Client Platform Engineer

OpenAI's Client Platform Engineering team builds and operates the platforms that make employee devices secure, reliable, and easy to use. The work spans device posture and trust, onboarding, application delivery, operating-system updates, fleet telemetry, and employee-facing remediation, partnering with Security, IT, Research, Applied, and specialized engineering teams.

As a Client Platform Engineer, you will build and own agentic solutions that automate 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.

• Own the design, development, deployment, and operation of secure Linux endpoint management systems across environments with different compliance requirements.
• Build 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.

• 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).

• 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.

Compensation: $347K – $445K, plus equity. Benefits include health insurance, dental insurance, vision insurance, life insurance, short-term disability, long-term disability, paid parental leave, flexible PTO, paid holidays, wellness stipend, mental health support, learning budget, home office stipend, commuter benefits, and more.

Apply through the provided link.