Sr Staff Software Engineer
PayPal · New York City, New York, United States of America
- Location
- New York City, New York, United States of America
- Salary
- $246,305-333,500.00
- Funding
- ~$50.5B–$62.6B
- Posted
- Oct 5, 2026
PayPal is hiring a Sr Staff Software Engineer based in New York City, New York, United States of America. Every apply link on Engg.space goes straight to the company's own careers page - no recruiter middleman, no generic job-board form.
Apply directly at PayPalRole details
The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: Job Description: PayPal, Inc. seeks Sr Staff Software Engineer in New York, NY Job Duties: Lead the design, development, and implementation of intelligent, AI-driven software applications and features across PayPal’s digital ecosystem, delivering seamless and frictionless customer experiences. Leverage real-time data, behavioral analytics, and AI-driven decision-making to improve engagement, retention, and conversion. Build scalable, personalized application features that deliver real-time personalization capabilities that adapt dynamically to user context. Architect cloud-native, scalable systems that balance performance, reliability, and security while enabling rapid experimentation and innovation. Drive the adoption of personalization frameworks and tools across teams, enabling consistency, reliability, and faster product integration. Establish and execute the long-term technical strategy for the personalization platform, ensuring alignment with company-wide goals and customer-first principles. Anticipate and capitalize on emerging trends in personalization, recommendation systems, and agentic AI to maintain a competitive advantage. Make technical decisions affecting multiple teams, crossing organizational boundaries. Develop automated tests and deliver high-quality software code to production within a short development cycle in the continuous integration and delivery environment. Partner with product management to ideate solutions to business problems. Partial telecommuting permitted from within a commutable distance. Minimum Requirements: Bachelor’s degree, or foreign equivalent, in Computer Science, Software Engineering, or a closely related field plus 12 years of progressively responsible experience in the job offered or a related occupation. Special Skill Requirements: 1. Experience designing and developing large-scale software applications using Object-Oriented Design and Java, including Spring and related enterprise frameworks (8 years) 2. Experience designing and operating large-scale distributed systems with high availability, scalability, and fault tolerance using microservices-based architectures (8 years) 3. Experience designing and implementing service-oriented and API-based architectures using REST and GraphQL, including schema design and API governance (8 years) 4. Experience building shared backend platforms and reusable frameworks used by multiple engineering teams (8 years) 5. Experience building cloud-native systems using containerization and orchestration technologies such as Docker and Kubernetes, deployed on cloud platforms including Google Cloud Platform (GCP) (7 years) 6. Experience designing and implementing real-time, event-driven architectures using messaging and streaming technologies such as Apache Kafka, AMQ, or equivalent systems (7 years) 7. Experience working with large-scale customer data, behavioral analytics, and feature engineering using distributed data processing platforms and cloud-based data services (7 years) 8. Experience developing personalization and recommendation systems using rule-based systems and machine learning techniques, including ranking and decisioning logic (6 years) 9. Experience integrating, deploying, and operating machine learning models in production using ML platforms such as Google Vertex AI, including model training, serving, and lifecycle management (5 years) 10. Experience designing and deploying AI-driven decisioning systems that leverage predictive models, real-time context, and experimentation frameworks (5 years) 11. Experience developing and integrating Large Language Model (LLM)–based systems using cloud AI platforms, including prompt orchestration, tool or function calling, and evaluation in production environments (4 years) 12. E
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