Infrastructure Engineer
About The Position
Simple AI builds AI voice agents that handle real customer conversations over the phone. Our agents help businesses generate revenue and improve customer retention. We’re hiring a Platform Engineer to build and run the infrastructure behind those conversations. Real-time voice has demanding reliability requirements: latency is immediately noticeable, calls are stateful, and deployments need to happen without interrupting customers. You’ll work directly with the founders and engineering team to make our platform reliable, scalable, and easy to build on. This is a hands-on engineering role with meaningful ownership over infrastructure architecture and how we ship software.
Requirements
- Hands-on experience running Kubernetes and AWS infrastructure in production.
- Strong Terraform experience, including maintainable modules, state management, and safe infrastructure changes.
- A solid understanding of Linux, containers, networking, and distributed systems.
- Experience building CI/CD pipelines and operating services through deployments, incidents, and growth.
- Ability to write software and automation in a language such as Python, Go, or TypeScript.
- Good judgment about when to introduce new infrastructure and when to keep things simple.
- Someone who takes ownership, communicates clearly, and follows problems through to a lasting fix.
Nice To Haves
- Experience with Argo CD, Helm, or other GitOps tooling.
- Familiarity with real-time audio, SIP, WebRTC, or other latency-sensitive systems.
- Experience operating PostgreSQL, Redis, queues, and background workers.
- Experience deploying GPU workloads or self-hosted AI inference.
- Familiarity with infrastructure security and supporting SOC 2 requirements.
Responsibilities
- Build and operate AWS infrastructure using Terraform and Kubernetes, including EKS clusters, networking, IAM, load balancing, and secrets management.
- Develop reusable infrastructure modules and consistent development, staging, and production environments.
- Build deployment workflows with automated checks, clear deployment visibility, and reliable rollbacks.
- Design autoscaling and graceful shutdown behavior for services handling long-running voice conversations.
- Improve observability across infrastructure and application services, with useful dashboards, actionable alerts, and clear reliability and latency metrics.
- Investigate production issues, improve incident response, and address recurring problems at their source.
- Partner with application and AI engineers to deploy new services, improve performance, and manage infrastructure costs.
- Make it easier for engineers to provision resources, deploy changes, and debug their services safely.
Benefits
- Competitive salary & meaningful equity
- Employee-friendly equity terms
- An office located in SF
- Health, dental & vision insurance
- Free lunch & dinner at the office
- Late night Ubers
- Regular team events & offsites
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
