At Bland.com, our goal is to empower enterprises to make AI-phone agents at scale. Based out of San Francisco, we're a quickly growing team striving to change the way customers interact with businesses. We've raised $65 million from Silicon Valley's finest investors.
About the Role
As a Senior Infrastructure Engineer at Bland, you'll help us build the backbone that enables millions of AI-powered phone conversations. You'll architect distributed systems that handle real-time voice processing, scale ML inference, and integrate with enterprise telephony infrastructure.
Key Responsibilities
Contribute to designing scalable architecture using Kubernetes for high-volume, real-time voice processing
Build and support ML infrastructure for AI models, from training pipelines to real-time inference serving
Maintain robust connections between our platform and complex enterprise phone systems
Implement monitoring, alerting, and incident response systems for 24/7 platform reliability
Anticipate and solve scaling challenges as call volume grows exponentially
Implement security best practices and compliance requirements for enterprise customers
Required Qualifications
5+ years building and scaling distributed systems with deep knowledge of cloud infrastructure (AWS/GCP preferred)
Experience with real-time systems that handle high-throughput, low-latency workloads
Startup mentality with experience at fast-growing companies
Familiarity with tools like Cloudflare, HAProxy, Go, TypeScript, Datadog, Terraform, Docker, Kubernetes
