Position requires a Bachelor’s Degree in Computer Science, Engineering, or a related field with good mathematical foundation followed by 5-6 years industry experience building data driven products and have implemented machine learning algorithms and techniques.
Good in Computer Science fundamentals in object-oriented design, data structures, algorithm design, complexity analysis, problem solving and diagnosis
Adept at any one of the programming language Java/Python and Open to learn new programming languages.
Comfortable in Big Data Technologies/ Frameworks (Hadoop, Spark, HDFS, Hive, Sqoop, Flume, Oozie, etc)
Well conversant with Linux / Unix tools
Experience working with distributed systems using Spark, Hive in Hadoop at significant scale in a production environment.
Well conversant with any one of version control capabilities like github, bitbucket and SVN.
Good oral and written communication skills as well as interpersonal and multi-tasking skills.
BS/MS degree in Computer Science
Experience in application development and integration within one or more Iaas/ Paas platforms such as (Amazon Web Services, VMWare, OpenStack, etc.).
Experience building fast and scalable machine learning and analytical algorithms and executing all tasks from design to deployment and monitoring
Experience in developing Web services, micro-services, and REST
Work on in house applications written in Node.js, Go and Java.
You will be primarily responsible for building the infrastructure that is highly available and scalable.
You will utilize your experience and work in cloud technologies such as Docker, Mesos , Aurora, Hadoop/Storm, developer tools such as Jenkins and proprietary technologies to build the next generation of PayPal Development pipeline and build systems.
You will help pick machine learning algorithms to create smart metrics that will guide current and future investments.