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# Software Engineer III

- **Company:** Zuora
- **Location:** Foster City, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $146,500.0 - $201,450.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Software Quality, Computer Engineering, Relational Databases, Cursor (Graphical User Interface Elements), Software Debugging, High-Level Architecture, Spring Framework, Python (Programming Language), PostgreSQL, Machine Learning, Node.Js, Software Tools, Software Engineering, SQL Databases, TypeScript, ReactJS, Apache Spark, Spring-boot, Backend, Amazon Relational Database Service, Kubernetes, Apache Kafka, Front End Software Development, Restful APIs, Terraform, GPT, Zuora, Microservices
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/software-engineer-iii-zuora-8930293

## About the Role

* 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.
 * 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.

## Description

* 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


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