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 277 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.
Xoom, A PayPal Service, is revolutionizing the global digital money services market by providing people with an easy, convenient and cost-
effective means of sending money worldwide. We offer a secure, fast and inexpensive means of sending money, paying bills and topping up prepaid services across multiple digital platforms to both online and offline recipients in over 40 countries and counting around the world.
We are looking for talented Sr. DevOps engineer to help us strengthen our world class data operations team. In this versatile role, you will be responsible for helping shape the future of mission critical data store systems.
You will be collaborating closely with engineering teams to design, build and automate data layers for our highly complex environments.
Automate deployment / configuration of data layer components with packer / terraform / docker / puppet / ansible
Help create and maintain tools that improve provisioning and deployment pipelines
Define, re-engineer and document processes related to the tools in use
Help promote the vision of manage everything as code
Support production data layer components
Manage and monitor SQL / NoSQL production infrastructure
Troubleshoot SQL and NoSQL Engines
Troubleshoot Linux environments
Qualifications : Fluent English a must
Fluent English a must
Strong background in Linux / Unix administration a must
Strong background in cloud computing(AWS / GCP) a must
Experience with large scale NoSQL Engines a plus ( Cassandra , Elastic Search, Kafka )
Experience with capacity planning, performance tuning, backups and security a plus
As a multidisciplinary team we make use of the following languages and tools, experience in any of them is a plus :
Test driven development for everything