Retail Category Management: Grocery, Household & Personal Goods
Seattle, Washington
Services Engineering team Machine Learning (ML)
Are you interested in being part of a fast paced technology company with the largest e-commerce platform in the world, and build scalable AI systems that protect customers to earn their trust? You will be building scalable systems that use Machine Learning (ML) to continuously learn and prevent malicious actors, and preserve customer trust. You will have to solve tough scalability problems and use the right tools to support rapid business growth. Group Overview Customer Trust and Partner Support (CTPS) is the organization that constantly makes high judgment decisions across a wide breadth of constituents. We build and deliver services for Buyers, Sellers, Vendors and other customers. We ensure that Amazon is a safe and trustworthy place to shop and an amazing place to build a successful business selling products. We support our many partners in this journey. We face constant trade-offs and competing objectives that we need to appropriately balance. We have to do all of this at high scale
BASIC QUALIFICATIONS 1. A Bachelor's degree in computer science or related field. 2. 3+ years of industry experience building successful production software systems. 3. Strong, object-oriented design and coding skills (C/C++ and/or Java preferably on a UNIX or Linux platform) Experience with large-scale multi-tiered systems and service-oriented architecture. PREFERRED QUALIFICATIONS 1. Master's degree in Computer Science or equivalent with 2+ years of industry experience. 2. Experience delivering high-volume production software services in a Linux environment for 2 years. 3. Experience in Scrum
Senior Software Development Engineer
Services Engineering team |
Software Development |
Retail Category Management: Grocery, Household & Personal Goods |