Senior Platform & DevEx Engineer - AI/ML Infra

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

Benefits offered by this job

Hybrid work model

Healthcare coverage

Paid time off

Job summary

PayPal, Inc. is seeking a Staff Software Engineer for Platform Enablement and Quality in San Jose. You will lead scalable platform frameworks, developer tooling, and quality engineering to ship faster with higher quality across PayPal's AI/ML platform.

You will influence engineering standards, drive reliability, and collaborate across teams to improve CI/CD, observability, and developer productivity while working in a balanced hybrid environment.

Qualifications

• BS/MS in Computer Science or equivalent with 8+ years of software engineering experience, including 3+ years in platform or infrastructure engineering.
• Proven track record designing and building large-scale distributed platform services with high availability and reliability.
• Strong experience with CI/CD and platform enablement tools; familiarity with internal developer platforms (IDPs).
• Hands-on containerization and cloud experience; proficiency in Java, Python, or Go.
• Experience with observability, metrics, logging, tracing, and chaos engineering; familiarity with OpenTelemetry and Datadog.

Responsibilities

• Lead design and implementation of scalable platform frameworks and developer tooling.
• Set engineering standards for reliability, testability, and productivity across the AI/ML platform.
• Collaborate with management to improve CI/CD and platform quality standards.

Skills

Platform engineering

Quality engineering

CI/CD tooling

Distributed systems

DevEx tooling

Java

Python

Go

Docker

Kubernetes

OpenTelemetry

Datadog

Prometheus

Gremlin / chaos engineering

Education

Bachelor's degree in Computer Science or equivalent

MS in Computer Science

Tools

GitHub Actions

Jenkins

ArgoCD

Job description

PayPal, Inc. is seeking a Staff Software Engineer for Platform Enablement and Quality in San Jose. You will lead scalable platform frameworks, developer tooling, and quality engineering to ship faster with higher quality across PayPal's AI/ML platform.

You will influence engineering standards, drive reliability, and collaborate across teams to improve CI/CD, observability, and developer productivity while working in a balanced hybrid environment.