About the role
As a Senior Infrastructure Engineer at Bland, you'll help build the backbone enabling millions of AI-powered phone conversations. You'll architect distributed systems handling real-time voice processing, scale ML inference, and integrate with enterprise telephony infrastructure. Your work determines whether our platform can handle business-defining call volumes or leaves customers with dead air. You'll contribute to designing scalable architecture using Kubernetes, build and support ML inference
Requirements
5+ years building and scaling distributed systems with deep knowledge of cloud infrastructure (AWS/GCP preferred). Experience building systems that handle high-throughput, low-latency workloads, streaming, or real-time processing. Familiarity with tools like Cloudflare, HAProxy, Go, TypeScript, Datadog, Terraform, Docker, Kubernetes, Nvidia Hardware. Startup mentality with ability to wear multiple hats. Bonus: telephony experience (SIP, VOIP, WebRTC), ML infrastructure, GPU computing, real-time
About the company
Bland
Bland offers Voice AI solutions specifically designed for regulated industries like healthcare, insurance, and financial services. Their platform provides secure, reliable, and scalable AI agents that can automate high-stakes phone calls, integrate with existing systems, and ensure data privacy. Bland empowers businesses to enhance customer service, increase efficiency, and drive revenue by automating complex communication scenarios.
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