Staff Security Reliability Engineer
Company websiteopenai.com (OpenAI, opens in new tab)
Base salary $347K to $510K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceHybrid
- Status at last checkSource accepting applications when checked
- Last checked (2 h ago) · observed since
About this job
About the Team
The Infrastructure Engineering function sits within IT and is responsible for reliably building, deploying, and operating critical on prem and hybrid environments that power internal services and critical R&D environments.
This is an early, high-leverage technical role focused on applying strong Site Reliability Engineering discipline to environments where uptime, safety, recoverability, and security are non-negotiable. This person helps replace bespoke, one-off infrastructure with standardized infrastructure-as-code building blocks that compound reliability and operational leverage as OpenAI scales.
About the Role
We are looking for an experienced Site Reliability Engineer working on security infrastructure to design, build, and operate reliable, secure, and scalable infrastructure that underpins identity, access, endpoint, and shared platform services across the company.
In this role, you will be a senior technical owner for infrastructure and identity systems end to end, from architecture and implementation through policy enforcement, upgrades, recovery, and day-two operations. You will build durable, production-grade platforms that remove operational friction, enforce security by default, and enable teams to move faster with confidence.
This role is well suited for a hands-on senior engineer who thrives in ambiguity, enjoys owning complex systems end to end, and raises the reliability and security bar by replacing fragile implementations with standardized, repeatable infrastructure.
This role is based in our San Francisco HQ and requires in-office presence.
In this role, you will:
Design, build, and operate reliable infrastructure across on-prem, hybrid, shared, and product adjacent environments.
Establish standardized infrastructure patterns that replace bespoke implementations with repeatable, auditable, secure-by-default systems.
Own the lifecycle of critical infrastructure platforms, including provisioning, deployment, upgrades, patching, recovery, and long-term reliability.
Build infrastructure-as-code and configuration management using tools such as Terraform, Chef, and Ansible.
Mature identity adjacent and policy enforced infrastructure, including Microsoft Entra and Azure management patterns.
Build observability, alerting, and incident response mechanisms that improve availability, recoverability, and operational confidence.
Automate high-toil and high-risk workflows with guardrails, progressive rollout patterns, and safe rollback paths.
Translate incidents, design reviews, and operational learnings into durable fixes, reusable patterns, and stronger technical standards.
Influence cross-functional partners across security, identity, network, and platform teams through architecture, implementation, operational data, and clear technical writing
You might thrive in this role if you:
Have 10+ years of hands-on experience operating and architecting mission-critical infrastructure in high-reliability environments
Have experience running Security Infrastructure
Have been the senior technical owner for the design and maturation of complex on-prem, hybrid, or cloud-integrated systems, setting durable architectural patterns used by multiple teams
Apply Site Reliability Engineering principles at scale, using observability, automation, and incident learnings to materially reduce risk and operational toil
Operate comfortably in ambiguity, making sound architectural decisions under pressure while staying close to technical detail
Have experience operating infrastructure for R&D or specialized labs, manufacturing, or other safety critical environments where uptime and recoverability are essential
Have experience with fleet, endpoint, or virtual desktop platforms such as FleetDM, Chef, or Azure Virtual Desktop
Have experience partnering closely with identity or security engineering teams on hardened, policy enforced infrastructure at scale
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. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Source: OpenAI on Ashby · View original posting (opens in new tab)
This listingStaff Security Reliability Engineer$347K to $510K
Founding Full Stack Software Engineer, Legal$347K to $445K
Full Stack Software Engineer, ChatGPT Finances$347K to $385K
Performance Modeling Engineer$347K to $445K
Software Engineer, ChatGPT Shopping$347K to $445K
Rosalind Life Sciences Product Manager$347K to $468K
Software Engineer, ChatGPT Infrastructure$347K to $445K
Chart as a table
| Role | Published base |
|---|---|
| Staff Security Reliability Engineer (this listing) | $347K - $510K |
| Founding Full Stack Software Engineer, Legal | $347K - $445K |
| Full Stack Software Engineer, ChatGPT Finances | $347K - $385K |
| Performance Modeling Engineer | $347K - $445K |
| Software Engineer, ChatGPT Shopping | $347K - $445K |
| Rosalind Life Sciences Product Manager | $347K - $468K |
| Software Engineer, ChatGPT Infrastructure | $347K - $445K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-06-23
Where this pay comes from
Location as the employer wrote it: San Francisco
USD 347,000 – 510,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
