Role at a glance
- Job function
-
Software Engineering & IT Software Engineering
- Salary
- Not Disclosed
- Location
- Seattle, Washington, United States
- Work arrangement
- On-site
- Education
- Bachelor's
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Qualifications
Required
- 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
- 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
About the role
Original posting provided by amazon
At Amazon, data is critical to everything we do — from understanding product inventories across our global fulfillment centers to predicting what products to recommend to customers. It ceaselessly informs our flywheel, helping us understand customer needs, onboard new sellers and selection, and identify opportunities for cost savings. Business Data Technologies (BDT) makes this possible by providing trustworthy, intuitive, and cost-efficient solutions for Amazonians to secure, store, analyze, and transform data at unparalleled scale. BDT owns, develops, and operates Andes — one of the largest data lakes in the world — storing 3+ exabytes of data, read and written to by 100k+ data pipelines, with over 60k monthly active users.
Within BDT, the AI4ME organization works to bring AI-centric methodologies and automations to Amazon teams that need to connect their business objectives with their data architectures. Our mission is to lower the cognitive load required to bridge business and data — through best-in-class agents and AI-ready metadata — so that anyone at Amazon can access data and gain insights without specialized expertise.
As a Software Development Engineer II on this team, you will design and build the scalable components and features that power our data catalog, data discovery, and data transformation products. This is a hands-on role spanning the full software development lifecycle: working backwards from customer needs, designing solutions, writing code, testing, deploying, and operating production systems. You will collaborate directly with the engineers, scientists, and analysts who depend on our platform, while mentoring fellow engineers and shaping the technical direction of the team.
Key job responsibilities
• Design and implement scalable distributed systems for large-scale data processing, translating complex functional and technical requirements into clear architecture and well-structured code.
• Partner with internal customers, stakeholders, and peers to understand their data needs and deliver solutions that improve their ability to access and analyze data effectively.
• Contribute across the full software development lifecycle — including design, code review, testing, deployment, and operational support — while identifying and resolving the root causes of operational issues.
• Mentor engineers through code reviews, design discussions, and knowledge sharing, helping build a strong engineering culture.
• Evaluate emerging technologies and approaches in data processing and AI, making recommendations for adoption that keep the team's tools and practices current.
A day in the life
You might start your morning reviewing a design document for a new feature, then jump into a code review with a teammate before writing code for a feature that helps internal teams query data more efficiently. After lunch, you could pair with a colleague to troubleshoot an operational issue, identify its root cause, and implement a permanent fix. Throughout the day, you will balance new feature development with operational improvements and regularly connect with the engineers and analysts who rely on the systems you build.
About the team
Our team builds and evolves Amazon's Enterprise Data Lake platform, making it easier for thousands of teams to produce, discover, and process analytical data at massive scale. We are developing next-generation data catalog, discovery, and transformation products that serve a broad range of technical users across the company.
We value collaboration, mentorship, and continuous learning. Whether you are reviewing a design with a senior engineer or onboarding a new team member, you will find an inclusive environment where knowledge sharing is part of the daily rhythm. If you are excited about solving hard problems that impact Amazon at scale, we would love to hear from you.
- 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
- 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.
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
Within BDT, the AI4ME organization works to bring AI-centric methodologies and automations to Amazon teams that need to connect their business objectives with their data architectures. Our mission is to lower the cognitive load required to bridge business and data — through best-in-class agents and AI-ready metadata — so that anyone at Amazon can access data and gain insights without specialized expertise.
As a Software Development Engineer II on this team, you will design and build the scalable components and features that power our data catalog, data discovery, and data transformation products. This is a hands-on role spanning the full software development lifecycle: working backwards from customer needs, designing solutions, writing code, testing, deploying, and operating production systems. You will collaborate directly with the engineers, scientists, and analysts who depend on our platform, while mentoring fellow engineers and shaping the technical direction of the team.
Key job responsibilities
• Design and implement scalable distributed systems for large-scale data processing, translating complex functional and technical requirements into clear architecture and well-structured code.
• Partner with internal customers, stakeholders, and peers to understand their data needs and deliver solutions that improve their ability to access and analyze data effectively.
• Contribute across the full software development lifecycle — including design, code review, testing, deployment, and operational support — while identifying and resolving the root causes of operational issues.
• Mentor engineers through code reviews, design discussions, and knowledge sharing, helping build a strong engineering culture.
• Evaluate emerging technologies and approaches in data processing and AI, making recommendations for adoption that keep the team's tools and practices current.
A day in the life
You might start your morning reviewing a design document for a new feature, then jump into a code review with a teammate before writing code for a feature that helps internal teams query data more efficiently. After lunch, you could pair with a colleague to troubleshoot an operational issue, identify its root cause, and implement a permanent fix. Throughout the day, you will balance new feature development with operational improvements and regularly connect with the engineers and analysts who rely on the systems you build.
About the team
Our team builds and evolves Amazon's Enterprise Data Lake platform, making it easier for thousands of teams to produce, discover, and process analytical data at massive scale. We are developing next-generation data catalog, discovery, and transformation products that serve a broad range of technical users across the company.
We value collaboration, mentorship, and continuous learning. Whether you are reviewing a design with a senior engineer or onboarding a new team member, you will find an inclusive environment where knowledge sharing is part of the daily rhythm. If you are excited about solving hard problems that impact Amazon at scale, we would love to hear from you.
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, WA, Seattle - 143,700.00 - 194,400.00 USD annually
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.