Job Description:
About Zuora At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models — from subscriptions and usage-based pricing to AI-driven and outcome-based offerings — helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue. We’ve led the Subscription Economy for more than a decade. Now we’re evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation. The Opportunity Design and develop flexible, high-performance backend services and user-facing applications that enable deep product customization and scalability. Build end-to-end product capabilities across frontend and backend systems, with a primary emphasis on strong engineering fundamentals and product quality. Partner closely with Data Science, Product, UX, Platform, and Partner teams to productionize models, integrate AI/ML capabilities into product workflows, and scale intelligent systems reliably. Help bridge experimentation and production by building the APIs, services, pipelines, and tooling needed to deploy, monitor, and evolve data science solutions in real-world applications. Leverage AI-assisted engineering tools to improve development velocity, code quality, and team productivity. Write clean, maintainable, and scalable code, following strong software engineering practices and a mindset of continuous improvement. Build products that are intuitive, elegant, and user-focused — solving real problems for modern revenue teams. Write clean, maintainable, and scalable code, adhering to best engineering practices and continuous improvement About You B.Tech / B.E. in Computer Engineering or equivalent discipline. 5+ years of experience in full-stack software development. Hands-on expertise in a modern programming language (Java preferred). Strong understanding of cloud-based APIs (preferably AWS). Experience with microservices architecture (Spring Boot a plus). Solid knowledge of relational databases (Postgres, SQL, AWS RDS). Proven debugging, problem-solving, and communication skills. Curiosity and passion for exploring new technologies and AI tools (e.g., ChatGPT, Cursor, Lovable). Experience with agentic model architectures and RAG-based system implementation is a strong advantage. Experience with agentic model architectures and RAG-based system implementation is a strong advantage. Knowledge of Python and data modeling is a strong plus. Our Tech Stack: Java Python, Spring, Rest API, Microservices, Kafka, Spark, NodeJS, AWS, Kubernetes, Terraform,ReactJS, Typescript, Postgres. About the Team Product and Engineering’s AI Core team is building the next generation of intelligent product capabilities at Zuora. We are focused on creating scalable, AI-ready system that enable agentic workflows, model-driven experiences, RAG-based solution, and extensible platform services across our products. Our team partners closely with Product, Engineering, and Data Science to design and deliver production-grade AI systems — from backend services and APIs to agentic model development, RAG system implementation, orchestration, integration, and scalable deployment patterns. We’re on a multi-year journey to build a next-generation, microservices-based architecture that is modular, extensible, and designed to support the future of AI-powered revenue operations.
