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EngineeringHybrid

Staff Security Reliability Engineer

OpenAI · Hybrid

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Last seen by MeritLog September 12, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from OpenAI's Ashby job board and last checked it on September 12, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model
Hybrid
Salary
$347K - $510K
Location
San Francisco

Hiring context

How this role compares at OpenAI

OpenAI has 793 live roles in MeritLog’s catalog across 14 job families, and 306 of them are in engineering. 661 of those listings publish a pay range, a disclosure rate of 83%.

This role's posted range of $347K - $510K sits above 92% of the 648 other OpenAI roles quoted over the same currency and period.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd do

  • 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

What they're asking for

  • Have 10+ years of hands-on experience operating and architecting mission-critical infrastructure in high-reliability environmentsExperience
  • Have experience running Security InfrastructureSkill
  • 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 teamsSkill
  • Apply Site Reliability Engineering principles at scale, using observability, automation, and incident learnings to materially reduce risk and operational toilSkill
  • Operate comfortably in ambiguity, making sound architectural decisions under pressure while staying close to technical detailSkill
  • Have experience operating infrastructure for R&D or specialized labs, manufacturing, or other safety critical environments where uptime and recoverability are essentialSkill
  • Have experience with fleet, endpoint, or virtual desktop platforms such as FleetDM, Chef, or Azure Virtual DesktopSkill
  • Have experience partnering closely with identity or security engineering teams on hardened, policy enforced infrastructure at scaleSkill

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

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 https://cdn.openai.com/policies/eeo-policy-statement.pdf. 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 https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. 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 https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf 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.

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