Client Platform Engineer

Details

OpenAI’s Client Platform Engineering team builds and operates 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. The team partners with Security, IT, Research, Applied, and specialized engineering teams.

The role focuses on building and owning agentic solutions that automate fleet operations and reduce employee friction. Responsibilities include developing first-party software, integrating commercial and open-source tools, and owning changes from design and testing through deployment and production operations.

Responsibilities

• Design, develop, deploy, and operate 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 improve employee experience.
• Simplify device setup, software delivery, and onboarding support for new hires.
• 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 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, including staged deployments and tested rollback.
• Use fleet telemetry to improve performance and reliability, detect configuration drift, and verify deployment outcomes.
• Participate in engineering on-call, own incident resolution, and turn operational lessons into improvements that reduce recurring failures and manual work.

Requirements

• 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 infrastructure as code and GitOps, using tools such as Terraform, Ansible, and Chef.
• Experience integrating and operating fleet infrastructure with CI/CD and DevOps workflows.
• Experience deploying and operating fleet infrastructure in public cloud environments, including Azure, AWS, and GCP.
• Initiative, analytical judgment, and the ability to turn problems into practical improvements.

Preferred Qualifications

• Experience with open-source fleet management tools and frameworks.
• Experience with containerization technologies such as Docker and Kubernetes.
• Familiarity with SOC 2, ISO 27001, FedRAMP, and NIST compliance frameworks.
• Strong stakeholder communication and cross-functional collaboration skills.
• Relevant certifications such as CISSP, CISA, CISM, or CCSP.
• Contributions to client platform engineering open-source projects or technical communities.

Benefits

• Base pay of $347,000–$445,000 per year, plus equity, performance-related bonuses for eligible employees, and benefits.
• Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
• Pre-tax accounts, 401(k) with employer match, paid parental and caregiver leave, paid time off, paid holidays, and sick or safe time.
• Mental health and wellness support, employer-paid basic life and disability coverage, and an annual learning and development stipend.
• Daily meals in offices and meal delivery credits as eligible.
• Relocation support for eligible employees.