Staff Software Engineer, eBay
Search Backend
$135.2-205.7k
Plus a target bonus and restricted stock units (as applicable)
Office located in San Jose, CA
Leading online marketplace
Job no longer available
Leading online marketplace
1001+ employees
Job no longer available
$135.2-205.7k
Plus a target bonus and restricted stock units (as applicable)
Office located in San Jose, CA
1001+ employees
Company mission
To connect people and build communities to create economic opportunity for all.
Role
Who you are
- 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 proven algorithmic ideas and concepts in classification, text mining, and information retrieval technologies
- Experience with large scale data-driven distributed systems is highly desired
- Experience in object-oriented design methodology and application development in Java/Scala
- Strong Software development skills (Java, J2EE, Scala, Web Services etc.). Expertise in Java is preferred
- Experience with Big Data technologies like Hadoop, Spark, Flink and Kafka
- Good working knowledge of database schema design, performance tuning & SQL. Experience with HBase, ClickHouse, ElasticSearch and MongoDB is desirable
- Experience with working on ML (Machine Learning) stacks is a plus
- 6+ years’ experience in requirements analysis, design, coding, unit testing and performance tuning of scalable, distributed, fault-tolerant applications
What the job involves
- We are the backend data engineering team for the eBay search engine. The eBay 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
- 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
- Estimate engineering effort, plan implementation, and rollout system changes
- Must 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
- Identify technical areas for improvement and make proposals for improvements or new areas of opportunities
- 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
- Develop industry and product technical expertise
- Triage and debug production issues
- Mentor junior team members and ensure they adhere to determined software quality standards
Our take
Founded in 1995 as an online auction platform primarily catering to collectibles, eBay quickly emerged as a pioneer in connecting buyers and sellers in the digital realm. This early success propelled eBay to become to globally recognized leader it is today.
In the present landscape, eBay competes with industry giants like Amazon within the C2C eCommerce sector. However, eBay distinguishes itself by fostering an environment where businesses can cultivate and promote their brands on the platform, offering a tailored, community-driven experience for both sellers and buyers. By championing small businesses, eBay attracts sellers and socially conscious consumers, positioning itself in stark contrast to Amazon's corporate image.
The rising consumer interest in sustainability has presented economic opportunities for eBay, particularly as younger demographics gravitate toward purchasing pre-owned items. in response, eBay has directed its marketing efforts toward Gen Z customers and formed partnerships with cultural phenomena like Love Island, further solidifying its appeal among contemporary audiences.
Freddie
Company Specialist at Welcome to the Jungle
Insights
13% employee growth in 12 months
Company
Company benefits
- Comprehensive and competitive health and wellness program designed to meet your unique needs.
- We strive to provide programs that help support both mind and body, including quality healthcare insurance, wellness programs and preventative care.
- Stock Purchase Plans
- Retirement Savings and Pension Plans
- Stock Awards
- Life Insurance and Disability Benefits
- Credit Union Memberships
- Balancing work & life - eBay believes in providing you with the opportunity to be your best self in your professional and personal life. In addition to supporting flexible workstyles including hybrid and remote, eBay offers 4 weeks of paid sabbatical time for every 5 years of service
- Giving back to our community - We provide our employees around the globe with opportunities to have a positive impact on their local communities. Through the eBay Foundation, our company matches donations to eligible nonprofits up to $10,000 per employee per year. And our employee-led volunteer groups organize local giving and volunteering activities throughout the world
Company HQ
Greylands, San Jose, CA
Leadership
Jamie Iannone
(CEO)Studied at Princeton and Stanford University. Held executive roles at Walmart, Barnes & Noble, and The Children's Place, before becoming CEO of eBay in April 2020.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job