> Markdown version of [/jobs/ext/2279954-software-development-engineer-amazon-selection-monitoring](https://www.wearedevelopers.com/jobs/ext/2279954-software-development-engineer-amazon-selection-monitoring). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Development Engineer, Amazon Selection Monitoring - **Company:** Amazon.com, Inc. - **Location:** Seattle, WA, United States - **Salary:** $143,700.0 - $194,400.0 - **Contract:** Internship / Graduate position - **Skills:** Java (Programming Language), Software Applications, Big Data, C Sharp (Programming Language), C++ (Programming Language), Code Review, Computer Programming, Software Design Patterns, Distributed Computing Environment, Distributed Systems, Perl (Programming Language), Fault Tolerance, Machine Learning, Object-Oriented Software Development, Software Engineering, Multithreading, Large Language Models, Session Description Protocol Security Descriptions (SDES), Semi-structured Data, Information Technology, Build Tools, Build Process, Software Coding, Software Version Control, Serverless Computing, Programming Languages - **Published:** August 28, 2026 - **Apply:** https://www.amazon.jobs/en/jobs/10515630/software-development-engineer-amazon-selection-monitoring ## About the Role 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 ## Description Amazon's Selection Monitoring team is responsible for making the biggest catalog on the planet even bigger. Our systems process billions of products to algorithmically find products not already sold on Amazon and programmatically add them to the Amazon catalog. We apply distributed processing, machine learning and LLMs to identify and prioritize products and brands we should add to Amazon's catalog. Teams across Amazon worldwide consume our datasets and systems to improve: product information, search and discoverability, pricing, and delivery experience. Our work involves building LLM based systems to mine the web and automatically create structured entities from un-structure/semi-structured data. We constantly stretch the boundaries of large-scale distributed systems, Elastic Computing and Big Data to tackle challenges at Amazon's global scale. Come join us in our journey to make everything - and yes, we do mean *everything* - that anyone wants to buy, available on Amazon! We are looking for a Software Development Engineer (SDE) to tackle difficult problems in the areas of distributed systems, efficient large-scale data processing, data dependency and flow control systems, flexible and serverless compute with impact across Amazon. This is a tremendous opportunity for SDEs who want to build reliable and scalable solutions to enhance selection for our customers., Partner with Principal Engineers, Sr.SDEs, and Product and Applied Scientists to define build systems for Selection Monitoring's mission-critical systems driving the brand and product experience on Amazon. Deliver and own scalable, fault-tolerant, and highly available services that underpin our large-scale data processing solutions. Develop solutions to efficiently deploy and orchestrate hundreds of application flows across a hybrid set of compute environments. Build solutions using LLMs and ML models. Drive operational excellence initiative and continuously improve quality bar for software delivered by the team. ## Related Videos - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Fireside Chat with Werner Vogels, VP & CTO, Amazon.com & Daniel Gebler, CTO at Picnic](https://www.wearedevelopers.com/videos/1405-fireside-chat-with-werner-vogels-vp-cto-amazon-com-daniel-gebler-cto-at-picnic) - [Are Code Reviews Worth It? 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