Bandwidth
Software Engineer (Voice)
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.
- Website
- bandwidth.com
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?