ZoomInfo Technologies LLC
SeniorSoftwareEngineer-PlatformIntegrations
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“Senior Software Engineer - Platform Integrations at ZoomInfo Technologies LLC”
Full Job Description
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast. ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute—you'll make things happen, fast. As a Senior Software Engineer on the Backend Platform team, you'll design and build the systems that power complex workflows, orchestration, and event-driven processing across ZoomInfo's platform. You'll work on highly scalable backend services that coordinate millions of events and workflows, enabling reliable automation and data processing at scale. You'll leverage technologies like Temporal, Google Cloud Workflows, Kafka, and modern backend frameworks to build resilient, observable, and fault-tolerant systems. Your work will be foundational to how data and processes move across ZoomInfo's ecosystem. Our engineering culture values diversity, intellectual curiosity, problem-solving, and openness. We encourage collaboration, big thinking, and calculated risk-taking in a blame-free environment. You'll have the autonomy to work on meaningful projects while receiving the support and mentorship needed to grow your career. What You Will Do: Design, build, and maintain scalable backend services using Java (Spring Boot) and Node.js (NestJS) Develop and manage workflow orchestration systems using tools like Temporal, Google Cloud Workflows, or similar platforms Build and optimize event-driven architectures using Kafka or other streaming technologies Design systems for reliable job execution, retries
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