in the life
- Find out what it takes to engineer systems for "Amazon Scale"
- Contribute to planning, design, implementation, testing, operations, and process improvement
- Get firsthand experience engineering client apps as well as AWS services such as Lambda, EC2, S3, DynamoDB and others

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
- 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, WA, Bellevue - 143,700.00 - 194,400.00 USD annually

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A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Software DevelopmentDistributed SystemsMicroservicesMachine LearningGenerative AIJavaAws LambdaEc2

Questions you could be asked

  1. Tell me about a project where software development was part of your work. What did you do?
  2. Tell me about a project where distributed systems was part of your work. What did you do?
  3. Tell me about a project where microservices was part of your work. What did you do?
  4. Tell me about a project where machine learning was part of your work. What did you do?
  5. Tell me about a project where generative ai was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Software Development, Distributed Systems, Microservices, Machine Learning, and Generative AI. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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