
Telephony Engineer
Posted 23 hours ago

Posted 23 hours ago
This is a fully remote position, open to applicants in Kazakhstan.
• Design and modernize the telephony infrastructure.
• Collaborate with telecom providers across the US, LATAM, and Europe.
• Optimize telecom resources and costs.
• Create call-handling systems from the ground up for both outbound and inbound traffic.
• Develop integration solutions with the AI platform.
• Enhance reliability, scalability, and fault tolerance.
• Manage high call volumes utilizing Kamailio/OpenSIPS and rtpengine.
• Engage in 2nd- and 3rd-level support responsibilities and participate in on-call rotation.
• 5 to 10 years of experience in VoIP and telephony engineering.
• In-depth knowledge of the SIP protocol, including messaging, methods, response codes, and SDP.
• Proficient in troubleshooting signaling and media issues, including NAT and RTP.
• Familiarity with FreeSWITCH, Asterisk, or other B2BUA technologies, including architecture, dialplan development using Lua/XML/conf, SIP profiles, gateways, modules, and performance optimization.
• Experience in developing utilities, tools, and management services for VoIP infrastructure.
• Proficient in at least one programming language.
• Strong understanding of networking concepts, including TCP/IP and RTP/RTCP.
• Ability to perform traffic analysis using tcpdump, Wireshark, and sngrep.
• Solid Linux administration skills, particularly with Debian or Ubuntu.
• Experience with the Go programming language.
• Familiarity with Kamailio, OpenSIPS, or rtpengine.
• Knowledge of CI/CD, Docker, Ansible, and Kubernetes.
• Experience with large-scale telephony systems.
• Familiarity with ESL and Sofia.
• Experience with Node.js for integration services, FreeSWITCH ESL interaction, and REST API development.
• Background in voice biometrics projects.
• 21 vacation days plus public holidays and 5 sick days.
• Private English lessons through Preply.
• Fully remote work available throughout Europe.
• Access to a cutting-edge tech stack: Speech Technologies, NLP, Generative AI (LLMs, diffusion models), and voice-first agentic architecture with a focus on privacy-first and on-premises deployment.
• Opportunities for rapid career advancement.
• A dynamic startup environment with the stability of an enterprise—real clients, real revenue, and no bureaucracy.
Northrop Grumman
Databricks
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