Job Description

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives. We’re a purpose-driven company, and our beliefs are the foundation of how we conduct business every day. We’re guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Collectively, these values inspire us to work together as One Team with our customers at the center of everything we do, and to take care of ourselves, each other, and the communities in which we live and work. We challenge the status quo, ask questions, and find solutions. Join us as we enable the hopes, dreams, and ambitions of millions of people around the world.

As a Software Engineer for the Site Reliability & Cloud Engineering team (SRCE) you are motivated and passionate about solving customer problems. You are enthusiastic about data and write code that is high quality and well-documented in order to provide a powerful value proposition as we scale to achieve our vision of servicing a billion daily active users. The SRCE mission aims to enable a secure, scalable, & blazing fast cloud platform that powers PayPal with awesome reliability. We’re a group of individuals formed with diverse, global backgrounds where we have a shared understanding of extreme ownership, being brilliant at the basics, and grit that keeps us learning from failure. We strive to educate each other and provide mentorship to learn and grow.
 

Our Actionable Insights (SRE-AI) team empowers teams to find insights in their data. We establish and socialize best-in-class data science practices as a part of providing clear, accurate, relevant, and actionable measurements of reliability and operations for the enterprise.  In order to do this, we harness the power of big data in Hadoop, Teradata, BigQuery along with Java, Python, and Splunk to make data actionable.  We are currently leveraging our talents to reduce incidents and triage time, improve performance, and save operational costs through smarter capacity planning. 

In your role as a Software Engineer, you will: 

• Propose technical solutions for new or revised features based on understanding of product and business domains 
• Write production code using our “Gold Path” Java Raptor platform or a more custom solution using Docker and Python 
• Actively contribute to our automated test suite to enable speedy and reliable continuous integration 
• Automate all the things with Jenkins and our CI/CD platform 
• Mentor junior engineers on software engineering best practices 
• Work with your Agile team to achieve shared understanding around the new products and features under consideration 
• Act as a strong advocate for clean and scalable coding principles 
• Identify critical non-functional requirements for the work your team is prioritizing (security, performance, scalability, etc.) 
• Follow-up on dependent requests from other teams and keep people informed of your progress who are dependent on your work 
• Continuously learn by staying on top of the latest technology trends and share your knowledge and experience with your peers, adjacent teams, and across the organization 
• Bring fresh ideas for how to continuously improve our software and your team 
• Advocate for ways to remediate technical debt on an ongoing basis 
• Write documentation that gets 🔥 reactions because it’s as hot as the sun

• You have a Bachelors or Masters in Computer Science, a related field of study, or 2+ years of related professional experience 
• Expertise in computer science fundamentals like data structures, complexity analysis, object-oriented design and algorithm 
• You care about writing high-quality code, and you've written your fair share of automated tests to back up your code 
• Strong communication skills and ability to work effectively across global teams 
• A constant desire to grow, learn, and explore new things 
• Comfortable in developing with Java, Python, and NodeJS 
• Experience with CI/CD pipelines using technologies similar to Jenkins 
• Experience with one or more Container-ecosystem (Docker, Mesos, Kubernetes)