Teams at Zuora

Design and build scalable full-stack services and user-facing applications with emphasis on engineering fundamentals, microservices, and cloud APIs. Collaborate with Data Science and product teams to productionize AI/ML models, integrate agentic and RAG-based systems, build deployment pipelines and tooling, and maintain high code quality and observability.

Lead AI/ML initiatives: identify high-impact opportunities, build and deploy end-to-end ML solutions (including LLMs), develop scalable data/ML pipelines with engineering, partner with stakeholders, and own projects from idea to production to deliver measurable business impact.

Partner with engineering to embed security into the SDLC: perform threat modeling, design and code reviews, build reusable security components and automation, evaluate and implement security tooling (SAST/DAST/SCA/container scanners), mentor engineers, and influence secure architecture across cloud-native applications.