Amazon's AGI Information org is seeking a highly skilled and experienced Software Development Engineer to drive the development of industry-leading Knowledge Graph systems. As a key member of AGI Information Web & Knowledge Services team, you will play a critical role in advancing AI/ML technologies that enable customers to leverage billions of facts stored in knowledge graphs.

You will have an opportunity to directly impact the customer experience, design, architecture, and implementation of products that will be used every day by people you know. We're looking for someone passionate about innovating on behalf of customers, who demonstrates strong product ownership and is willing to think in new ways to solve difficult problems.

You will have track record of success in delivering new products, solving problems, and learning new technologies quickly. A commitment to teamwork, proactive approach to solving problems, and strong verbal and written communication skills are essential. Creating reliable, scalable, and high-performance products requires technical expertise, understanding of computer science fundamentals, and practical experience building efficient large-scale systems. This person is comfortable delivering quality solutions in a fast-growing environment where priorities may change rapidly.


Key job responsibilities
- Design and implement high-throughput, cost-effective data pipelines to extract, transform, and load (ETL) data and facts from structured and semi-structured knowledge sources.
- Write high quality, well-tested production code in languages like Java and Python. Knowledge of Spark and Scala is a plus.
- Work closely with scientists and other engineers to develop state-of-the-art streaming algorithms to process large datasets in real-time, including tasks such as deduplication, topic clustering, and entity resolution.
- Build, extend, and maintain an existing codebase while also designing and developing new software components.
- Participate in prioritization, estimation, and sprint planning. Work in an Agile/Scrum environment to deliver high quality software against aggressive schedules.