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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Staff Software Engineer - **Company:** PayPal - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Salary:** $246,305.0 - $333,500.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Application Frameworks, Software Applications, Automation of Tests, Cloud Database, Cloud Engineering, Continuous Integration, Customer Data Management, Distributed Computing Environment, Distributed Systems, Enterprise Architecture Framework, Fault Tolerance, Machine Learning, Object-Oriented Software Development, Recommender Systems, Rule Engine, Azure Machine Learning, Software Engineering, Systems Integration, Data Logging, Feature Engineering, System Availability, Large Language Models, Grafana, Google Vertex AI, Backend, Agentic-AI, Event Driven Architecture, Information Technology, Real Time Data, Apache Kafka, Graphql, Video Streaming, Invoking Functions, Api Design, Prompt Orchestration, Docker, Microservices - **Published:** October 7, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=3ea516a2f35a3913 ## About the Role 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. Experience designing and operating observability solutions for distributed systems, including logging, metrics, tracing, alerting, and reliability monitoring using industry-standard observability tools (6 years) 13. Experience designing AI-powered systems with privacy, security, explainability, and governance requirements in regulated environments (6 years) 14. Experience driving technical strategy and architectural decisions that span organizational boundaries, mentoring engineers, and influencing cross-functional stakeholders on system design trade-offs and personalization best practices (5 years). Additional Responsibilities & Preferred Qualifications: EOE, including disability/vets. The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is ## 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