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At eBay, we build systems that protect customers from cybercrime and abuse. This team turns cybercrime research into production-grade signals, automations, services, and protections. The work spans off-platform cybercrime discovery and on-platform prevention, with a strong emphasis on engineering systems that move quickly from insight to action.
We are hiring a Full Stack Cybercrime Operator to build and deploy the systems that help identify, investigate, and disrupt cybercrime targeting eBay and its customers.
This is an engineering-led role. We are looking for a strong software engineer who can build production systems in Python, Java, and SQL, operate effectively in the cloud, and ship reliable capabilities at speed.
At the same time, this role requires a critical security research mindset. You need to think like an attacker, understand how cybercrime campaigns work, and apply that mindset to the design of better signals, automations, workflows, and protections. This is not a pure research role, but strong security research instincts are essential.
We also expect Agentic Engineering and AI capability to be a core strength. You should be able to design and build agentic systems, AI-enabled workflows, and autonomous or semi-autonomous tooling that improves the speed, scale, and quality of cybercrime protections.
Build production systems in Python, Java, and SQL that detect, investigate, and respond to cybercrime and abuse.
Design and deploy agentic systems, AI-powered workflows, and automation tooling for cybercrime research, enrichment, and protection.
Build services, APIs, pipelines, and internal tools that convert cybercrime intelligence into scalable customer protections.
Investigate phishing, brand abuse, digital identity crime, and related cybercrime patterns, then translate findings into durable engineering solutions.
Develop and improve signals, decisioning logic, and protection workflows that measurably reduce abuse and improve response speed.
Work with cloud technologies and distributed systems to deploy reliable, secure, and scalable capabilities.
Partner with security, product, and engineering teams to move from cybercime identification to shipped protection with minimal handoffs.
Own systems end to end: design, build, test, deploy, monitor, and improve.
Maintain a high quality bar, including rapid response to production issues and strong operational discipline.
What you will accomplish:
You build systems that shorten the time from cybercime discovery to deployed protection.
You deliver engineering solutions that improve prevention, identification, disruption, or remediation at scale.
You apply a security research mindset to uncover attacker behavior and convert those insights into production capabilities.
You build AI-native and agentic capabilities that reduce manual effort and improve speed, coverage, and consistency.
You ship reliable systems with strong security, quality, and operational ownership.
What you will bring:
Bachelor’s degree in Computer Science, Engineering, Security, or a related technical field, or equivalent practical experience.
Strong software engineering experience building and operating production systems.
Strong coding skills in Python and Java.
Strong SQL skills.
Hands-on experience with cloud technologies and modern distributed systems.
Experience building APIs, backend services, pipelines, automation tooling, or data-driven applications in production.
Experience debugging, monitoring, and improving systems in production.
Ability to translate ambiguous problems into concrete technical solutions.
Experience in security engineering, cybercrime investigations, intelligence, trust and safety, fraud, abuse prevention, or adversarial research.
A strong security research / hacker mindset: curiosity, technical depth, and the ability to understand attacker behavior, test assumptions, and identify practical weaknesses or opportunities for disruption.
Experience investigating phishing, impersonation, credential theft, brand abuse, or digital identity attacks.
Experience designing and building agentic systems, AI workflows, LLM-enabled tooling, or autonomous research and response capabilities.
Experience building detection systems, enrichment pipelines, or automated investigative workflows.
Experience working in fast-moving environments where engineers own delivery from concept through production.
Additional Details
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected]. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
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