Software Engineer III - Node.js

Description :

As a Software Engineer III, you will get to explore and work with cutting-edge technologies and a large and rich data set. If you like working on tough problems, whether that's building systems that handle millions of customer requests a day or how to make sense of over a billion pieces of potentially correlated data, ZoomInfo is the right place for you.

The ideal candidate is a seasoned engineer who will build, ship, and operate backend services at scale for ZoomInfo's flagship products. You'll work mostly in Node.js/TypeScript (NestJS preferred), design APIs, optimise data access on MongoDB/Redis, and deploy to the cloud (GCP preferred or AWS) with a focus on reliability, performance, and security. The candidate should have a keen eye for detail, a passion for building robust systems, and the ability to collaborate effectively within cross-functional teams.

Responsibilities :

- Design and implement backend services and REST/GraphQL APIs in Node.js/TypeScript (NestJS preferred).

- Own features end-to-end: design, coding, tests, code reviews, docs, and production rollout.

- Model data and optimise queries in MongoDB; use Redis for caching and throughput.

- Containerise and deploy via Docker/Kubernetes; automate with CI/CD.

- Monitor and troubleshoot using logs, metrics, and traces; improve latency and reliability.

- Collaborate with Product/Engineering to break down work, estimate, and deliver on time.

- Participate in on-call rotations and post-incident reviews; contribute to runbooks.

- Contribute to the continuous improvement of our technology stack and development processes.

Requirements :

- 5-8 years of software engineering experience, with a B.S. in Computer Science or equivalent.

- 3+ years building backend services in Node.js/TypeScript.

- Hands-on with NestJS/Express/Fastify, and strong API fundamentals (versioning, pagination, idempotency, auth).

- Practical experience with MongoDB (schema design, indexes) and Redis (caching patterns, TTL/evictions).

- Cloud experience on GCP (preferred) or AWS; Docker; basic Kubernetes; CI/CD (GitHub Actions/Jenkins, etc.)

- Working knowledge of observability (logs/metrics/traces) and basic SLO concepts.

- Strong interpersonal skills, with the ability to collaborate effectively across teams.

- Demonstrated critical thinking, problem-solving, and troubleshooting abilities.

- A sense of ownership, growth mindset, and intellectual curiosity.

- Experience with Confluent Cloud or similar data streaming platforms is a plus.

- Performance profiling, load testing, and cost-aware design.