Client Platform Engineer
$347k - $445k • Remote • San Francisco • FullTime
Posted 6h ago
About the job
OpenAI's Client Platform Engineering team is responsible for building and maintaining the platforms that ensure employee devices are secure, reliable, and user-friendly. This role involves developing and owning agentic solutions to automate fleet operations and minimize employee friction, with a focus on measurable outcomes and reliability. You will create first-party software, integrate existing tools, and manage the entire lifecycle of changes from design to production. The goal is to enhance security, reliability, and the overall employee experience by building trusted devices and automating workflows.
Responsibilities
- Own the design, development, deployment, and operation of secure Linux endpoint management systems across various compliance requirements.
- Create automated workflows using OpenAI products and models to anticipate issues, guide remediation, and reduce friction in daily work.
- Simplify device setup, software delivery, and onboarding for new hires using OpenAI products.
- Build secure, reliable workflows with appropriate access controls, human review for sensitive actions, traceability, and tested recovery mechanisms.
- Collaborate with IT, Security, Research, and Engineering teams to ensure consistent Linux provisioning, updates, and support alongside macOS and Windows.
- Develop first-party software and integrate commercial/open-source tools for software packaging, deployment, and application management.
- Manage fleet configuration as code using 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 rollback.
- Utilize fleet telemetry to proactively improve performance, detect configuration drift, and verify deployment outcomes.
- Participate in on-call rotations, own incident resolution, and implement improvements to reduce recurring failures and manual tasks.
Requirements
- Proficiency in Python, Go, or another modern programming language.
- Deep experience securing and managing Linux fleets using configuration management, MDM, device enrollment, policy enforcement, and cloud identity integration.
- Demonstrated success with open-source endpoint tools for configuration, device/application management, and telemetry.
- Experience delivering secure, reliable, and scalable systems across different compliance requirements.
- Extensive experience managing infrastructure at scale with IaC and GitOps, utilizing tools like Terraform, Ansible, and Chef.
- Experience integrating and operating fleet infrastructure with CI/CD and DevOps workflows.
- Proven track record of deploying and operating fleet infrastructure in public cloud environments (Azure, AWS, GCP).
- Strong initiative, analytical judgment, and the ability to translate problems into practical improvements.