Bland
Senior Infrastructure Engineer
$120K–$200K
San Francisco · Senior · Full-time · Posted Mar 25, 2026
- Experience
- 5+ years building and scaling distributed systems.
About the job
Build and operate distributed infrastructure for high-volume, low-latency AI phone conversations, including ML inference, telephony integrations, and platform reliability.
What you'll do
- Design and scale Kubernetes-based distributed systems for real-time voice processing.
- Build and optimize ML training and inference infrastructure across multiple regions; integrate enterprise telephony systems, SIP trunks, and VoIP.
- Implement monitoring, incident response, security, and compliance measures to maintain reliability as call volumes grow.
What they ask for
- 5+ years building and scaling distributed systems, with deep knowledge of cloud infrastructure.
- Experience with high-throughput, low-latency workloads, streaming, real-time processing, or similar.
- Experience at fast-growing companies, handling varied responsibilities and solving problems as they arise.
Nice to have
- Cloud infrastructure experience with AWS/GCP.
- Familiarity with listed tools/components such as Kubernetes, Go, Terraform, and Datadog.
Pay
$120,000-$200,000 (currency not stated; compensation range; base salary or total pay not stated); $120K – $200K (currency not stated; compensation; base salary or total pay not stated)
Tools
Kubernetes, AWS, GCP, Cloudflare, HAProxy, Go, TypeScript, Datadog
AI focus
Build and optimize infrastructure for AI models, including training pipelines and real-time inference serving across multiple regions.
Model-written summary · the original posting is authoritative