OpenAI

Client Platform Engineer

OpenAI

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

Visit company website
✨ AI Apply
Manual Apply

Salary

💰 $255,000 - $325,000 per year

Job Level

Mid-LevelSenior

Tech Stack

AndroidAnsibleAWSAzureChefCloudDockerGoGoogle Cloud PlatformiOSJamfKubernetesMacOSOpen SourcePuppetPythonRubySaltStackTerraform

About the role

  • Design, build, implement, and maintain scalable and performant endpoint management infrastructure across macOS, Windows, iOS, and Android
  • Deliver endpoint management efficiencies and capabilities through bespoke software development and implementation of open source and first-party solutions
  • Employ modern Infrastructure-as-Code (IaC) methodologies and develop GitOps-driven solutions for fleet management at scale
  • Build and maintain CI/CD pipelines for fleet management infrastructure, deploying to progressively tested environments across multiple clouds (Azure, AWS, GCP)
  • Drive initiatives to adopt emerging CPE technologies, industry best practices, and optimize processes for scalability and operational efficiency
  • Partner with IT, Security, and cross-functional teams to ensure seamless endpoint user experiences while maintaining strict security standards

Requirements

  • Proficiency in a modern programming language (Python, Golang, Ruby, etc.)
  • Extensive hands-on experience with Jamf PRO and Microsoft Intune and experience with similar cloud identity providers
  • Demonstrated success and experience with open source endpoint management tooling (e.g., Salt, Puppet, Munki, Nano/MicroMDM, osquery, Autopkg, WinGet)
  • History of developing and delivering secure, reliable, scalable technology solutions
  • Deep knowledge and experience managing corporate infrastructure at scale with Infrastructure-as-Code (IaC) practices & GitOps workflows (Terraform, Ansible, Chef, etc.)
  • Experience integrating and operating fleet management infrastructure with CI/CD pipelines and DevOps workflows
  • Proven track record deploying and operating fleet management infrastructure in public cloud environments (Azure, AWS, GCP)
  • Self-starter with strong analytical and problem-solving skills
  • Comfortable with coding interviews in Python (application asks candidate comfort)