Staff Infrastructure Engineer

About the role

Aurelian builds AI tools that help 911 centers handle more with less, so telecommunicators can stay focused on what matters most and communities get the response they need. AVA is a conversational AI agent that answers non-emergency calls; the agent routes, triages, and resolves the calls without any human intervention. By handling administrative calls like noise complaints, lost dogs, and parking inquiries, AVA eliminates hold times and lets call-takers focus their energy on actual emergencies. CORA supports call-takers on the calls that matter most. CORA is an on-screen assistant that delivers real-time SOP checklists, smart reminders, and contextual guidance as an emergency call unfolds, so dispatchers stay calm, consistent, and confident when every second counts. When AVA detects an emergency mid-call, it transfers the caller to a telecommunicator and passes along the caller details, location, incident type, and key statements directly into CORA. The call-taker never starts from scratch.

Responsibilities

• Build out analytics infrastructure using ClickHouse to handle massive increases in traffic and increasingly complex queries.
• Create observability tools to give us as much visibility as possible into where calls go wrong in production.
• Develop developer tooling such as testing frameworks, CLIs, automations, etc. that help our team move quickly with AI coding tools without sacrificing reliability or confidence.

Requirements

• 6+ years of experience in infrastructure, platform, or backend engineering roles, ideally at companies where reliability and scale are serious challenges.
• Comfortable across areas of the stack from backend application code to cloud infrastructure.
• Excited by the challenges of building AI systems at scale.

Qualifications

• Strong understanding of distributed systems, microservices architecture, and cloud-native technologies.
• Experience with ClickHouse, Prometheus, Grafana, and similar observability tools.
• Familiarity with CI/CD pipelines and automation tools.
• Excellent problem-solving skills and ability to work independently and collaboratively.

Skills

• Proficiency in Python, Go, or equivalent languages.
• Experience with Kubernetes, Docker, and container orchestration.
• Knowledge of SQL and NoSQL databases.
• Understanding of machine learning and natural language processing concepts.

Benefits

• Comprehensive Medical, Dental, Vision & Life insurance
• 401(k)
• Unlimited PTO
• Company-wide offsites
• Equipment stipend
• Relocation assistance
• Daily delivered lunches (on us)
• Office in Seattle

Pay

Range: $200K - $300K

Schedule

Full-time position