Senior Software Engineer, Infrastructure

PRESENT PRESENT
San Francisco, CA, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Cloud Computing Autoscaling AI Platforms Kubernetes Terraform Data Pipelines

Job description

Working here means running infrastructure for AI voice agents that handle scheduling, intake and triage, so the engineer gains exposure to serving AI workloads at scale. That includes autoscaling for variable call traffic and observability across AI driven services. Building this experience starts with strong Terraform, Kubernetes and pipeline work, then learning how AI services are deployed and monitored in production.

Requirements

The role centers on running the cloud infrastructure behind a voice AI platform for medical practices: CI/CD pipelines, infrastructure as code with Terraform, Kubernetes, autoscaling, observability and cost control. A strong candidate has several years of hands on production infrastructure work and treats manual steps as problems to automate. Clear communication matters because much of the job is unblocking other engineers and sharing on call duties.

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