Senior Software Engineer (Voice Platform), Customer Systems

Join a team building the next generation of large-scale voice and real-time communication platforms that power seamless customer and agent experiences across the globe. In this role, you will lead the design and development of highly scalable distributed systems that handle voice signaling, media processing, routing, and real-time communications for millions of interactions.

We are looking for experienced engineers who are passionate about solving complex technical challenges, driving architecture decisions, and building resilient low-latency systems at scale. You will collaborate across engineering, infrastructure, and product teams to help shape the future of modern communication platforms and customer engagement experiences.

As a Senior Voice Platform Software Engineer, you will play a key role in architecting, developing, and operating scalable voice infrastructure and real-time communication services used in high-volume customer interaction environments. You will work on technologies related to SIP signaling, media handling, WebRTC, distributed systems, and cloud-native platform development.

This role requires strong software engineering fundamentals, deep technical expertise, and the ability to drive complex initiatives across multiple teams. You will contribute to platform architecture, scalability, resiliency, and operational excellence while mentoring engineers and influencing the technical direction of the platform

5+ years of software development experience using C or C++ Experience with real-time communication platforms such as FreeSWITCH, Kamailio, Asterisk, or similar technologies Strong experience developing scalable backend or distributed systems software Strong understanding of networking fundamentals including TCP/IP, HTTP, TLS, load balancing, and distributed system concepts Experience with SIP, RTP, and VoIP technologies Experience troubleshooting production systems and operating highly available services at scale Bachelor’s degree in Computer Science, Computer Engineering, or equivalent practical experience

Experience with WebRTC and modern real-time communication architectures Familiarity with cloud-native architectures and container technologies such as Docker or Kubernetes Experience with scalable event-driven systems and distributed infrastructure technologies such as Kafka or Redis Experience driving technical design discussions and mentoring engineers across teams