Software Engineering Specialist

Experis

London, UK

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.experis.co.uk

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure VoIP System Configuration Java APIs for Integrated Networks Java Servlet Oracle (Applications) Wireshark Speech Recognition

+8 more

Scripting Google Cloud Java Application Server Cloud Platform System Multi-Cloud Rhino Containerization Docker

Job description

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., * 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.

Requirements

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.