ZoomInfo Technologies LLC
Software Engineer III
About this role
ZoomInfo seeks a mid-level full-stack engineer for their nascent DAAS team in Waltham, Massachusetts. You'll design and maintain backend systems using Java and Node.js, build scalable event-driven architectures with Kafka, and have the opportunity to shape the initiative's technical direction.
What you'll do
- Design, develop, and maintain backend systems using Java and Node.js with frameworks like NestJS
- Build scalable systems leveraging event streaming technologies such as Kafka
- Develop and implement RESTful APIs following best practices and design patterns
- Collaborate with cross-functional teams to implement new features and platform functionalities
- Refactor and optimize existing codebases for performance, scalability, and maintainability
- Work with cloud technologies for deployment, monitoring, and scaling applications
What they're looking for
- Java and Node.js backend development
- SQL Server and/or MongoDB database design and querying
- RESTful API design and development
- Event streaming with Kafka
- Cloud platforms (AWS/GCP preferred)
- Docker, Kubernetes, or container orchestration
- Software development best practices (SOLID, design patterns, unit testing)
- Logging, monitoring, and alerting tools
Benefits
- Comprehensive health and wellness benefits
- Mind, body, and lifestyle programs for overall well-being
- Hybrid work arrangement
- Opportunity to shape direction of nascent DAAS initiative
- Collaborative team environment with continuous learning
- Career acceleration opportunities
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ZoomInfo Technologies LLC
ZoomInfo Technologies LLC builds advanced data infrastructure and technographic data services, leveraging cloud platforms and AI to deliver intelligence applications. The company is hiring DevOps engineers, software engineers, and data specialists to design scalable data pipelines, manage cloud infrastructure, and develop customized solutions for enterprise clients.
- Website
- zoominfo.com
Likely interview questions
- Describe your experience designing and building scalable backend systems. What architectural patterns have you used?
- How have you used Kafka or other messaging systems in production, and what challenges did you overcome?