Sr. Sde/ Technical Architect - Global Catalog Selection Monitoring Technology Job in Amazon

DESCRIPTION

Amazons Selection Monitoring team has an opportunity for you. The Selection Monitoring team is responsible for making the biggest catalog on the planet even bigger. In order to drive expansion of the Amazon catalog, we use cluster-computing technologies like MapReduce, Spark and Hive to process billions of products and algorithmically find products not already sold on Amazon.
We work with structured and unstructured content such as text and images and apply machine-learning algorithms, such as classification, natural language and image processing. We are looking for SDEs to tackle difficult problems in the areas of data science and distributed systems of cloud-scale. The role demands a high-performing and flexible candidate who can take responsibility for success of the system and drive solutions from design to coding, testing and deployment.

BASIC QUALIFICATIONS

Bachelor's Degree in Computer Science with advanced degrees preferred.
Experience building complex software systems that have been successfully delivered to customers
8+ years of relevant work experience
Deep technical expertise and hands-on architectural understanding of cloud-scale distributed and service-oriented architectures.
Has delivered large-scale commercial enterprise software systems or large scale online services
Solid programming skills in Java and a deep understanding of object oriented design.

PREFERRED QUALIFICATIONS

Masters degree and/or PhD preferred in mathematics, computer science, or related discipline
Experience in building and driving adoption of new tools
A deep understanding of software development life cycle and a good track record of shipping software on time
Have had impact and influence across multiple teams
Expertise with data science, machine learning algorithms, natural language processing, computer vision.
Experience designing and implementing information retrieval and web mining systems.
- Experience with MapReduce, Spark, Hive and Scala.
Advanced knowledge of data structures and at ease in optimizing algorithms.
Knowledge of Linux/Unix and scripting on Perl/Ruby/Python.