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# Software Engineer

- **Company:** Zoom Video Communications, Inc.
- **Location:** Seattle, WA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $200,000.0 - $275,400.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Data Retrieval, Distributed Systems, Elasticsearch, Monitoring of Systems, PostgreSQL, RabbitMQ, Redis, Large Language Models, Backend, Kubernetes, Information Technology, Low Latency, Cassandra, Apache Kafka, Docker
- **Published:** August 27, 2026
- **Apply:** https://dejobs.org/x/x/92104BE623B6447AB73C3E104F94AC3F/job/

## About the Role

Requires a Master's degree in Computer Science, a related field, or a foreign equivalent. Must have 2 years of experience in job offered or related occupation. Must have 2 years of experience in the following:

 * 2 years of experience with Backend or distributed systems engineering;
 * 2 years of experience Building systems with Cassandra, ScyllaDB, Postgres, ElasticSearch, Redis, Kafka, and RabbitMQ;
 * 2 years of experience with Cloud-native tools including Docker, Kubernetes, and AWS; and
 * 2 years of experience Building highly available, multi-tenant backend services.
 * Telecommuting work arrangement permitted: Position may work in various unanticipated locations throughout the U.S. Position does not require domestic or international travel.

## Description

* Design and implement a scalable RAG system for real-time Q&A across internal content (meetings, messages, documents, whiteboards, videos, etc.);
 * Build robust ingestion and indexing pipelines for semi-structured data sources with ne-grained, permission-aware access control;
 * Develop APIs and backend systems to enable efficient querying, retrieval, and ranking;
 * Collaborate with ML/NLP engineers to iterate on embedding models and improve search quality;
 * Ensure reliability, low latency, and scalability across the entire data retrieval and augmentation stack;
 * Monitor system performance and optimize for high-throughput, low-latency workloads under real-world load.


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