PayPal Recruitment for Software Engineers at Hyderabad

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PayPal is looking for a Software Engineer to work on challenging problems in developing and scaling our fraud prediction engine. We are developing an analytics platform that lets analysts review, monitor, and identify fraud patterns. At the same time, we also run large-scale machine learning models that detect such anomalous behavior. Our stack is built primarily in JAVA using Cassandra, Spark, and RDBMS.

You’d be a great fit if you have experience working on production distributed systems, and understand the difficulty of building a highly reliable and scalable system. Hands-on experience on front end technologies is desirable. Additional skill sets include familiarity with technologies like Hadoop, MapReduce, Pig, and understanding how to solve problems on data sets that range in size from gigabytes to petabytes.

Job Positions

  • Software Engineer 2

Job Details

Job Category

Job Type

Full Time

Number of Openings

Not Mentioned –

Joining Time

Not Mentioned –

Desired Experience

4+ Years

Salary

As per Company Standards

Qualification Criteria

  • BS, MS or Ph.D. in Computer Science or related engineering discipline

Locations

Interview Locations

Hyderabad

Job Locations

Hyderabad

Skills Requirement

Key Skills

JAVA, Spring, Hibernate, CXF

Desired Skills

  • BS, MS or Ph.D. in Computer Science or related Engineering discipline
  • Minimum 4 Years experience in JAVA Programming
  • Good understanding of web application development using JAVA technologies like Spring, Hibernate, CXF
  • Experience developing and extending modern build-chain tools, such as Maven, Jenkins, Git
  • Good understanding of JS libraries like JQuery, Backbone, Angular 4/5, ReactJS, etc… is a plus
  • Knowledge of modern distributed system design and implementation
  • Solid foundation in data structures, algorithms, software design
  • Sound knowledge of SQL & No-SQL databases
  • Understanding of Hadoop internals, Pig, Oozie, Hive, and HBase is a plus
  • Proficiency with Linux, virtual machines, and open source tools/platforms

Job Description

  • PayPal is looking for a Software Engineer to work on challenging problems in developing and scaling our fraud prediction engine.
  • We are developing an analytics platform that lets analysts review, monitor, and identify fraud patterns.
  • At the same time, we also run large-scale machine learning models that detect such anomalous behavior.
  • Our stack is built primarily in Java using Cassandra, Spark, and RDBMS.

Important Instructions

How to Apply ?

Please read all job details clearly and apply exactly as mentioned below only if you meet eligibility criteria.

Online Application

Note: Please apply before the Job URL expires.

About Company: Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing 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, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies.

Simility, a PayPal Service, is an end-to-end fraud management platform helping large merchants, banks, and other Fortune 1000 companies manage fraud and risk. Our systems help enterprises detect fraudulent events in realtime and help protect these enterprises from online threats. We do so by creatively harnessing the power of data, machine learning, and humans and be on the cutting edge of fraud detection techniques and algorithms. Simility welcomes big thinkers and passionate team players, who are ready to take their career to the next level.
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