Why This Role Stands Out
This role offers a unique opportunity to build cutting-edge communication platforms, bridging traditional telephony with advanced AI, and you'll thrive here if you have a strong Java background with expertise in SIP and media servers. Embrace the hybrid work model and contribute to innovative projects that will significantly advance your skills in a reputable technology company.
Quick Overview
Job Description
Software Engineer/Developer - Voice Services
Flint are currently seeking a Software Engineer/Developer to build, maintain, and optimize our client's 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 (eg, 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.
- Knowledge of WebRTC and telephony security standards like TLS and SRTP.
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