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Software Engineering Specialist

ExperisCity, London🇬🇧United Kingdom

Why this role stands out

This hybrid role offers a unique opportunity to build cutting-edge communication platforms, integrating traditional telephony with cloud-based AI using Java and Speech AI technologies. You'll thrive here if you have a strong Java background and experience with SIP and media engines, eager to develop your skills in a dynamic, multi-cloud environment. Apply now to shape the future of voice services!

Quick overview

SeniorityMid Senior
Employment typeTemporary/Casual
Work modeHybrid
LocationCity, London, United Kingdom
DockerGCPOracleAWSNLPGoogle CloudJavaAzureKubernetes

Job description

Software Engineering Specialist
6 months
Hybrid
Inside IR35 - umbrella only
We are seeking a Voice Services Developer to build, maintain, and optimize our next-generation communication platforms. You will bridge the gap between traditional telecommunication protocols and modern cloud-based AI. Your core focus will be developing stable SIP services using Java, managing open-source media engines, and integrating advanced Speech AI technologies across multi-cloud environments.
Key Responsibilities

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


Required Skills & Qualifications

  • Core Language: Professional experience with Java, including multi-threading and network programming.
  • In depth knowledge of Java
  • Good knowledge of java applications using JAIN SLEE framework, SIP Servlet Frameworks
  • Telephony Engines: Hands-on experience configuring and scripting with FreeSWITCH or Asterisk.
  • Voice Protocols: Solid understanding of SIP, RTP/RTCP, and SDP.
  • Speech AI: Experience integrating cloud speech APIs (e.g., AWS Transcribe/Polly, Azure Speech, Google Cloud Speech-to-Text).
  • Multi-Cloud Exposure: Experience deploying and managing applications on AWS, Azure, and GCP.
  • Tools: Proficiency with Wireshark or sngrep for VoIP troubleshooting.


Preferred Qualifications

  • Experience with Java telephony frameworks like Metaswitch Rhino SLEE or Oracle OCCAS.
  • Understanding of containerisation using Docker and Kubernetes in cloud environments.

If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

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