IT & Software

Software Engineer / Developer - Voice Services

Flint Technology Services

Ipswich · England · United Kingdom

Salary: £76,000 - 97,000 per year

Requirements

  • Professional experience with Java, including multi-threading and network programming.
  • In-depth knowledge of Java.
  • Experience using JAIN SLEE and SIP Servlet frameworks for Java applications.
  • Hands-on experience configuring and scripting with FreeSWITCH or Asterisk.
  • Solid understanding of SIP, RTP/RTCP, and SDP.
  • Experience integrating cloud speech APIs such as AWS Transcribe/Polly, Azure Speech, and Google Cloud Speech-to-Text.
  • Experience deploying and managing applications on AWS, Azure, and GCP.
  • Proficiency with Wireshark or sngrep for VoIP troubleshooting.
  • Experience with Java telephony frameworks such as Metaswitch Rhino SLEE or Oracle OCCAS.
  • Understanding of containerisation using Docker and Kubernetes in cloud environments.
  • Knowledge of WebRTC and telephony security standards like TLS and SRTP.

Responsibilities

  • Develop, test, and maintain mid-to-high performance SIP-based voice services using JAIN SLEE and SIP Servlets.
  • Configure, manage, and scale FreeSWITCH or Asterisk communication engines.
  • Implement Speech-to-Text (STT), Text-to-Speech (TTS), and Natural Language Processing (NLP) workflows into live voice streams.
  • Deploy and monitor voice applications across AWS, Azure, and Google Cloud Platform (GCP).
  • Use network analysis tools to diagnose audio quality issues, call drops, and latency problems.Work alongside senior architects and DevOps teams to roll out scalable conversational AI bots.

Technologies

  • AI
  • AWS
  • Asterisk
  • Azure
  • Cloud
  • DevOps
  • Docker
  • GCP
  • Java
  • Kubernetes
  • Network
  • Oracle
  • Security

More

Flint are seeking a Software Engineer/Developer to build, maintain, and optimize our clients next-generation communication platforms. We bridge the gap between traditional telecommunication protocols and modern cloud-based AI, with a core focus on stable SIP services, open-source media engines, and advanced Speech AI technologies across multi-cloud environments.

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Reference: WJ-766_22565430

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