Podium

Senior Software Engineer, Voice AI

Podium

full-time

Posted on:

Origin:  • 🇺🇸 United States • Utah

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Job Level

Senior

Tech Stack

CloudDistributed SystemsElixirGoKubernetesPython

About the role

  • Build and scale a Voice AI platform capable of handling hundreds of thousands of calls per month with high reliability and low latency.
  • Design, develop, and maintain services and APIs that power real-time conversations.
  • Drive the full lifecycle of software development—from architecture and implementation to deployment and ongoing reliability.
  • Prototype quickly, iterate based on real-world performance, and optimize for both scale and customer experience.
  • Implement observability, monitoring, and operational best practices to ensure reliability in production.
  • Collaborate with engineers, product managers, and designers to deliver end-to-end features that power critical business outcomes.

Requirements

  • 6+ years of professional software engineering experience with at least one modern language such as Go, Python, or Elixir.
  • Proven experience designing and maintaining large-scale, distributed, or real-time systems.
  • Strong problem-solving skills and the ability to break down complex issues into clear, iterative solutions.
  • Excellent communication skills and the ability to work effectively across teams.
  • A willingness to work across the entire stack—from infrastructure to APIs to user-facing components—wherever the problem needs solving.
  • Ability to thrive in a fast-paced environment with shifting priorities.
  • (Preferred) 5+ years of experience contributing to the architecture and design of large-scale platforms or high-throughput systems.
  • (Preferred) Experience with real-time communication technologies (e.g., SIP, WebRTC, telephony APIs, streaming systems).
  • (Preferred) A track record of building reliable, production-grade services at scale.
  • (Preferred) Familiarity with cloud-native architectures and operational excellence (Kubernetes, monitoring, alerting, incident response).
  • (Preferred) Comfort working with data pipelines and system integrations at scale.
  • (Preferred) Strong written communication skills for documenting designs, decisions, and operational playbooks.