Software Engineer, Security Observability

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.

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.

Key skills/competency

• Security Observability
• Software Engineering
• Data Pipelines
• Cloud Platforms (Azure)
• Infrastructure as Code (Terraform)
• Python/Golang
• Detection & Response
• Forensic Investigations
• Site Reliability Engineering (SRE)
• System Scalability