Jobs at PayPal

Lead the design, development, and optimization of machine learning platforms, pipelines, and data infrastructure. Coordinate engineering teams, define technical tasks, improve engineering processes, and balance competing priorities. Build and deploy machine learning models while collaborating with data scientists, researchers, and engineers. Mentor team members, establish engineering standards, and represent PayPal with external partners and industry organizations.

Designs, develops, tests, deploys, and operates enterprise backend services, microservices, and APIs using Java and Spring Boot. Builds cloud-native applications on GCP with Docker, Kubernetes, and CI/CD tools; develops automated tests; optimizes databases and caching; integrates messaging systems; troubleshoots production issues; coordinates releases; and collaborates with Product, UX, QA, DevOps, and engineering teams. Guides junior engineers and makes technical decisions with limited supervision.

Leads incident command and reliability operations for large-scale payment platforms. Directs engineering teams during critical incidents, authorizes rollbacks and failovers, reviews cloud and Infrastructure-as-Code changes, and drives disaster recovery, observability, automation, capacity planning, and resilience initiatives. Communicates with executives during incidents and postmortems, mentors engineers, and improves incident response tooling, playbooks, and operational workflows. The role operates on alternating 12-hour shifts.