Voice Platform Engineer: SIP, AI & Multi-Cloud

Experis; Greater London; Hybrid; GBP 65,000 - 90,000; Part time

Job summary

Experis is seeking a Voice Services Developer to build and optimize next-generation communication platforms. You will bridge traditional telephony with cloud-based AI, focusing on SIP services, media engines, and Speech AI across multi-cloud environments.

You will work with senior architects and DevOps to deliver scalable voice solutions, integrating STT/TTS and NLP into live streams while supporting hybrid cloud deployments.

Qualifications

• Core language: Java with multi-threading and networking experience.
• In-depth knowledge of Java.
• Experience with JAIN SLEE framework and SIP Servlet Frameworks.
• Hands-on with FreeSWITCH or Asterisk telephony engines.
• Strong understanding of SIP, RTP/RTCP, and SDP.
• Experience with cloud speech APIs (AWS Transcribe/Polly, Azure Speech, Google Cloud Speech-to-Text).
• Experience deploying on AWS, Azure, and GCP.
• Proficiency with Wireshark or sngrep for VoIP troubleshooting.

Responsibilities

• Develop, test, and maintain SIP-based voice services using JAIN SLEE and SIP Servlets.
• Configure and scale FreeSWITCH or Asterisk engines.
• Integrate STT, TTS, and NLP into live streams.
• Deploy and monitor across AWS, Azure, and GCP.
• Troubleshoot audio quality, drops, and latency with network tools.
• Collaborate with architects and DevOps to roll out scalable bots.

Skills

Java

Multi-threading

Network programming

SIP

Speech AI

Tools

JAIN SLEE

SIP Servlets

FreeSWITCH

Asterisk

Wireshark

sngrep

Docker

Kubernetes

Metaswitch Rhino SLEE

Oracle OCCAS

Job description

Experis is seeking a Voice Services Developer to build and optimize next-generation communication platforms. You will bridge traditional telephony with cloud-based AI, focusing on SIP services, media engines, and Speech AI across multi-cloud environments.

You will work with senior architects and DevOps to deliver scalable voice solutions, integrating STT/TTS and NLP into live streams while supporting hybrid cloud deployments.