Senior AI Platform DevOps Engineer

People in AI; San Diego (CA); On-site; USD 170,000 - 180,000; Full time

Job summary

People in AI in San Diego, CA is hiring a hands-on DevOps/Platform Engineer to design and operate the AI infrastructure that powers production AI services. You’ll work across AWS, Terraform, Kubernetes, and CI/CD pipelines to build scalable, reliable platforms for internal AI applications, including RAG-based systems and enterprise tooling.

The role blends DevOps, SRE, and platform engineering, requiring strong cloud expertise, IaC discipline, and experience deploying containerized workloads in

Qualifications

• Hands-on DevOps/SRE mindset with cloud infra experience.
• Proficient with AWS infrastructure design, deployment, networking, security.
• Strong IaC discipline using Terraform and CI/CD pipelines.

Responsibilities

• Design, build, and maintain production-grade AWS infrastructure supporting internal AI platforms and applications.
• Develop and manage infrastructure as code using Terraform, ensuring environments are scalable, repeatable, and maintainable.
• Build, deploy, and operate containerized applications using Kubernetes, including AWS-managed container orchestration services.
• Design, implement, and optimize CI/CD pipelines using GitHub Actions and modern deployment automation practices.
• Support infrastructure for production AI applications, including RAG-based systems and internal AI services.

Skills

DevOps Engineering

Site Reliability Engineering

Cloud Infrastructure

Platform Engineering

Tools

Terraform

Kubernetes

GitHub Actions

AWS

Job description

People in AI in San Diego, CA is hiring a hands-on DevOps/Platform Engineer to design and operate the AI infrastructure that powers production AI services. You’ll work across AWS, Terraform, Kubernetes, and CI/CD pipelines to build scalable, reliable platforms for internal AI applications, including RAG-based systems and enterprise tooling.

The role blends DevOps, SRE, and platform engineering, requiring strong cloud expertise, IaC discipline, and experience deploying containerized workloads in