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eBay
eBay

Buy, sell, and discover.

Full Stack Cybercrime Operator

직무풀스택
경력미들급
위치Dublin
근무오피스 출근
고용정규직
게시1주 전
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At e Bay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

Full Stack Cybercime Operator

Location:

Dublin, Ireland
Employment Type:

Full Time, In Office
Company:

e Bay

About the team

At e Bay, 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 cybercime discovery and on-platform prevention, with a strong emphasis on engineering systems that move quickly from insight to action.

The role

We are hiring a Full Stack Cybercrime Operator to build and deploy the systems that help identify, investigate, and disrupt cybercrime targeting e Bay 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.

What you will do

  • 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 success looks like

Success in this role is defined by concrete outcomes:

  • 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.

Minimum qualifications

  • 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.

Preferred qualifications

  • 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.

What we are looking for

  • A strong engineer first.

  • Someone with a real security research mindset, not just surface-level security interest.

  • Someone who can think like a hacker and build like a product engineer.

  • Someone comfortable using AI and agentic engineering as core tools, not side experiments.

  • Someone who takes ownership, moves with urgency, and ships high-quality systems.

Why join e Bay

This is an opportunity to build high-impact security capabilities in a domain where the landscape changes constantly. You will work on systems that combine engineering, cybercime research, cloud infrastructure, and AI-native automation to protect customers at scale. The direction of the team is toward building a cybercrime capability where automated systems continuously improve how cybercime is identified and protections are deployed.

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 talent@ebay.com. 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.

We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center, and AI Hiring Guidelines.

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eBay 소개

eBay

eBay

Public

eBay Inc. is an American multinational e-commerce company based in San Jose, California, that allows users to buy or view items via retail sales through online marketplaces and websites in 190 markets worldwide.

10,001+

직원 수

San Jose

본사 위치

$28.1B

기업 가치

리뷰

10개 리뷰

3.8

10개 리뷰

워라밸

3.2

보상

2.8

문화

4.1

커리어

3.0

경영진

2.7

72%

지인 추천률

장점

Supportive team culture and colleagues

Good benefits and health coverage

Flexible work arrangements

단점

Management issues and lack of direction

Limited career advancement opportunities

Compensation below expectations

연봉 정보

2,735개 데이터

Mid/L4

Mid/L4 · BUSINESS ANALYTICS 3

3개 리포트

$166,000

총 연봉

기본급

$134,381

주식

-

보너스

-

$166,000

$166,000

면접 후기

후기 4개

난이도

3.0

/ 5

소요 기간

14-28주

경험

긍정 0%

보통 75%

부정 25%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience