Infrastructure Engineer

Plura AI; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Plura AI is seeking an experienced Cloud Infrastructure Engineer to own the cloud foundation that powers our large-scale AI conversations platform. You will build reliable runtimes, deliver automation, and provide operational visibility to keep workloads running smoothly at scale.

You will operate Kubernetes clusters in production, develop CI/CD pipelines, and create observability systems to surface platform health and runtime behavior.

Qualifications

• Experience operating cloud infrastructure for high-scale production systems.
• Practical Kubernetes experience, including cluster deployment or operations.
• Experience designing or maintaining CI/CD pipelines.
• Familiarity with observability systems for monitoring, troubleshooting, and reliability.

Responsibilities

• Build and operate Kubernetes clusters for production AI workloads.
• Develop and maintain CI/CD pipelines for reliable software delivery.
• Create observability systems that provide visibility into platform health and runtime behavior.
• Help ensure infrastructure can support millions of concurrent conversations.

Skills

Cloud infrastructure

Production systems

Observability concepts

Reliability mindset

Tools

Kubernetes

CI/CD pipelines

Job description

Role overview

Own the cloud infrastructure supporting a large-scale platform for concurrent AI conversations. This role focuses on building dependable runtime foundations, delivery automation, and operational visibility so conversational workloads can run reliably at scale.

Responsibilities

• Build and operate Kubernetes clusters for production AI workloads.
• Develop and maintain CI/CD pipelines for reliable software delivery.
• Create observability systems that provide visibility into platform health and runtime behavior.
• Help ensure infrastructure can support millions of concurrent conversations.

Requirements

• Experience operating cloud infrastructure for high-scale production systems.
• Practical Kubernetes experience, including cluster deployment or operations.
• Experience designing or maintaining CI/CD pipelines.
• Familiarity with observability systems for monitoring, troubleshooting, and reliability.