Infrastructure Engineer

Aurelian

full-time

Posted on: 9/19/2025

Origin: • 🇺🇸 United States • Washington

✨ AI Apply

Mid-LevelSenior

AWSAzureCloudGoogle Cloud PlatformGrafanaKubernetesPrometheusPythonTerraform

About the role

As a Platform Engineer at Aurelian, you’ll help design and scale the infrastructure behind our life-saving voice AI systems. This includes building multi-region, highly available systems, supporting real-time voice workloads, and managing infrastructure for AI models — including containerized GPU workloads.
You’ll play a critical role in ensuring our systems are reliable, fast, and scalable as we continue to expand nationwide.
Scale infrastructure to support millions of voice interactions across U.S. call centers.
Enhance our multi-region architecture to reduce latency and improve uptime.
Design and maintain infrastructure for self-hosted, GPU-based AI workloads.
Improve our monitoring, alerting, and observability to support mission-critical systems.
Collaborate across teams to build deployment pipelines and support product delivery.
Automate infrastructure using Terraform (or similar IaC tools) and manage Kubernetes clusters.

3+ years of experience in DevOps, SRE, or Platform Engineering roles
Proven experience running and managing Kubernetes clusters in production
Experience deploying and operating containerized GPU workloads
Experience with cloud providers (AWS, GCP, or Azure)
Familiarity with observability tools (e.g., Prometheus, Grafana, Datadog)
Solid scripting or programming skills — Python preferred
Versatility and willingness to step outside your domain when needed (e.g., backend contributions)