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# software engineer

- **Company:** OpenAI Inc.
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Data Systems, Fraud Prevention and Detection, Python (Programming Language), PostgreSQL, Machine Learning, Software Engineering, Backend, Build Management, Kubernetes, Apache Kafka, Terraform, GPT
- **Published:** September 5, 2026
- **Apply:** https://startup.jobs/software-engineer-scaled-abuse-openai-5414545

## About the Role

* Have at least 5 years of software engineering experience in backend and data systems.
 * Have at least 2 years experience in fraud or abuse analysis, investigation, and/or operations
 * Can dive into our codebase, intuit how it works, and be able to have a strong intuition for suggestions that will lead us to a stronger engineering position.
 * A voracious and intrinsic desire to learn and fill in missing skills. An equally strong talent for sharing that information clearly and concisely with others
 * Are comfortable with ambiguity and rapidly changing conditions. You view changes as an opportunity to add structure and order when necessary
 * Experience in Machine Learning techniques is a plus, but not required

Our tech stack

Our infrastructure is built on Terraform, Kubernetes, Azure, Python, Postgres, and Kafka. While we value experience with these technologies, we are primarily looking for engineers with strong technical skills and the ability to quickly pick up new tools and frameworks.

## Description

The Scaled Abuse team protects OpenAI's products and customers by detecting, preventing, and responding to fraudulent and abusive behavior at scale. We build and operate the backend and data systems that power real-time detection, investigation workflows, and enforcement - balancing strong protections with a great user experience as the platform grows.

Our work sits at the intersection of engineering and abuse expertise: we partner closely with Trust & Safety, Security, and Product to understand emerging attack patterns, translate messy signals into clear system behavior, and continuously harden our defenses. The problems are dynamic and ambiguous by default, so we value engineers who can quickly dive into an unfamiliar codebase, develop strong intuition about how it works end-to-end, and propose pragmatic improvements that make the entire stack more resilient.

In this role, you will:

 * Design and build systems for fraud detection and remediation while balancing fraud loss, cost of implementation, and customer experience
 * Work closely with finance, security, product, research, and trust & safety operations to holistically combat fraudulent and abusive actors on our system
 * Stay abreast of the latest techniques and tools to stay several steps ahead of determined and well resourced adversaries
 * Utilize GPT-5 and future models to more effectively combat fraud and abuse


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