Software Engineer III

Zuora•Foster City, CA

9d•$146,500 - $201,450•Hybrid

About The Position

This role is focused on designing and developing flexible, high-performance backend services and user-facing applications that enable deep product customization and scalability. The engineer will build end-to-end product capabilities across frontend and backend systems, emphasizing strong engineering fundamentals and product quality. A key aspect of the role involves partnering 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. The position will also help bridge experimentation and production by building the necessary APIs, services, pipelines, and tooling for deploying, monitoring, and evolving data science solutions. Additionally, the engineer will leverage AI-assisted engineering tools to enhance development velocity, code quality, and team productivity, while writing clean, maintainable, and scalable code adhering to best engineering practices and a mindset of continuous improvement. The goal is to build intuitive, elegant, and user-focused products that solve real problems for modern revenue teams.

Requirements

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).

Nice To Haves

Experience with agentic model architectures and RAG-based system implementation is a strong advantage.
Knowledge of Python and data modeling is a strong plus.

Responsibilities

Design and develop flexible, high-performance backend services and user-facing applications.
Build end-to-end product capabilities across frontend and backend systems.
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.
Build APIs, services, pipelines, and tooling needed to deploy, monitor, and evolve data science solutions.
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.