MUST BE BASED IN SEATTLE
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.
What You’ll Do
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.
What You Need
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).
Bonus Points
Experience with real-time communication systems (e.g., WebRTC, SIP, or voice AI platforms).
Knowledge of telecom, emergency services, or regulated environments.
Familiarity with multi-tenant and multi-region architectures.
Benefits
Competitive salary and meaningful equity
Medical, dental & vision insurance coverage
Unlimited PTO
WFH stipend for your home office
Relocation stipend
Ready to Help Fix 9-1-1?
If you’re excited about improving critical infrastructure, scaling real-time AI systems, and doing work that genuinely helps people — we’d love to talk.
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