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Bandwidth

Software Engineer (Voice)

Raleigh, NCmidAdded today

About this role

Bandwidth is seeking a Software Engineer to build and operate voice connectivity systems that process billions of calls monthly. You'll own full-stack development of distributed microservices powering reliable voice infrastructure, leveraging AI throughout the development lifecycle while collaborating across teams in an agile environment.

What you'll do

  • Design and develop web services and microservices architectures handling live customer voice traffic
  • Own code end-to-end from design through production operations and monitoring
  • Automate voice provisioning, configuration, and lifecycle management across downstream systems
  • Collaborate with product teams to ship features that scale reliably across the network
  • Review and write AI-generated code with security and compliance rigor
  • Drive innovation in voice communications infrastructure

What they're looking for

  • Java, C#, or Go programming
  • Distributed microservices and service-oriented architectures
  • IP networking, HTTP, and REST protocols
  • Test automation frameworks and patterns
  • Relational and non-relational databases
  • AI and AI agent development
  • AWS or cloud platform engineering
  • Docker and Kubernetes containerization

Benefits

  • 100% company-paid medical, vision, and dental coverage with low deductibles
  • Four weeks of PTO for new hires with guaranteed embargo protection
  • Additional PTO earned through volunteer hours and company challenges
  • Life milestone time off (weddings, home purchases, graduations, anniversaries)
  • 90-minute workout lunches and unlimited nutritionist consultations
  • Collaborative, authentic work culture with focus on work-life balance
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Bandwidth

Bandwidth builds next-generation communications products powered by AI and intelligent automation technologies. The company is hiring NetSuite developers and AI engineers to design automation solutions, prototype advanced AI/ML systems, and develop cutting-edge communications capabilities.

View all jobs at Bandwidth

Likely interview questions

  • Walk us through a microservice you designed end-to-end—what tradeoffs did you make for scalability and reliability?
  • How have you used AI tools in your development workflow, and how do you ensure quality in AI-generated code?