Sr. Software Developer (Infrastructure)

Who We Are: Bandwidth , a prior “Best of EC” award winner, is a global software company that helps enterprises deliver exceptional experiences through voice, messaging, and emergency services. Reaching 65+ countries and over 90 percent of the global economy, we're the only provider offering an owned communications cloud that delivers advanced automation, AI integrations, global reach, and premium human support. Bandwidth is trusted for mission-critical communications by the Global 2000, hyperscalers, and SaaS builders! At Bandwidth, your music matters when you are part of the BAND. We celebrate differences and encourage BANDmates to be their authentic selves. #jointheband What We Are Looking For: A Sr. Software Developer (Infrastructure) that will help us build the platform and tools that help Bandwidth engineers ship better software, faster. Bandwidth powers brands like Google, Microsoft, Zoom, and GoDaddy with intelligent voice, messaging, 911 access, and phone number services, all on our own nationwide, all-IP network. We're the infrastructure layer that global enterprises trust to connect their customers. Our Software Infrastructure team owns the "paved road." The platform, tools, and systems that let every Bandwidth engineer build and ship with confidence. We're looking for someone who wants to help take that further: an engineer who sees AI not as a tool to adopt, but as a platform to build. You'll play a key role in helping make Bandwidth an AI-first engineering organization. What you'll do Design and operate Bandwidth's AI infrastructure layer, including our LLM gateway, model routing, and cost controls, so every engineering team can experiment with AI tools safely and cheaply. Build and maintain the "paved road" of developer tooling and platform services that help engineers ship faster with less friction. Drive adoption of AI coding tools (Claude Code, Copilot, and others) by building enablement systems, prompt libraries, MCP server integrations, and internal tooling that make AI feel obvious, not optional. Connect AI to the systems engineers already use (Jira, Confluence, Slack, GitHub) so context flows to wherever work happens. Measure what actually matters: engineer velocity, build times, reversion rates, and real shipping outcomes. Not vanity metrics. Stay ahead of the curve on agentic workflows, helping teams evolve from writing every line of code to orchestrating AI systems that handle the toil. What you need 5+ years of experience building and operating web services in production Hands-on experience with cloud infrastructure, especially AWS Strong coding skills in Python, Go, TypeScript, or similar Experience with platform services: CI/CD, secrets management, developer portals, internal tooling Familiarity with LLM APIs and the tradeoffs involved in model routing, token cost management, and AI observability Experience building tools or services that other engineers depend on day-to-day A results-driven mindset. You close the loop, you ship, you measure. Bachelor's degree or equivalent experience Bonus points You've built or operated an LLM proxy, AI gateway, or model routing layer You've worked on a Developer Experience or Software Platform team before You've written infrastructure as code (Terraform, CDK, CloudFormation) You've built MCP servers or integrated AI tools with internal systems like Jira, Slack, or GitHub You've built tools or services other developers actually use (open source counts) You've worked in a startup or high-ambiguity environment where you had to define the requirements yourself Why this role is different The AI landscape is moving fast. We're not looking for someone to standardize a single tool. This team is helping build the infrastructure layer that makes every tool possible. The LLM gateway, the MCP server integrations, the internal tooling that lets engineers experiment without bottlenecks: that's this team's contribution to where Bandwidth is he ... (truncated, view full listing at source)