ZoomInfo is building the data processing platform that powers its core data products and go-to-market systems, handling billions of records of company and contact data. The platform needs to solve the problem of teams across the organization needing to perform common operations on business data, validating email addresses, normalizing phone numbers, standardizing company names, categorizing job titles, translating data between different languages, formats, and schemas. This work directly enables ZoomInfo's GTM Studio platform, unified customer profile and entity resolution capabilities by ensuring clean, consistent data.
Requirements
- Strong proficiency with Java 11+ and Spring Boot 3.2+ (Spring WebMVC, Spring Data)
- Experience deploying and operating services on Kubernetes, preferably GKE
- Familiarity with Google Cloud Platform services (GCS, BigTable, or similar cloud storage and database solutions)
- Experience building platform capabilities, frameworks, or reusable libraries that serve multiple engineering teams
- Track record of building high-scale systems that handle millions of requests efficiently and reliably
- Strong API design instincts and ability to build interfaces that are both powerful and easy to use
- Experience with service-oriented architectures: building microservices, designing for backward compatibility, versioning strategies, service discovery
Responsibilities
- Build production-grade Java services that validate, normalize, and enrich business data (address standardization, phone number formatting, email validation, company name normalization, job title categorization) while handling tens of millions of daily requests
- Design clean APIs and interfaces that let other engineers easily integrate these capabilities into their applications and data workflows
- Integrate with third-party data providers (address validation services, phone intelligence APIs, business data vendors) and wrap them in consistent, reliable interfaces
- Work on the platform itself: build the framework that lets teams discover services, understand versions, handle backward compatibility, and deploy new capabilities
- Collaborate with product engineering teams to understand their data quality needs and translate those into reusable platform capabilities
- Design caching strategies, batch optimization, and resource management to efficiently serve massive scale while controlling costs
- Build observability, monitoring, and operational tooling so teams can use these services reliably in production
Other
- 6+ years of software engineering experience with strong Java skills and a track record of building production services that other teams depend on
- Comfort working with GTM/CRM data domains (firmographic data, contact records, and common data quality challenges in B2B contexts)
- Track record of pragmatic engineering: you start simple, ship incrementally, and add complexity only when it's justified by real requirements
- Ability to partner with other engineering teams by gathering requirements, understanding constraints, and building solutions that actually get adopted
- Bonus: Experience with data validation, normalization, or enrichment systems
- Bonus: Background in CRM platforms, customer data platforms, or marketing technology
