Senior Java Backend Engineer - 30+ Microservices

Telnyx LLC; Austin (TX); On-site; USD 120,000 - 190,000; Full time

Job summary

Telnyx LLC is seeking a senior Java backend engineer to join our backend team. You will work on a distributed data pipeline powering Telnyx products like Voice, Messaging and Wireless, using a cloud-agnostic data platform and a private backbone network.

You will optimize performance, architect low-latency services across global locations, and contribute to fraud detection using Kafka Streams. The role involves deploying to multi-cloud Kubernetes and frequent production releases.

Qualifications

• Degree in Computer Science, Information Technology, or equivalent work experience.
• 4+ years of experience with Java and its ecosystem.
• Experience with databases such as Cassandra, ClickHouse, or OpenSearch.
• Experience with AI tooling or a 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 — currently process 10k messages/sec and growing.
• Architect our services and pipelines to minimize latency across locations (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

Scala

AI tooling exposure

Distributed systems

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

Kafka

Git

Linux

OpenSearch

Cassandra

ClickHouse

Job description

Telnyx LLC is seeking a senior Java backend engineer to join our backend team. You will work on a distributed data pipeline powering Telnyx products like Voice, Messaging and Wireless, using a cloud-agnostic data platform and a private backbone network.

You will optimize performance, architect low-latency services across global locations, and contribute to fraud detection using Kafka Streams. The role involves deploying to multi-cloud Kubernetes and frequent production releases.