Software Engineer

• Lakehouse Platform

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 Role

We are seeking an experienced Software Engineer with a strong background in Spark/Lakehouse table format technologies, responsible to build and optimize our next-generation lakehouse platform. Our focus is on enhancing Spark stability/usability/performance and extending Iceberg's capabilities. Additionally, we are building internal storage and metadata services to power our lakehouse architecture.

Responsibilities

• Troubleshoot and resolve production issues, ensuring minimal downtime
• Maintain and improve system monitoring, logging, and alerting

What You Will Bring

• A validated, successful track record of 5+ years with strong programming skills in either Java or Scala
• Comprehensive knowledge of Apache Spark's internals, including Catalyst optimizer, Tungsten execution engine, shuffle mechanics, AQE, and memory management
• Solid understanding of file formats like Apache Parquet and table formats such as Apache Iceberg, Delta or Apache Hudi internals, including snapshots, manifests, partition specs, and table metadata
• Familiarity with Linux/Unix systems, including shell scripting and system commands
• Understanding of networking principles, as Hadoop often operates in distributed environments
• Analytical skills to tackle complex distributed system challenges and optimize solutions
• Excellent problem solving and analytical skill on both defect and performance issue resolution
• Good team player and able to work with global team

Plus Points

• Contribution to related open source projects like Apache Spark/Iceberg
• Experience in designing and implementing distributed systems
• Good understanding of other Hadoop related projects including HDFS/HBase/Yarn

Location and Work Model

This role follows e Bay's hybrid model, requiring three days per week in the office (unless otherwise stated).

The Cool Part

• Shape the future of e Bay's Hadoop ecosystem and big-data infrastructure
• Work at global scale, driving analytics that power millions of e Bay experiences
• Join a culture that encourages open-source contribution, innovation, and collaboration

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.