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# Software Engineer

- **Company:** Bandwidth.com, Inc.
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Apache ActiveMQ, Artificial Intelligence, Amazon Web Services, Amazon S3, Automation of Tests, C Sharp (Programming Language), Cloud Computing, Code Generation, Code Review, Cursor (Graphical User Interface Elements), Software Debugging, Distributed Systems, Fault Tolerance, Hypertext Transfer Protocols (HTTP), Network Protocols, Performance Tuning, Software Engineering, GitHub Copilot, ReactJS, System Availability, Apache Kafka, Non-relational Database, Front End Software Development, Functional Programming, Api Gateway, Restful APIs, Amazon Simple Queue Service (SQS), Programming Languages
- **Published:** September 24, 2026
- **Apply:** https://startup.jobs/sr-software-engineer-numbers-bandwidth-2-10170220

## About the Role

* You have 5+ years of experience building web services in a modern programming language (Java strongly preferred; C# or Go also welcome)
 * You have built and deployed applications for the cloud, preferably AWS
 * You have a solid understanding of network protocols, HTTP, and REST API design
 * 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 bring a continuous learning mindset - the tooling, the patterns, and the pace of change don't unsettle you, they excite you. You adapt quickly, absorb new concepts eagerly, and bring others along with you.
 * You are genuinely enthusiastic about AI - you follow the space, you experiment, and you have a point of view on where engineering is heading
 * Actively use AI coding assistants (GitHub Copilot, Cursor, Claude, or similar) in all parts of the software development lifecycle
 * You hold a 4-year technical degree or equivalent experience

Bonus Points:

It would be really great if you also…

 * Have hands-on experience with AWS (ECS, EKS, API Gateway, S3, SQS, Lambda, Aurora)
 * Have some experience with front-end development, preferably React
 * Have experience with messaging brokers (Kafka, ActiveMQ)
 * Have experience working with Agentic coding frameworks like Strands in a professional context
 * Bring a genuine enthusiasm for AI - you follow the field, you form opinions, and you help teammates level up their own AI fluency

## Description

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.

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. We don't treat AI as a future capability. It's how we build now, and we want teammates who feel the same way.

What You'll Do:

 * 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.
 * Identify and solve scaling problems through both application development and infrastructure optimization, ensuring high availability and fault tolerance.
 * 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.
 * Use AI as a core engineering tool - not occasionally, but daily. 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.
 * Drive continuous improvement - look critically at what we're building and how we're building it, and originate ideas that advance both our craft and our platform's reliability.


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