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eBay
eBay

Buy, sell, and discover.

Software Engineer - Services

직무엔지니어링
경력미들급
위치Amsterdam
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.

Software Engineer – Services

About the Team:

e Bay’s Search Experiences team builds and operates the critical backend systems that power the search experience for millions of users worldwide. We develop high-performance, low-latency services that ensure buyers can discover the right items quickly and reliably. Our team values collaboration, curiosity, technical craftsmanship, and continuous learning as we evolve e Bay’s next-generation agentic and search platform.

About the Role:

We are looking for a motivated Software Engineer with strong backend engineering fundamentals and an eagerness to grow in large-scale distributed systems. In this role, you will help build and enhance scalable, resilient services that support e Bay’s core search capabilities. You will work closely with experienced engineers across the team, contribute to feature development, improve service quality, and learn how to operate systems at global scale.

This is a great opportunity for an engineer who is excited about building backend systems, solving meaningful technical problems, and growing their skills in search infrastructure.

What You’ll Do:

  • Chip in to the design and development of backend services used by e Bay’s agentic/search platform.

  • Implement features, enhancements, and fixes with guidance from senior engineers.

  • Write high-quality, maintainable code with appropriate test coverage (unit, integration, functional).

  • Collaborate with product managers and other engineering teams to clarify requirements and deliver high-quality solutions.

  • Assist with service reliability efforts, including debugging issues, improving monitoring, and participating in operational reviews.

  • Participate in code reviews—both giving and receiving constructive feedback.

  • Stay up to date with backend and distributed systems technologies, applying new learnings where appropriate.

What You Bring

You may qualify with a combination of the following skills and experiences**:**Core Qualifications

  • Strong foundation in computer science fundamentals (data structures, algorithms, software design).

  • Experience with at least one backend programming language such as Kotlin, Java, Python, or similar.

  • Understanding of GraphQL protocol, REST APIs, microservices, or distributed system concepts.

  • Familiarity with modern development practices—CI/CD, testing, logging, monitoring, version control.

  • Ability to collaborate effectively, ask good questions, and learn quickly.

  • Strong problem-solving skills and attention to detail.

Preferred Qualifications (Nice-to-have, not required)

  • Experience building or maintaining backend systems in a production environment.

  • Exposure to search technologies (Elasticsearch, Lucene) or information retrieval concepts.

  • Experience with cloud infrastructure, containers, or orchestration tools.

  • Previous experience related to distributed systems or large-scale services.

Education:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

Why Join Us:

  • Impact at Scale: Build technology that powers one of the world’s largest e-commerce search platforms.

  • Growth & Learning: Work alongside experienced engineers and gain real-world distributed systems and search expertise.

  • Innovative Culture: Join a collaborative, supportive team that encourages experimentation and continuous improvement.

  • Modern Technology: Work with high-scale systems and innovative backend technologies.

  • Inclusive Environment: Thrive in a diverse, people-first culture focused on employee growth and empowerment.

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