Key skills
Endpoint managementInfrastructure-as-Code (IaC)CI/CD pipelinesCloud environmentsModern programming languageJamf PROMicrosoft IntuneOpen source toolingContainerization technologiesanalytical skillsStakeholder communicationProfessional certificationsCross-functional collaborationPythonGolangRubyAIArtificial IntelligenceOpenAIAWSAzureGCPTerraformKubernetesDockerAnsibleGitOpsiOSAndroidCI/CDCommunicationCollaboration
About this role
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. As a Client Platform Engineer, you will secure, enhance, and maintain endpoint management infrastructure across multiple devices, collaborating with IT and Engineering teams to implement modern management practices and automation solutions.
Responsibilities:
- Design, build, implement, and maintain scalable and performant endpoint management infrastructure to facilitate best-in-class security of the OpenAI fleet comprised of macOS, Windows, iOS, and Android endpoints
- Deliver critical endpoint management efficiencies and capabilities through bespoke software development and implementation of both industry-standard open source tooling and first-party software solutions
- Employ modern Infrastructure-as-Code (IaC) methodologies, develop GitOps-driven solutions to deliver consensus-based fleet management capabilities 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 cross-functional teams to ensure seamless endpoint user experiences while maintaining strict security standards and continually increasing the bar
Requirements:
- Proficiency in a modern programming language (Python, Golang, Ruby, etc.)
- Extensive hands-on experience with Jamf PRO and Microsoft Intune to ensure comprehensive secure fleet management as well as experience with similar cloud identity providers
- Demonstrated success and experience with open source endpoint management tooling for configuration management, mobile device management, application management, and telemetry such as Salt, Puppet, Munki, Nano/MicroMDM, osquery, Autopkg, WinGet, etc
- History of developing and delivering secure, reliable, scalable, and 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 of deploying and operating fleet management infrastructure in public cloud environments (Azure, AWS, GCP)
- A self-starter with strong analytical and problem-solving skills
- Deep experience with open-source fleet management tools and frameworks
- Experience with containerization technologies such as Docker and Kubernetes
- Familiarity with compliance frameworks such as SOC 2, ISO 27001, FedRAMP, and NIST
- Strong soft skills, including stakeholder communication and cross-functional collaboration
- Relevant professional certifications such as CISSP, CISA, CISM, CCSP
- A security thought leader with contributions to CPE open-source projects or technical communities