Bandwidth
Sr. Software Engineer (Numbers)
Raleigh, NC · Senior
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About the role
- 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.
- And as communications shifts to AI, we're the infrastructure layer making it possible.
Responsibilities
- Own your services end-to-end - from design and development to testing, operations, and production monitoring. You build it, you run it.
- Create and maintain REST APIs (Java/Spring), customer-facing dashboards (React), and the cloud infrastructure (AWS) that powers the Numbers platform.
- Lead solutions from start to finish, collaborating across teams to iteratively ship value aligned to customer and business needs.
- Mentor junior and mid-level developers through productive code reviews, thoughtful design discussions, and by modeling the engineering standards you want to see on the team.
- Partner with product owners and stakeholders to translate requirements into well-designed, maintainable solutions - contributing to feature sizing and technical roadmap discussions.
- You reach for AI assistants in code generation, design exploration, debugging, and documentation, and you do it with the confidence of someone who knows the fundamentals well enough to lead the AI, not just follow it.
- Bring a genuine enthusiasm for AI - you follow the field, you form opinions, and you help teammates level up their own AI fluency
Requirements
- You are the right candidate if you thrive with mission-focus, enjoy solving complex problems at scale, and are energized - working in an environment where AI is woven into how great engineers work every day.
- You are the right candidate if…
- You have built and deployed applications for the cloud, preferably AWS
- You have experience designing and working with distributed systems
- You have experience with relational and non-relational database systems
- You have experience with scale, performance optimization, and building for fault tolerance
- You have experience with test automation patterns and frameworks
- You are genuinely enthusiastic about AI - you follow the space, you experiment, and you have a point of view on where engineering is heading
- You hold a 4-year technical degree or equivalent experience
- Have hands-on experience with AWS (ECS, EKS, API Gateway, S3, SQS, Lambda, Aurora)
Nice to have
- You have 5+ years of experience building web services in a modern programming language (Java strongly preferred
- C# or Go also welcome)
Benefits
- You bring a continuous learning mindset - the tooling, the patterns, and the pace of change don't unsettle you, they excite you.
Company info
- 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.
- Because we own the network we build on, the problems you'll solve here are bigger, more complex, and more impactful. And as communications shifts to AI, we're the infrastructure layer making it possible.
- We call ourselves BANDmates because building something this big takes collaboration, different perspectives, and the freedom to bring your authentic self to the table.
- We're experts who speak like humans. Ready to build what's next? #JoinTheBand
- At Bandwidth, we shape how the world connects.
- Because we own the network we build on, the problems you'll solve here are bigger, more complex, and more impactful.
- We're experts who speak like humans.
- Ready to build what's next? #JoinTheBand
- What We Are Looking For:
- We're looking for a Senior Software Engineer who leads by example - someone who takes deep ownership of what they build, moves fast without cutting corners, and is genuinely excited by the challenge of designing and scaling distributed systems that millions of people depend on.
This listing is sourced directly from Bandwidth's careers page and normalized into a canonical job model.