Software Engineer (Voice)

At Bandwidth , we shape how the world connects. We're the global communications software company and Tier 1 network operator with global reach. The voice, messaging, and emergency services infrastructure behind the brands and apps you use every day.

• Design, build, and operate services that power inbound/outbound call control, BXML processing, webhooks, and real-time media (e.g., WebSocket media streaming, WebRTC endpoints via BRTC).
• Contribute to APIs and SDKs (REST, webhooks, SDKs across Node, Python, Java, and others) that developers use to build voice applications.
• Work cross-functionally with product managers, senior engineers, and support teams to ship features like conferencing, TTS/IVR, call recording and transcription, and answering machine detection.
• Troubleshoot and improve the performance, reliability, and scalability of high-volume, low-latency voice infrastructure.
• Participate in code reviews, design discussions, and on-call rotations; write tests and documentation to a high bar.
• Use AI tools effectively across the development lifecycle, holding AI-generated code to the same security, style, and compliance standards as human-written code.
• 2–4 years of professional software engineering experience, ideally with distributed systems or APIs operating at scale.
• Proficiency in Java (or a comparable statically typed language) and comfort working with REST APIs, webhooks, and asynchronous/event-driven systems.
• Familiarity with cloud infrastructure (AWS or similar) and SQL/relational data stores.
• Solid debugging and analytical skills — able to trace issues through multi-service, real-time systems.
• Clear communicator who can collaborate with both technical and non-technical stakeholders.
• Eagerness to learn telecom/real-time media concepts (SIP, WebRTC, media streaming) — prior experience is a plus, not a requirement.
• Experience with real-time communications technologies: WebRTC, SIP, RTP/media streaming, or VoIP.
• Exposure to monitoring/observability tooling (e.g., Datadog) and infrastructure as code (Terraform).
• Familiarity with modern CI/CD practices (e.g., GitHub Actions).
• Experience with high-throughput, low-latency systems or telecom/CPaaS platforms.

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