Lead Software Engineer – Risk Solutions

PayPal

Hybrid

Quick summary

Work type
Hybrid
Location
San Jose, CA
Salary
$196,500–$291,500 / yr
Posted
63 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $204k
This role $244k
$166k most similar roles pay here $305k

This role pays more than 86% of similar roles. Most pay $184,000–$223,750 — the shaded band above. At the midpoint, this role pays about $244k versus about $204k for comparable roles.

Based on 240 similar postings.

Employer

About PayPal

PayPal is a leading global digital wallet and online payment system, founded in 1998, that allows individuals and businesses to send, receive, and manage funds securely in over 200 markets.

PayPal currently has 84 open roles on FindRole.

Listed pay typically runs $160,500–$235,826 across 84 roles with salary data.

Most-posted roles

View all roles at PayPal

At a glance

TL;DR · Lead Software Engineer – Risk Solutions

As a senior software engineer on PayPal's Risk and Fraud team, you will lead the architecture and delivery of intelligent systems, focusing on cloud-native engineering practices within Google Cloud Platform. Your daily responsibilities include building and maintaining real-time data pipelines and APIs operating at petabyte scale, integrating AI-assisted development tools to enhance developer efficiency, and collaborating with cross-functional teams to ensure robust technical solutions. You must have extensive experience in distributed systems, proficiency in Java, Python, or Node.js, and hands-on expertise with BigQuery, Pub/Sub, Dataproc, and Apache Spark. This role is crucial for shaping PayPal's future by developing trusted platforms that protect customers globally while fostering innovation and developer productivity.

What you'll do

  • Leads architecture and delivery of intelligent systems supporting Risk and Fraud platforms.
  • Builds and maintains real-time and batch data pipelines operating at petabyte scale.
  • Champions cloud-native engineering practices within Google Cloud Platform (GCP).
  • Integrates AI-assisted development tools into the engineering lifecycle to boost efficiency.
  • Provides technical leadership across SDLC, including architecture reviews and coding standards.
  • Mentors junior engineers and cultivates a culture of learning and craftsmanship.

What we're looking for

  • 10+ years of software engineering experience in large-scale production environments.
  • Expertise in cloud-native engineering, preferably with Google Cloud Platform (GCP).
  • Proficiency in backend development using Java, Python, or Node.js and microservices orchestration.
  • Hands-on experience with Big Data frameworks like Apache Spark, Kafka, Hadoop, Hive, and Airflow.
  • Strong understanding of data modeling, SQL and NoSQL databases, and performance tuning at scale.
  • Excellent communication skills and proven ability to work across cross-functional teams.

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