Used Tools & Technologies
Not specified
Required Skills & Competences ?
Security @ 3 Software Development @ 3 Ansible @ 6 Chef @ 6 Docker @ 3 Kubernetes @ 3 Ruby @ 5 DevOps @ 3 IaC @ 3 Terraform @ 6 Python @ 5 GCP @ 3 CI/CD @ 3 AWS @ 3 Azure @ 3 Communication @ 6 Android @ 3 iOS @ 3 Munki @ 3 macOS @ 3 Puppet @ 3 Salt @ 3 Compliance @ 2Details
About the Team
OpenAI’s Platform and Infrastructure Engineering organization advances the mission of deploying artificial general intelligence (AGI) for the benefit of all by delivering secure, scalable, and resilient technology solutions. Our team builds and maintains robust infrastructure that safeguards OpenAI’s data and systems while ensuring employees are well-equipped and seamlessly connected. By prioritizing security, reliability, and user-centric solutions, we empower OpenAI employees to drive impactful AI research, corporate operations, and product innovation.
About the Role
As a Client Platform Engineer at OpenAI, you will play a pivotal role in securing, enhancing, and maintaining our endpoint management infrastructure across macOS, Windows, iOS, and Android devices. Your focus will be on building scalable, automated solutions that ensure seamless deployments, advanced security configurations, and efficient operational workflows. You will collaborate closely with IT, Security, and Engineering teams to implement modern endpoint management practices using automation, Infrastructure-as-Code (IaC), and monitoring strategies. This role offers an opportunity to work with cutting-edge tools and contribute to building a security-first, automation-driven endpoint ecosystem.
We’re looking for people who are passionate about automation, endpoint security, and building scalable solutions that improve employee experience. You should have a strong background in managing macOS and iOS devices at scale, developing automated solutions using scripting and configuration management tools, and driving operational excellence through process optimization and collaboration.
Responsibilities
- Design, build, implement, and maintain scalable and performant endpoint management infrastructure to facilitate best-in-class security of the OpenAI fleet comprised of macOS, Windows, iOS, and Android endpoints.
- Deliver critical endpoint management efficiencies and capabilities through bespoke software development and implementation of both industry-standard open source tooling and first-party software solutions.
- Employ modern Infrastructure-as-Code (IaC) methodologies and develop GitOps-driven solutions to deliver consensus-based fleet management capabilities at scale.
- Build and maintain CI/CD pipelines for fleet management infrastructure, deploying to progressively tested environments across multiple clouds (Azure, AWS, GCP).
- Drive initiatives to adopt emerging Client Platform Engineering (CPE) technologies, industry best practices, and optimize processes for scalability and operational efficiency.
- Partner with cross-functional teams to ensure seamless endpoint user experiences while maintaining strict security standards and continually increasing the bar.
Requirements
- Proficiency in a modern programming language (examples listed: Python, Golang, Ruby).
- Extensive hands-on experience with Jamf PRO and Microsoft Intune and experience with similar cloud identity providers.
- Demonstrated success and experience with open source endpoint management tooling for configuration management, mobile device management, application management, and telemetry such as Salt, Puppet, Munki, Nano/MicroMDM, osquery, Autopkg, WinGet, etc.
- History of developing and delivering secure, reliable, scalable technology solutions.
- Deep knowledge and experience managing corporate infrastructure at scale with Infrastructure-as-Code (IaC) practices and GitOps workflows (examples listed: Terraform, Ansible, Chef).
- Experience integrating and operating fleet management infrastructure with CI/CD pipelines and DevOps workflows.
- Proven track record of deploying and operating fleet management infrastructure in public cloud environments (Azure, AWS, GCP).
- Self-starter with strong analytical and problem-solving skills.
Nice to Have / You Might Thrive If You Have
- Deep experience with open-source fleet management tools and frameworks.
- Experience with containerization technologies such as Docker and Kubernetes.
- Familiarity with compliance frameworks such as SOC 2, ISO 27001, FedRAMP, and NIST.
- Strong stakeholder communication and cross-functional collaboration skills.
- Relevant professional certifications such as CISSP, CISA, CISM, CCSP.
- Contributions to CPE open-source projects or technical communities.
Benefits
The base pay offered may vary depending on factors including market location, job-related knowledge, skills, and experience. In addition to the salary range listed, total compensation includes equity and potential performance-related bonus(es). Benefits include:
- Medical, dental, and vision insurance with employer contributions to Health Savings Accounts
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses
- 401(k) with employer match
- Paid parental leave and additional paid medical/caregiver leave
- Paid time off (flexible PTO for exempt employees; up to 15 days annually for non-exempt employees)
- 13+ paid company holidays and coordinated office closures
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend
- Daily meals in offices and meal delivery credits as eligible
- Relocation support for eligible employees
- Additional taxable fringe benefits (charitable donation matching, wellness stipends)
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities. Background checks will be administered in accordance with applicable law for US-based candidates.