Client Platform Engineer

About the Team OpenAI’s Client Platform Engineering team builds and operates the platforms that make employee devices secure, reliable, and easy to use. Our work spans device posture and trust, onboarding, application delivery, operating-system updates, fleet telemetry, and employee-facing remediation. We partner with Security, IT, Research, Applied, and specialized engineering teams to reduce friction while protecting OpenAI’s systems and data. About the Role As a Client Platform Engineer , You will build and own agentic solutions that automate OAI fleet operations and reduce employee friction, with measurable outcomes and reliability. You will develop first-party software, integrate commercial and open-source tools, and own changes from design and testing through deployment and production operations. Your work will improve security, reliability, and the employee experience. We’re looking for people who are passionate about automation, endpoint security, and building scalable solutions that improve employee experience. You should have deep experience securing and managing Linux fleets at scale, with strong software engineering skills to automate security controls and fleet operations across environments with different compliance requirements. Your problem-solving mindset and attention to detail will be key to success in this role. In this role, you will: Build the platforms that help employees do their best work on devices they can trust. Own the design, development, deployment, and operation of secure Linux endpoint management systems across environments with different compliance requirements. Create magical employee experiences by building agentic workflows with OpenAI products and models that use fleet telemetry to anticipate issues, guide remediation, and design friction out of everyday work. Make new hires productive from day one, using OpenAI products to simplify device setup, software delivery, and onboarding support. Build secure, reliable workflows with scoped access, human review for sensitive changes, traceable actions, and tested recovery. Partner with IT, Security, Research, and Engineering to deliver consistent Linux provisioning, updates, and support alongside macOS and Windows. Develop first-party software and integrate commercial and open-source tools for software packaging, deployment, and application management. Manage fleet configuration as code through GitOps, version control, peer review, and automated validation. Build and operate CI/CD pipelines for fleet infrastructure across Azure, AWS, and GCP, with staged deployments and tested rollback. Use fleet telemetry to proactively improve performance and reliability, detect configuration drift, and verify deployment outcomes. Participate in engineering on-call, own incident resolution, and turn operational lessons into lasting improvements that reduce recurring failures and manual work. You may be a fit for this role if you have: Proficiency in Python, Go, or another modern programming language. Deep experience securing and managing Linux fleets with configuration management, MDM, device enrollment, policy enforcement, and cloud identity integration. Demonstrated success with open-source endpoint tools for configuration, device and application management, and telemetry. Experience delivering secure, reliable, scalable systems across different compliance requirements. Deep experience managing infrastructure at scale with IaC and GitOps, using tools such as Terraform, Ansible, and Chef. Experience integrating and operating fleet infrastructure with CI/CD and DevOps workflows. A track record of deploying and operating fleet infrastructure in public cloud environments (Azure, AWS, GCP). Initiative, analytical judgment, and the ability to turn problems into practical improvements. 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. 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