Senior Infra Engineer — Real-Time ML & Telephony Equity

About the Role: As a Senior Infrastructure Engineer at Bland, you'll help us to build the backbone that enables millions of AI-powered phone conversations. You're not just keeping servers running, you're architecting distributed systems that handle real-time voice processing, scale ML inference, and integrate with enterprise telephony infrastructure. Your work directly determines whether our platform can handle business-defining call volumes for our customers, or leaves them with dead air.

What You'll Do: Contribute to the designing of scalable architecture : Build distributed systems using Kubernetes that handle high-volume, real-time voice processing with strict latency and reliability requirements. Build and Support ML infrastructure : Create and optimize the infrastructure supporting our AI models, from training pipelines to real-time inference serving across multiple regions. Integrate with telephony : Maintain robust connections between our platform and complex enterprise phone systems, SIP trunks, and VoIP infrastructure. Recognize Flaws, Control for them: We’re building a new type of architecture that takes something from Column A, and Column B. We’re never going to get it perfect, so you’ll be helping us keep a look out for what we need to solve. Ensure reliability : Implement monitoring, alerting, and incident response systems that keep our platform running 24/7 with enterprise-grade uptime. Scale with growth : Anticipate and solve scaling challenges before they become problems—our call volume grows exponentially and infrastructure needs to stay ahead. Security and compliance : Implement security best practices and compliance requirements for enterprise customers in regulated industries. Interesting Problems to Own Old-Meets-New: Telephone calls have been around for awhile. Now with an explosion in modern technologies - comes interesting new ways to wrangle old-school protocols and techniques. You’ll have the space to be creative and really own a new emergent type of architecture. Sizable Call Volumes requires new approaches : Understand and deeply invest in ensuring that we match any amount of customer’s customers call volume! We need unique solutions, that you’ll help us discover along the way. Streaming Architectures: On top of building to support our APIs, you’ll also be building to helping maintain the reliability, failover, and scaling of our important stream-based traffic.

What Makes You a Great Fit: Infrastructure expertise : 5+ years building and scaling distributed systems, with deep knowledge of cloud infrastructure (AWS/GCP preferred).You “get” the fundamentals, and beyond: For example, you can casually tell someone how TLS works beyond buzzwords, do a quick sketch of how different load balancing strategies work, or even tell us the obscure thing you fell asleep reading about last night. There isn’t a blank stare, there’s an excitement to share. Real-time systems experience : You've built systems that handle high-throughput, low-latency workloads, streaming, real-time processing, or similar. Startup mentality : You've worked at fast-growing companies where you wear multiple hats and solve problems as they come up. You’re opinionated, but you’re not alienating: You accept that opinions drive progress, but you don’t intend to break into alienating discussions at the risk of not finding compromises for our customers. You’re familiar with some tools/components like: Cloudflare, HAProxy, Go, TypeScript, Datadog, Terraform, Docker, Kubernetes, Nvidia Hardware (nvlink for example), and anything in between.

Bonus Points If You Have: Experience with telephony systems (SIP, VOIP, WebRTC.)Background in ML infrastructure, model serving, or GPU computing. Experience with real-time audio/video processing. Benefits and Pay: Healthcare, dental, vision, all the good stuff Meaningful equity in a fast-growing company Every tool you need to succeed Beautiful office in Jackson Square, SF with rooftop views If you don't have the perfect experience that is fine! We're a bunch of drop-outs and hackers. Working at a start-up is really hard. We work a lot and we figure things out on the fly.

Compensation Range: $120,000-$200,000