Amazon Software Development Manager AET CST ACE 

United States, Washington, Seattle 

663030326

In this role you will work in a multidisciplinary team of Developers, Scientists, and Data Engineers to build solutions at the crossroads of Engineering and Science. You will be developing scalable solutions using data to solve critical data science problems in translation, intelligent routing, text autocompletion, etc., and push the state of the art in natural language processing, machine learning and distributed systems.Key job responsibilities
Lead a team of Engineers to develop infrastructure and services at the intersection of machine learning, big data, and distributed systems. Our products and services empower hundreds of science teams across Amazon to deliver machine learning at scale for ML model training, Feature engineering and Data quality monitoring. You will be at the center stage for managing machine learning lifecycle and operations using AWS AI services, DL compute resources, and our core search backend services for query understanding, semantic matching, and relevance ranking. You will drive to provide a world class platform for Amazon Search engineers to comprehensively observe and introspect their applications and services both pre and post deployment to our large scale inference services. You will build scalable data-intensive infrastructure that processes huge amounts of logs, catalogs, transactional data, and telemetry signals. By doing so, we enable teams to become more data-driven and build robust and explainable ML services. You will work with partners on data experimentation to advance Amazon product search, making it available across all geographic regions with variety of product search and discovery use cases across many categories.

- 5+ years of leading development of applications backed by AWS services or using other cloud based technologies and services experience

- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations