Senior Technical Lead - Asterisk & Telephony

Accountabilities:

• • Lead the architecture, development, deployment, and ongoing optimization of Asterisk-based VoIP platforms, including dial plans, IVRs, call routing, conferencing, and related voice services.
  • Design and scale highly available telephony infrastructure integrating SIP trunks, codecs, monitoring systems, and real-time communication components.
  • Guide engineering teams in developing and optimizing AGI, ARI, and AMI-based automation, custom call logic, and backend integrations.
  • Lead cloud telephony deployments across AWS, GCP, and/or Azure, with responsibility for reliability, security, scalability, networking, and performance.
  • Own technical direction for complex VoIP troubleshooting, including NAT traversal, QoS, SIP signaling, call quality, and infrastructure incidents.
  • Collaborate with Product, DevOps, Security, and Networking teams to design and deliver robust end-to-end communication solutions.
  • Mentor engineers and developers on Asterisk best practices, software quality, troubleshooting, system design, and architecture.
  • Drive initiatives around telephony analytics, call-quality monitoring, proactive health checks, and operational visibility.
  • Establish and maintain security and compliance practices covering areas such as TLS, SRTP, fraud prevention, and applicable telephony regulations.
  • Maintain comprehensive technical documentation and promote knowledge sharing across the engineering organization.
  • Support the evolution of voice infrastructure toward emerging technologies, including voicebots, conversational AI, real-time media processing, and AI-powered telephony integrations where applicable.

  Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Telecommunications, Engineering, or a related discipline.
  • 10+ years of experience working with telephony and VoIP systems, including 7+ years of hands-on production experience with Asterisk PBX.
  • At least 3 years of experience in technical leadership, managing engineering teams, projects, or technical initiatives within a telephony or VoIP environment.
  • Deep knowledge of SIP, RTP, SRTP, IAX2, DAHDI, codec negotiation, and VoIP troubleshooting, including diagnosing call-quality issues.
  • Strong scripting and development capabilities using Python and Bash, with hands-on experience with AGI, AMI, and ARI interfaces.
  • Strong Linux administration skills and proficiency with CLI-based networking and system-debugging tools.
  • Solid understanding of cloud infrastructure, particularly AWS, GCP, and/or Azure, including load balancing, networking, security, and reliability configurations.
  • Hands-on experience with relational databases such as MySQL, MariaDB, and PostgreSQL, as well as REST API integrations.
  • Experience with monitoring and observability tools such as Grafana, Prometheus, Zabbix, or custom SIP monitoring solutions.
  • Proficiency with packet-level troubleshooting and analysis using Wireshark, tcpdump, and similar tools.
  • Strong architectural thinking, problem-solving, communication, mentoring, and decision-making skills.
  • Ability to operate effectively in a remote environment while collaborating across engineering and cross-functional teams.

  Preferred qualifications:

  • Experience with Kamailio or OpenSIPS as SBCs or SIP routers.
  • Familiarity with WebRTC, contact-center technologies, call recording, and compliance systems.
  • Experience deploying containerized telephony solutions using Docker and Kubernetes.
  • Exposure to compliance and regulatory frameworks such as PCI, HIPAA, GDPR, or CALEA.
  • Experience with voicebot or conversational AI platforms integrated with Asterisk-based telephony systems.
  • Familiarity with Speech-to-Text and Text-to-Speech technologies such as Deepgram, Google Speech, Amazon Polly, or comparable services.
  • Basic knowledge of NLP and LLM technologies used in conversational AI.
  • Experience with real-time RTP audio streaming, media handling, WebSockets, and integrations between telephony systems and AI/ML services.
  • Exposure to building or supporting real-time voice pipelines combining SIP, RTP, WebSockets, and AI inference services.

  Benefits:

  • Fully remote work arrangement.
  • Full-time employment.
  • Opportunity to work on technically complex, mission-critical voice and telephony infrastructure.
  • Senior-level ownership of architecture, scalability, reliability, security, and technical strategy.
  • Exposure to modern cloud telephony, DevOps, observability, automation, and conversational AI technologies.
  • Opportunity to lead and mentor engineering teams while shaping technical best practices.
  • International and cross-functional collaboration in a remote working environment.
  • Opportunity to work at the intersection of telecommunications, cloud infrastructure, software engineering, and AI.