[All remote jobs](https://jobicy.com/jobs.md)[![OpenAI logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2023/03/0523b13262b12c215d8009938f5c14f1.jpeg)](https://jobicy.com/company/openai.md)[OpenAI](https://jobicy.com/company/openai.md) # Software Engineer, Security Observability Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/openai.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 293k–325k / yrDepartment[Cybersecurity](https://jobicy.com/categories/cybersecurity.md)EmploymentFull TimeExperienceOpen levelPublished20 Sep 2026Apply before20 Oct 2026Listing views866Application actions76Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. OpenAI is hiring a Software Engineer focused on security observability infrastructure within its Security team. The role builds scalable systems and data pipelines that centralize security-relevant data, improve resilience, and support detection, forensic investigations, and compliance. It requires strong software engineering capability, particularly in Python or Go, cloud infrastructure, Terraform, Azure, and security-oriented data engineering. The engineer will partner closely with Detection & Response and other technical teams while working across databases, SRE, and security domains. The position supports remote work in the United States or relocation to San Francisco, Seattle, or New York City, and requires U.S. citizenship. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 4/5GuidedFull ownership ### Communication Load 4/5IndependentCollaborative AI insightThis is a highly technical security engineering role involving production-scale observability, reliability, cloud infrastructure, and forensic data requirements. The engineer must make sound architectural decisions across multiple domains while supporting a high-impact security function. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianHighly competitive$309,000US market range$220k–$350k0$385k AI insightThe disclosed annual base-salary range is USD 293,000 to USD 325,000, with a midpoint of USD 309,000. For a senior security-focused software engineer building observability and data infrastructure in the US market, an estimated market base-salary range is USD 220,000 to USD 350,000; the disclosed range is positioned in the upper portion of that market. ## Core skills Skills and capabilities most closely associated with this opportunity. [Security observability](https://jobicy.com/jobs?search_keywords=Security%20observability.md)[Software engineering](https://jobicy.com/jobs?search_keywords=Software%20engineering.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Golang](https://jobicy.com/jobs?search_keywords=Golang.md)[Data pipelines](https://jobicy.com/jobs?search_keywords=Data%20pipelines.md)[Cloud infrastructure](https://jobicy.com/jobs?search_keywords=Cloud%20infrastructure.md)[Terraform](https://jobicy.com/jobs?search_keywords=Terraform.md)[Microsoft Azure](https://jobicy.com/jobs?search_keywords=Microsoft%20Azure.md)[Site reliability engineering](https://jobicy.com/jobs?search_keywords=Site%20reliability%20engineering.md)[Digital forensics](https://jobicy.com/jobs?search_keywords=Digital%20forensics.md) Sample interview questionsHow would you design a scalable pipeline for collecting and centralizing security telemetry from many infrastructure sources?I would begin by defining event schemas, source ownership, expected volume, latency requirements, retention, and access controls. I would use decoupled ingestion and processing layers with durable buffering, schema validation, enrichment, monitoring, and dead-letter handling. The storage design would support both fast investigation queries and economical long-term retention, with encryption, least-privilege access, and auditable data handling throughout. Describe how you would improve reliability for a security-critical data pipeline. I would establish service-level objectives for ingestion completeness, freshness, durability, and query availability, then instrument the pipeline to measure them. I would address failure modes through retries with backoff, idempotent processing, replay capability, capacity testing, multi-zone resilience, and clear runbooks. I would also add alerts for missing sources, abnormal event-volume changes, processing lag, and schema failures. What is your approach to infrastructure as code for sensitive security systems? I treat infrastructure code as production software: version control, peer review, automated validation, policy checks, and controlled deployments are essential. I would use Terraform modules with secure defaults, segregated environments, remote state protection, least-privilege cloud roles, and secrets managed outside code. Changes should be traceable, reversible, and continuously assessed for configuration drift. How would you work with a Detection and Response team to make observability data more useful? I would meet with detection engineers and responders to understand investigation workflows, existing blind spots, data-quality issues, and detection priorities. I would convert those needs into concrete telemetry, normalization, enrichment, and retention requirements, then validate the results through realistic investigation and detection exercises. Ongoing feedback loops and measurable outcomes, such as reduced time to triage or improved coverage, would guide iteration. Tell us about a time you had to work across software engineering, SRE, and security concerns. A strong approach is to clarify shared reliability and security goals, identify the highest-risk dependencies, and create an incremental plan that each team can support. I would communicate tradeoffs clearly, use operational metrics to prioritize work, and ensure that ownership, escalation paths, and documentation are established before launch. This creates durable systems rather than one-time fixes while respecting each discipline’s requirements. Opportunity details ## About this role. About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role We are seeking a Software Engineer, Security Observability to join our Security team. In this role, you will be responsible for building secure, scalable systems that enhance our security observability infrastructure. Leveraging your strong engineering skills, you will collaborate with cross-functional teams to develop, deploy, and maintain robust software solutions that support our security and detection capabilities. This role is open to remote employees, or relocation assistance is available to one of our OpenAI offices in San Francisco, Seattle, or New York City. Due to requirements associated with work this role may support, applicants for this position must be U.S. citizens. In this role, you will: * Design and develop scalable software systems that facilitate security observability across our infrastructure. * Build and maintain data pipelines that centralize and store security-relevant data from diverse sources. * Proactively improve the resilience and reliability of data systems to ensure high platform availability * Collaborate closely with Detection & Response (D&R) and other security teams to reduce the company’s security risk. * Contribute to data engineering in support of forensic investigations and compliance efforts. You might thrive in this role if you have: * Strong software engineering experience, with proficiency in programming languages such as Python, Golang, or similar. * A background in infrastructure as code, with experience using tools like Terraform and working with cloud platforms such as Azure. * Experience with building and maintaining data pipelines, particularly for security-related use cases. * A generalist engineering mindset, with the flexibility to pivot between various technical domains such as databases, site reliability engineering (SRE), or security. * The ability to collaborate effectively with security and engineering teams to understand evolving data needs and implement scalable solutions. * A proactive and detail-oriented approach to problem-solving, with a focus on improving security data visibility and forensic capabilities. 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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