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Software Engineering Specialist

Job in City of London, Central London, Greater London, England, UK
Listing for: Experis
Full Time position
Listed on 2026-09-17
Job specializations:
  • Software Development
    Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 300 - 400 GBP Daily GBP 300.00 400.00 DAY
Job Description & How to Apply Below
Location: City of London

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 Free SWITCH 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 Dev Ops 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 Free SWITCH 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 Manpower Group website
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