Senior AI Platform Engineer

People in AI

San Diego (CA)

Presencial

USD 170 000 - 180 000

Tempo integral

há 21 horas
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Resumo da oferta

People In AI is seeking an experienced DevOps/Platform Engineer to design, build, and maintain production-grade AWS infrastructure and deploy AI platforms. You will manage IaC with Terraform, run containerized workloads with Kubernetes (EKS), and implement CI/CD pipelines using GitHub Actions to support production AI services including RAG-based systems.

The role combines cloud infrastructure, platform engineering, and modern AI infrastructure requirements in a hands-on capacity within a global

Qualificações

  • Experience in DevOps, SRE, cloud infra or platform engineering.
  • Strong AWS production experience including design, deployment and security.
  • Proficient with Terraform IaC and Kubernetes deployments on AWS (EKS).
  • Experience building and maintaining CI/CD pipelines with GitHub Actions.

Responsabilidades

  • Design, build, and maintain production-grade AWS infrastructure for internal AI platforms.
  • Develop and manage infrastructure as code using Terraform.
  • Build, deploy, and operate containerized apps with Kubernetes on AWS (EKS).
  • Design, implement, and optimize CI/CD pipelines using GitHub Actions.
  • Support infrastructure for production AI applications including RAG-based systems.

Conhecimentos

DevOps Engineering
Site Reliability Engineering
Cloud Infrastructure
Platform Engineering
AWS
Terraform
Kubernetes
GitHub Actions
CI/CD

Ferramentas

Kubernetes (EKS)
GitHub Actions
AWS Cloud Services

Descrição da oferta de emprego

People In AI is seeking an experienced DevOps/Platform Engineer to design, build, and maintain production-grade AWS infrastructure and deploy AI platforms. You will manage IaC with Terraform, run containerized workloads with Kubernetes (EKS), and implement CI/CD pipelines using GitHub Actions to support production AI services including RAG-based systems.

The role combines cloud infrastructure, platform engineering, and modern AI infrastructure requirements in a hands-on capacity within a global

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