Jobs / United States / OpenAI UK Ltd
Client Platform Engineer
OpenAI UK Ltd · 🇺🇸 San Francisco
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereThis employer does not appear with approvals in the government data SponsorApply holds.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
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Sponsor Radar — OpenAI UK Ltd
This employer does not appear with approvals in the government data SponsorApply holds.
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About the role
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).