OpenAI
Client Platform Engineer
San Francisco · Contract
Sponsorship not specifiedDetected 2 days ago
PythonGoCode ReviewAWSGCPAzureCloud PlatformsDockerTerraformAnsibleCI/CDLinuxDevOpsPlatform EngineeringCybersecurityComplianceStakeholder ManagementResearchCommunicationProblem SolvingCISSP
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Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- Your work will improve security, reliability, and the employee experience.
- Your problem-solving mindset and attention to detail will be key to success in this role.
- Our work spans device posture and trust, onboarding, application delivery, operating-system updates, fleet telemetry, and employee-facing remediation.
Responsibilities
- 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.
- Participate in engineering on-call, own incident resolution, and turn operational lessons into lasting improvements that reduce recurring failures and manual work.
Requirements
- Proficiency in Python, Go, or another modern programming language.
- Experience delivering secure, reliable, scalable systems across different compliance requirements.
- Initiative, analytical judgment, and the ability to turn problems into practical improvements.
- Deep experience with open-source fleet management tools and frameworks.
- Experience with containerization technologies such as Docker and Kubernetes.
Skills
- Demonstrated success with open-source endpoint tools for configuration, device and application management, and telemetry.
- 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).
Company info
- OpenAI's Client Platform Engineering team builds and operates the platforms that make employee devices secure, reliable, and easy to use.
- We partner with Security, IT, Research, Applied, and specialized engineering teams to reduce friction while protecting OpenAI's systems and data.
This listing is sourced directly from OpenAI's careers page and normalized into a canonical job model.