Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ PYPL) is committed to demoCompanytizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal's 305 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom enables consumers and merchants to receive money in more than 100 currencies, witCompanyaw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies.
Global Data Sciences (GDS) is the largest group in PayPal's Enterprise Services organization. The team comprises data researchers, analysts, Organizationelers, and software engineers. GRDS is in charge of implementing unique, best-of-breed fraud-detection algorithms using cutting-edge technologies, and delivering systems which are highly available, scalable, distributed, and process data at web scale to aid in detecting and preventing all forms of fraud and risk affecting the PayPal $240B payments network. As an architect, you will work closely with developers and data scientists to design, state-of-the-art, large scale analytics systems leveraging Graph processing, text mining, Companywling and machine learning techniques. This is a unique opportunity to join the Architecture and Product team which is responsible for overlooking GDS technology, architecture and product design. If you are passionate about technology and architecture, love hands-on development and want to build scalable, highly available systems - you should come work with us.
Work with the development and data science teams to design scalable data driven analytical solutions and infrastructures, including technical feasibility and proposal development for Big Data storage, processing and consumption
Design, coordinate and execute pilots, prototypes or proof of concepts to evalue new technologies and frameworks
Promote technical best practices, industry standards and architectural concepts with engineering teams
Provide profiling and optimization guidance and tuning tips and tricks
At least 5 years experience in large scale, production, server side development on the JVM
4 years experience working with Big Data technologies such as spark, Hadoop, H-base, k-v stores.
A passion for architecture and for developing robust, scalable software systems
Technology geek - very significant advantage
Hands on experience in DevOps practices - significant advantage.
Excellent verbal and written communication
Highly motivated, goal driven, Can-do approach, curious and open minded
Innovative, entrepreneurial, ability to multi-task
Fun to work with
Were a purpose-driven company whose beliefs are the foundation for how we conduct business every day. We hold ourselves to our One Team Behaviors which demand that we hold the highest ethical standards, to empower an open and diverse workplace, and strive to treat everyone who is touched by our business with dignity and respect. Our employees challenge the status quo, ask questions, and find solutions. We want to break down barriers to financial empowerment. Join us as we change the way the world defines financial freedom.