OpenAIClient Platform Engineer
About the Team
OpenAI’s Platform and Infrastructure Engineering organization advances the mission of deploying artificial general intelligence (AGI) for the benefit of all by delivering secure, scalable, and resilient technology solutions. Our team builds and maintains robust infrastructure that safeguards OpenAI’s data and systems while ensuring employees are well-equipped and seamlessly connected. By prioritizing security, reliability, and user-centric solutions, we empower OpenAI employees to drive impactful AI research, corporate operations, and product innovation.
About the Role
As a Client Platform Engineer at OpenAI, you will play a pivotal role in securing, enhancing, and maintaining our endpoint management infrastructure across macOS, Windows, iOS, and Android devices. Your focus will be on building scalable, automated solutions that ensure seamless deployments, advanced security configurations, and efficient operational workflows. You will collaborate closely with IT, Security, and Engineering teams to implement modern endpoint management practices using automation, Infrastructure-as-Code (IaC), and monitoring strategies. This role offers an opportunity to work with cutting-edge tools and contribute to building a security-first, automation-driven endpoint ecosystem.
We’re looking for people who are passionate about automation, endpoint security, and building scalable solutions that improve employee experience. You should have a strong background in managing macOS and iOS devices at scale, developing automated solutions using scripting, and configuration management tools, and driving operational excellence through process optimization and collaboration. Your problem-solving mindset and attention to detail will be key to success in this role.
In this role, you will:
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).
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.
You may be a fit for this role if you have:
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.
You might thrive in this role if you have:
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.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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