Senior Java Backend Engineer - Credit Platform

BAM Ventures; Scottsdale (AZ); Hybrid; USD 124,000 - 184,000; Full time

Job summary

PayPal in Scottsdale, Arizona, is seeking a Senior Software Engineer for the Credit Platform powering global credit products such as Buy Now Pay Later and merchant loans. You will design backend services, collaborate with product, risk, compliance, and engineering teams to translate complex requirements into robust technical solutions.

The role emphasizes building event-driven, scalable systems using Kafka/Pulsar and microservices, with a balanced hybrid work model offering 3 days in the office

Qualifications

• 3+ years relevant software engineering experience or equivalent.
• Bachelor’s degree in CS, Engineering, or related field.
• 5+ years in Java and building RESTful APIs with Spring Boot.

Responsibilities

• Design, build, and evolve large-scale backend services powering PayPal's credit products.
• Partner with product, risk, compliance, and engineering teams to translate requirements into solutions.
• Build reusable, configuration-driven systems to support rapid launches and market expansion.
• Develop event-driven services using Kafka or Pulsar.
• Improve scalability, performance, reliability, and observability as usage grows.
• Contribute to technical direction through design reviews and mentoring.

Skills

Java

RESTful APIs

Spring Boot

Microservices

Kafka/Pulsar

Asynchronous programming

Mentoring engineers

Performance optimization

SQL & NoSQL

Cloud platforms

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Oracle

MySQL

DynamoDB

BigQuery

Job description

PayPal in Scottsdale, Arizona, is seeking a Senior Software Engineer for the Credit Platform powering global credit products such as Buy Now Pay Later and merchant loans. You will design backend services, collaborate with product, risk, compliance, and engineering teams to translate complex requirements into robust technical solutions.

The role emphasizes building event-driven, scalable systems using Kafka/Pulsar and microservices, with a balanced hybrid work model offering 3 days in the office