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职位eBay

Sr.Software Engineer Streaming/Messaging

eBay

Sr.Software Engineer Streaming/Messaging

eBay

Dublin

·

On-site

·

Full-time

·

2mo ago

必备技能

Java

Rust

C++

Apache Kafka

Pulsar

RocketMQ

About e Bay

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.

About the Team and the Role

Join the team that builds and operates e Bay's core streaming and messaging infrastructure—technology that underpins mission-critical, high-scale applications across the company. You will help design and develop our streaming lakehouse storage system while supporting the reliability and performance of platforms used across e Bay. This role combines engineering and operational ownership and collaborates with global teammates to deliver resilient, scalable distributed systems.

What You Will Accomplish

  • Build, operate, and continuously improve e Bay's messaging and streaming platforms to ensure reliability, scalability, and high performance.
  • Design and develop the streaming lakehouse storage system that supports large-scale data processing and analytics.
  • Reduce downtime by proactively identifying, troubleshooting, and resolving production issues.
  • Strengthen observability through improved monitoring, logging, and alerting systems.
  • Collaborate with global engineering partners to deliver resilient distributed systems.
  • Grow expertise in advanced streaming, storage, and distributed system technologies.

What You Will Bring

  • Strong foundation in computer science, including algorithms, operating systems, networking, and databases.
  • Proficiency in at least one programming language: Java, Rust, or C++.
  • Deep understanding of message middleware (e.g., Kafka, Pulsar, RocketMQ).
  • Familiarity with lakehouse table formats such as Apache Iceberg, Apache Paimon, or Apache Fluss.
  • Ability to work effectively within a global team environment.

Nice to Have

  • Experience designing and implementing distributed systems.
  • Familiarity with storage engines such as RocksDB or LevelDB and database storage internals.
  • Contributions to relevant open-source projects.

Equal Opportunity

e Bay 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 e Bay's commitment to ensuring digital accessibility for people with disabilities.

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关于eBay

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+

员工数

San Jose

总部位置

$28.1B

企业估值

评价

3.8

5条评价

工作生活平衡

4.2

薪酬

2.5

企业文化

4.0

职业发展

2.8

管理层

3.5

优点

Good work-life balance

Great culture and environment

Nice colleagues and supportive people

缺点

Limited opportunities for growth

Old technology and systems

Call quotas and difficult customers

薪资范围

2,731个数据点

Mid/L4

Mid/L4 · BUSINESS ANALYTICS 3

1份报告

$174,000

年薪总额

基本工资

$134,381

股票

-

奖金

-

$174,000

$174,000

面试经验

4次面试

难度

3.0

/ 5

时长

14-28周

体验

正面 0%

中性 75%

负面 25%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience