Staff Software Engineer, Search Backend

At eBay, 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:

Do you want to be part of the team that builds and operates a best-in-class search engine that serves hundreds of millions of queries a day? We are passionate about building the best search platform for one of the largest online marketplaces in the world and are looking for outstanding software engineers to join the eBay Search Backend team.

We are the backend data engineering team for the eBay search engine. Ebay search is what you experience when you do a search on https://www.ebay.com. Our search engine handles 80 billion queries daily on a corpus of 3 billion+ documents. Search Data Engineering is a backend platform with pipelines for acquiring, transforming, annotating & storing inventory data, and aggregating dynamic demand, performance and pricing intelligence for eBay inventory to power search ranking and experiences. Our systems are architected to be highly distributed pipelines for both real-time and bulk data processing and updates.

What you will accomplish:

• Design and implement systems compatible with existing Search Infrastructure within eBay. Segment and design system layers to support componentized and layered application development, including business functionality and database access

• Should be able to lead engineering design, development and testing, as well as work jointly with other team members to develop services and infrastructure at the intersection of machine learning, Big Data, and distributed systems

• You will build scalable data-intensive infrastructure that processes huge amounts of inventory data, logs, catalogs, transactional data, and user behavior signals. By doing so, we enable teams to become more data-driven and build robust and explainable ML(Machine Learning) services

• Your work will enable customers to build and run end-to-end ML feature management services

• Work with Partner teams, Product Management, Data Scientists and Operations teams to develop innovative solutions that meet market needs with respect to functionality, performance, scalability, reliability, realistic implementation schedules, and adherence to development goals and principles

• Mentor junior team members and ensure they adhere to software quality standards

What you will bring:

• MS/PhD in Computer Science or related discipline with experience in the areas of data mining, information retrieval, machine learning and information extraction

• Hands-on experience in product development of tried algorithmic ideas and concepts in classification, text mining, and information retrieval technologies

• Experience with large scale data-driven distributed systems, object-oriented design methodology and application development in Java/Scala is highly desired

• Experience with Big Data technologies like Hadoop, Spark, Flink and Kafka

• Solid understanding of database schema design, performance tuning & SQL. Experience with HBase, ClickHouse, ElasticSearch and MongoDB is desirable

• 6+ years’ experience in requirements analysis, design, coding, unit testing and performance tuning of scalable, distributed, fault-tolerant applications

The pay range for this position at commencement of employment in California, Washington, or New York is expected in the range below.

Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

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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.

Jobs posted with location as "Remote - United States (Excludes: HI, NM)" excludes residents of Hawaii and New Mexico.

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