Senior Software Engineer

Company Overview

At Zuora, we do Modern Business. We’re helping people subscribe to new ways of doing business that are better for people, companies and ultimately the planet. It’s an approach resulting from the shift to the Subscription Economy that puts customers first by building recurring relationships instead of one-time product sales and focuses on sustainable growth. Through our leading expertise and multi-product suite, we are transforming all industries and working with the world’s most innovative companies to monetize new business models, nurture subscriber relationships and optimize their digital experiences.

About the Team & the Role

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 systems that enable agentic workflows, model-driven experiences, RAG-based solutions, 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.

This is a location specific position that requires you to come into the Chennai office regularly to be most effective. 

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.

What you’ll do

• Responsible for the entire lifecycle of projects or features including engineering design, development, review and deployment.
• Providing technical oversight to improve execution and system robustness alignmenting with long-term technical strategy. 
• Define optimized data models, leverage in-memory processing, and ensure systems can handle large-scale enterprise transaction volumes with low-latency APIs.
• Write, co-write, and review technical design documentation.
• Coach and mentor engineers, fostering technical growth and ensuring consistent high-quality delivery.

Your experience

• Bachelor’s or Master’s in  Computer Science, Software Engineering, or a closely related field.
• Minimum of 8 years in software engineering with at least 5 years each in the following areas:
• Strong foundation in object-oriented programming, software design patterns, and building maintainable, extensible systems.
• Developing and delivering enterprise SaaS software at scale, including designing high-performance distributed systems with strong foundations in parallelization, concurrency control, scalable data modeling, and resilient backend architecture.
• Designing, building, and maintaining billing and subscription management software.
• Hands-on development with Java, Kotlin, MySQL, Spring Framework, Hibernate and cloud technologies (AWS).
• Proven expertise in designing and building scalable, distributed, high-performance systems in large enterprise environments.
• Strong system design skills, with demonstrated success guiding teams through complex technical decisions.
• Excellent problem-solving ability, with strong analytical skills to translate complex business requirements into scalable solutions.
• Excellent written and verbal communication skills, with the ability to collaborate effectively across engineering, product, and leadership team
• A passion for mentorship, knowledge sharing, and helping teams grow.

Nice to haves:

• Hands-on experience designing and implementing agentic AI systems in production environments.
• Experience building RAG-based solutions, including retrieval pipelines, context orchestration, and evaluation patterns.
• Familiarity with MCP, tool-use frameworks, and agent orchestration architectures.
• Strong data engineering fundamentals, including data modeling, ETL/ELT pipelines, and scalable data processing.
• Experience partnering across software engineering, data, and AI/ML teams to productionize intelligent systems.
• Strong Python experience, including backend development and data processing at scale

#ZEOLife at Zuora

As an industry pioneer, our work is constantly evolving and challenging us in new ways that require us to think differently, iterate often and learn constantly—it’s exciting. Our people, whom we refer to as “ZEOs” are empowered to take on a mindset of ownership and make a bigger impact here. Our teams collaborate deeply, exchange different ideas openly and together we’re making what’s next possible for our customers, community and the world. 

As part of our commitment to building an inclusive, high-performance culture where ZEOs feel inspired, connected and valued, we support ZEOs with:

• Competitive compensation, variable bonus and performance reward opportunities, and retirement programs
• Medical, dental and vision insurance
• Generous, flexible time off 
• Paid holidays, “wellness” days and company wide end of year break
• 6 months fully paid parental leave 
• Learning & Development stipend
• Opportunities to volunteer and give back, including charitable donation match
• Free resources and support for your mental wellbeing  

Specific benefits offerings may vary by country and can be viewed in more detail during your interview process.

Location & Work Arrangements

Organizations and teams at Zuora are empowered to design efficient and flexible ways of working, being intentional about scheduling, communication, and collaboration strategies that help us achieve our best results. In our dynamic, globally distributed company, this means balancing flexibility and responsibility — flexibility to live our lives to the fullest, and responsibility to each other, to our customers, and to our shareholders. For most roles, we offer the flexibility to work both remotely and at Zuora offices.

Our Commitment to an Inclusive Workplace

Think, be and do you! At Zuora, different perspectives, experiences and contributions matter. Everyone counts. Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all.

Zuora does not discriminate on the basis of, and considers individuals seeking employment with Zuora without regards to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance(at)zuora.com.