Sr Software Engineer

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.

Build for scale: Design and implement scalable, flexible features that power Zuora's next-generation onboarding platform.

Bachelor's or Master's degree in Computer Science or a related field.
6 - 10 years of hands-on product development experience, ideally within SaaS or B2B software environments.
Hands-on experience or deep understanding of building AI agents and integrating complex business workflows into agentic architectures.
Strong skills in backend API development or full-stack engineering.
Solid understanding of Data Structures, Algorithms, and Object-Oriented Design.
Experience applying low-level design principles in real-world projects.
Familiarity with modern frameworks, IDEs, testing, and documentation best practices.

 
At Zuora, the Milo team solves the Zuora onboarding problem by building agentic solutions to address complex implementation challenges—ranging from understanding user requirements to configurations, data migration, integration, testing, and more. We build and scale the systems that drive innovation across Zuora AI and Zuora Milo — empowering global enterprises to deliver seamless, accurate, and dynamic billing experiences to their customers.
 
As a key member of this team, you'll design and develop highly distributed, performant, and reliable systems that form the foundation of Zuora's onboarding capabilities. You'll build intelligent agentic capabilities and implementation partners that accelerate customer time-to-value and transform quote-to-cash workflows, working closely with architects, product managers, and engineers across multiple teams to tackle complex data and infrastructure challenges.
Tech Stack: Python, Java, Langchain/Strands, Postgres/MySQL, Spring, REST API, Microservices, Kafka, NodeJS, LLM Frameworks, AI/Agent Tooling, AWS, Kubernetes