Client Platform Engineer
OpenAI · San Francisco
Frontier labremote$347k–$445k
At a glance
Highlights
- Build agentic solutions that automate fleet operations and reduce friction.
- Create trusted device platforms spanning onboarding, updates and telemetry.
- Use fleet telemetry to proactively improve performance and reliability.
What they offer
- Equity
Ideal candidate
Automation-driven engineer passionate about endpoint security and employee experience who thrives owning reliable systems end-to-end and turning fleet friction into lasting improvements.
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 IaC and GitOps, using tools such as Terraform, Ansible, and Chef.
- Experience integrating and operating fleet infrastructure with CI/CD and DevOps workflows.
- Track record of deploying and operating fleet infrastructure in public cloud environments (Azure, AWS, GCP).
Lab profile
About OpenAI
Builds safe frontier AI models and products like ChatGPT for broad benefit.
What they build
- ChatGPT
- OpenAI API
- Frontier AI models
Known for
- Frontier-scale distributed ML training
- Massive GPU fleet and data center operations
- Exabyte-scale data lakes and streaming
- AI alignment and safety research
Key facts
- Operates one of the world's largest GPU fleets
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