Staff Software Engineer

LiveRamp is looking for a Staff Backend Engineer to join our team and help build the Unified Segment Builder (USB) — the next-generation, comprehensive segmentation solution for creating precise, real-time, and meaningful audiences.

USB is a foundational pillar in LiveRamp’s product ecosystem. It empowers customers to create powerful audience segments using 1st, 2nd, and 3rd-party data, with support for combining, excluding, and overlapping datasets. The solution is designed for scale, performance, and usability — replacing legacy segmentation tools and delivering a unified, world-class user experience.

We are also rolling out AI-powered segment building capabilities based on USB, aiming to boost efficiency and expand the use cases beyond traditional campaign planners.

You will

• :Collaborate with APAC engineers, and partner closely with US-based product and UX teams
• .Design and implement scalable backend systems, APIs, and infrastructure powering the USB and other core LiveRamp products
• .Lead cross-functional technical discussions, drive architectural decisions, and evangelize engineering best practices across teams
• .Mentor engineers and contribute to the technical leadership of the local team
• .Ensure operational excellence by building reliable, observable, and maintainable production systems
• .Help rearchitect our existing systems to provide a more powerful and flexible data processing environment at scale

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Your team will

• : Design, build, and scale USB and related segment-building products critical to LiveRamp’s succes
• s.Collaborate with engineering, product, DevOps, SRE, and QA teams to deliver new features and improvement
• s.Build systems that integrate with the broader LiveRamp Data Collaboration Platfor
• m.Continuously improve quality, performance, and developer experience for internal tools and servic

es
About yo

• u: 8+ years of experience writing and deploying production-grade backend co
• de.Strong programming skills in Java, Python, kotlin, or
• Go.3+ years of experience working with big data technologies such as Apache Spark, Hadoop/MapReduce, and Kaf
• ka.Extensive experience with containerization and orchestration technologies, including Docker and Kubernetes, for building and managing scalable, reliable servi
• cesProven experience designing and delivering large-scale distributed systems in production environmen
• ts.Strong track record of contributing to or leading architectural efforts for complex syste
• ms.Hands-on experience with cloud platforms, ideally GCP (AWS or Azure also acceptabl
• e).Proficiency with Spring Boot and modern backend framewor
• ks.Experience working with distributed databases (e.g., SingleStore, ClickHouse, etc

.).
Bonus poi

• nts:Familiarity with building AI-enabled applications, especially those involving LLMs or generative AI workfl
• ows.Experience with LangChain or LangGraph frameworks for orchestrating multi-step AI agents is a strong p