Sr. Backend Engineer (AI & Platform)

Join to apply for the Sr. Backend Engineer (AI & Platform) role at PayPal 1 month ago Be among the first 25 applicants Company Overview: PayPal has been revolutionizing commerce globally for over 25 years, creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure. We empower consumers and businesses in approximately 200 markets to thrive in the global economy. We operate a large-scale, global, two-sided network connecting millions of merchants and consumers, facilitating online and in-person transactions. We offer proprietary payment solutions and a comprehensive range of financial services, including cross-border shopping, fund transfers, and merchant solutions. Our core values of Inclusion, Innovation, Collaboration, and Wellness guide our daily operations, fostering a unified global team centered around our customers. Job Description Summary: We seek a highly experienced Senior Backend Engineer with 10 years in backend systems architecture, distributed computing, and AI integration. The ideal candidate will have deep expertise in backend engineering and machine learning, with a focus on building scalable, secure, and intelligent systems. This role involves technical leadership, system design, and AI integration to deliver high-performance backend services for modern, intelligent applications. Key Responsibilities: Design, build, and optimize scalable and resilient backend systems using modern cloud-native technologies. Collaborate with ML engineers to integrate AI models into backend services for adaptive experiences. Develop robust RESTful and GraphQL APIs and microservices supporting web and mobile platforms. Ensure system availability, security, and performance through monitoring and optimization. Build data pipelines, support ML workflows, and deploy models in production. Implement security best practices and ensure data privacy and compliance. Partner with cross-functional teams to align engineering efforts with business goals. Mentor junior engineers, lead code reviews, and promote engineering best practices. Stay updated with industry trends, advocate for technological innovation. Required Skills & Experience: 10 years in backend engineering for large-scale systems. Proficiency in Node.js, Python, Java, or Go, with strong system design skills. Experience deploying on AWS, GCP, or Azure. Hands-on AI/ML model integration experience. Deep understanding of API design, microservices, event-driven architectures. Knowledge of SQL, NoSQL, message queues, distributed data systems. Familiarity with CI/CD, Docker, Kubernetes. Experience with monitoring tools like Datadog, Prometheus, OpenTelemetry. Understanding of security, data privacy, GDPR compliance. Excellent communication and collaboration skills in agile environments. Preferred Qualifications: Experience with ML Ops tools such as MLflow, Kubeflow, Vertex AI. Background in deep learning frameworks like TensorFlow, PyTorch. Exposure to vector databases, LLMs, retrieval-augmented generation (RAG). Experience in building recommendation systems, chatbots, predictive services. Knowledge of observability, circuit breaking, self-healing systems. Understanding of data governance, feature stores, stream processing. PayPal’s hybrid work model offers 3 days in-office and 2 days flexible work, supporting collaboration and convenience. Benefits: We offer benefits supporting your financial, physical, and mental health, including flexible work, employee stock options, health and life insurance. Learn more at paypalbenefits.com . Who We Are: Learn about our culture at about.pypl.com . Diversity & Inclusion: We are committed to equal opportunity and inclusive practices. For accommodations, contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: We foster an environment of acceptance and diversity, reflecting the communities we serve. Apply through our Talent Community and help us bridge confidence gaps in hiring. REQ ID R0124101 J-18808-Ljbffr

Location: Singapore, SG

Posted Date: 6/6/2025