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Senior Software Engineer, Voice AI - Utah

Podium

Salary not specified
Sep 10, 2025
Lehi, UT, US
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Podium is looking to build and scale its Voice AI platform to handle hundreds of thousands of customer calls every month, enabling local businesses to automate call handling, book more appointments, and serve customers more effectively.

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.
  • 5+ years of experience contributing to the architecture and design of large-scale platforms or high-throughput systems.
  • Experience with real-time communication technologies (e.g., SIP, WebRTC, telephony APIs, streaming systems).
  • A track record of building reliable, production-grade services at scale.
  • Familiarity with cloud-native architectures and operational excellence (Kubernetes, monitoring, alerting, incident response).
  • Comfort working with data pipelines and system integrations at scale.

Responsibilities

  • 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.

Other

  • This position will be onsite, 5 days a week.
  • 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.