Senior Java Backend Engineer | Multi-Cloud, 99.999% Uptime

Telnyx LLC

United States

Remote

USD 140,000 - 180,000

Full time

11 days ago

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Job summary

Telnyx LLC is seeking a senior Java backend engineer to help build a highly available data pipeline powering Voice, Messaging and Wireless services. You will work on 30+ microservices using Java 21 and Scala, delivering low-latency data processing for global telecom operations.

Join a lean team with a focus on performance, reliability, and ML-powered fraud detection. You will influence architecture, optimize pipelines, and ship code to production multiple times daily.

Qualifications

  • Degree in Computer Science, Information Technology, or equivalent work experience.
  • 4+ years of experience with Java and its ecosystem of tooling.
  • Experience with databases such as Cassandra, ClickHouse, or OpenSearch.
  • Experience with AI tooling, or a strong willingness to learn.

Responsibilities

  • Work on 30+ microservices implemented in Java 21 and Scala that process, aggregate and expose data our telecommunication and messaging engines generate.
  • Improve performance of our pipeline — we currently process 10k messages/sec and are growing.
  • Architect services and pipelines for low latency across regions (U.S., E.U., Australia, South America).
  • Implement fraud detection processes with machine learning (Kafka and Kafka Streams).
  • Deploy services to multi-cloud Kubernetes environments to achieve 99.999% uptime.
  • Push code to production multiple times a day.

Skills

Java
Distributed systems
AI tooling

Education

Computer Science / Information Technology degree

Tools

Cassandra
ClickHouse
OpenSearch

Job description

Telnyx LLC is seeking a senior Java backend engineer to help build a highly available data pipeline powering Voice, Messaging and Wireless services. You will work on 30+ microservices using Java 21 and Scala, delivering low-latency data processing for global telecom operations.

Join a lean team with a focus on performance, reliability, and ML-powered fraud detection. You will influence architecture, optimize pipelines, and ship code to production multiple times daily.

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