Develop, maintain, and enhance telephony applications and services based on Asterisk and VoIP technologies.
Design and implement integrations between telephony platforms and internal/external applications using APIs, AMI, ARI, AGI, WebSocket, and related technologies.
Build backend services to support voice automation, AI Voice Bot, Call Center, and communication platforms.
Troubleshoot and optimize SIP signaling, RTP media flow, call routing, and telephony performance issues.
Collaborate with Product, Engineering, and Infrastructure teams to deliver scalable voice communication solutions.
Develop and maintain REST APIs, microservices, and system integrations related to telephony services.
Participate in system architecture discussions and contribute to technical design decisions.
Create and maintain technical documentation, deployment procedures, and operational guidelines.
Support deployment, testing, monitoring, and maintenance of production telephony environments.
Research and implement new technologies related to AI Voice, Speech Processing, and modern communication platforms.
Job Requirements
Minimum 2 years of experience as Software Engineer, Backend Engineer, VoIP Developer, Telephony Developer, or similar role.
Strong proficiency in at least one programming language: Golang
Experience developing REST APIs and backend services.
Experience working with Linux-based environments.
Understanding of software development lifecycle, version control, and deployment processes.
Familiar with SQL and/or NoSQL databases.
Understanding of SIP, RTP, VoIP, and telephony concepts.
Experience working with Asterisk and related technologies.
Able to perform troubleshooting and root cause analysis independently.
Good communication and problem-solving skills.
Preferred Qualifications
Experience integrating Asterisk using AMI, ARI, AGI, or FastAGI.
Experience with SIP Trunk, IP Phone, Call Center, or PBX platforms.
Experience building telephony, contact center, or communication platforms.
Familiar with WebRTC, FreeSWITCH, Kamailio, or OpenSIPS.
Experience integrating AI Voice Agent, Speech-to-Text (STT), Text-to-Speech (TTS), or conversational AI solutions.
Familiar with Docker, Kubernetes, RabbitMQ, Redis, or microservices architecture.
Understanding of telecommunication infrastructure and enterprise voice solutions.
