Senior Software Engineer - Chorus
ZoomInfo Technologies LLC
| Company | ZoomInfo Technologies LLC |
| Category | Engineering |
| Location | Bethesda |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 24 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
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.
At ZoomInfo, we encourage creativity, value innovation, demand teamwork, expect accountability, and cherish results. We have high aspirations for the company and are looking for the right people to help fulfill the dream.
We're looking for a Senior Software Engineer to join a team that spans two of ZoomInfo's most technically demanding domains. On the Engagement Intelligence side, we process and map customer engagements to CRM entities in real time, supporting some of the largest enterprises on the planet with multinational workforces — millions of engagement data points per day and over a billion pieces of potentially correlated data. On the Chorus Platform side, we power Chorus.ai, a Conversation Intelligence platform that processes and analyzes an enormous volume of sales calls to surface insights on deal health, risk, and next steps for sales managers.
This is a role for an engineer who is energized rather than daunted by breadth: high-volume JVM streaming systems on one side, Python distributed services and third-party integrations on the other, with the seniority to make architectural calls across both and the humility to ramp quickly on whichever stack is less familiar.
What you will do
Design, build, and deploy complex distributed systems across both domains
Build high-volume streaming data processing services using Kafka to handle millions of engagement data points per day
Design and implement real-time engagement-to-CRM entity mapping systems
Develop robust Java-based microservices that integrate tightly with data storage solutions
Build and own Python backend services and RESTful APIs handling millions of customer requests per day
Build third-party integrations with major conference providers using their SDKs
Own customer-facing aspects of the product end to end, from design through production operation
Drive architectural decisions that span both areas — data modeling, service boundaries, performance optimization
Help define and promote engineering best practices: design, documentation, code review, monitoring, observability
Mentor and train engineers across the team, raising the technical bar in both domains
Act as a technical point of contact across teams and personas, translating ambiguous product needs into concrete systems
What you bring
7+ years of industry software development experience; B.S. in Computer Science, Mathematics, Software Engineering, or equivalent
Strong hands-on experience in both Java and Python in production settings (deep expertise in one and working proficiency in the other, with a track record of ramping fast on new stacks)
3+ years building distributed systems and microservices at scale
3+ years with streaming data platforms (Kafka strongly preferred)
4+ years of cloud experience (AWS/GCP) — a must
Solid experience with both SQL and NoSQL stores (Mongo, Elasticsearch)
Strong grasp of RESTful API design standards and event-driven architecture
Experience with CI/CD, package management, and release cycles
Strong architectural design skills while remaining deeply hands-on
Excellent communication skills in English and the interpersonal range to collaborate cross-functionally
Demonstrated leadership: mentoring engineers, driving projects independently, taking initiative without being asked
Bonus points
Experience with CRM systems (Salesforce, Microsoft Dynamics) and integrating data services with them
Apache Kafka ecosystem depth (Kafka Streams, Connect)
Spring Boot microservices deployed to cloud
Experience with con