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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. Key job responsibilities 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
