As a Software Engineer in Security Observability at OpenAI, you'll develop advanced monitoring tools and systems to detect and respond to security threats in our cutting-edge AI infrastructure, ensuring the safety and reliability of groundbreaking AI technologies.

OpenAI is at the forefront of artificial intelligence research and deployment, and we're seeking a talented Software Engineer specializing in Security Observability to join our team. In this role, you'll contribute to building scalable observability platforms that provide real-time insights into the security posture of our AI systems, from large-scale models to user-facing applications.

You'll work closely with cross-functional teams, including security engineers, data scientists, and product managers, to design and implement robust monitoring solutions. This involves instrumenting applications for comprehensive logging, metrics collection, and alerting, while ensuring compliance with industry best practices for data privacy and security.

Key responsibilities include developing custom observability tools tailored to AI workloads, integrating with existing infrastructure for seamless threat detection, and optimizing systems for performance in high-volume environments. You'll also participate in incident response, conduct root cause analyses, and contribute to proactive security measures that safeguard our innovative technologies.

If you're passionate about securing the future of AI and thrive in a dynamic, research-driven setting, this is your opportunity to make a meaningful impact at OpenAI.

• Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred.
• 5+ years of experience in software engineering with a focus on security, observability, or monitoring systems.
• Proficiency in programming languages such as Python, Go, or Java, and experience with cloud platforms like AWS, GCP, or Azure.
• Strong knowledge of security principles, logging, metrics, and tracing in distributed systems.
• Experience with tools like Prometheus, Grafana, ELK Stack, or similar observability frameworks.
• Excellent problem-solving skills and ability to collaborate in a fast-paced, innovative environment.
• Familiarity with AI/ML security considerations is a plus.

• Competitive compensation package with equity options.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and flexible remote work options.
• Professional development stipend for courses, conferences, and certifications.
• Access to state-of-the-art tools and resources in AI research.
• Collaborative and inclusive company culture with opportunities for impactful work on global AI advancements.