Staff Backend Python Engineer — Cloud-Native & Scalable

PayPal; San Jose (CA); Hybrid; USD 177,000 - 262,000; Full time

Benefits offered by this job

Generous paid time off

Comprehensive health coverage for you+

Balanced hybrid work model

Job summary

PayPal is seeking a Staff Backend Python Engineer to design, build, and scale backend systems powering millions of secure global transactions. You’ll drive technical direction, mentor engineers, and ensure reliable, resilient delivery with a focus on distributed architectures and cloud-native patterns.

The role emphasizes Python (Django/Flask), microservices, and serverless approaches, with a balanced hybrid work model and strong emphasis on security, performance, and scalability in a payments

Qualifications

• 5+ years of relevant engineering experience with a Bachelor's degree or equivalent.
• Proven track record designing scalable backend systems with Python.
• Experience leading teams and driving technical direction in cloud environments.

Responsibilities

• Lead design and architecture of scalable, cloud-native backend systems.
• Define and drive the technical roadmap aligning with business goals.
• Coordinate activities of engineers and set clear technical direction.
• Mentor teams to improve engineering practices and delivery.
• Build high-availability backend systems using Python (Django/Flask).
• Collaborate with Product, Infra, and Ops to deliver outcomes.

Skills

Python

Django

Flask

Cloud-native

Microservices

Serverless

Distributed systems

AWS

GCP

Mentorship

Education

Bachelor's degree or equivalent

Tools

Terraform

CI/CD

Job description

PayPal is seeking a Staff Backend Python Engineer to design, build, and scale backend systems powering millions of secure global transactions. You’ll drive technical direction, mentor engineers, and ensure reliable, resilient delivery with a focus on distributed architectures and cloud-native patterns.

The role emphasizes Python (Django/Flask), microservices, and serverless approaches, with a balanced hybrid work model and strong emphasis on security, performance, and scalability in a payments