MTS 1 Software Engineer

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 world-class search engine that serves hundreds of millions of queries a day? Are you curious how a search engine at such scale even works to serve results in the low millisecond latency range, given billions of items to consider? Do you thrive on pushing the scale boundaries with Big Data workflows? Do you get excited thinking of building infrastructure with the latest open source stack using technologies such as Spark/Hadoop, Apache Airflow, Elasticsearch, NoSQL, Kubernetes, docker and more?

We are passionate about building next gen infrastructure supporting various data science teams (eg. Query Understanding, Core Ranking, Knowledge Graph, Autocomplete) and the entire search platform of the world’s largest online marketplace. We are looking for passionate software engineers to join the eBay Search Science Infrastructure and Data Engineering team.

What you will accomplish:

Design and implement systems, infrastructures, and big data workflows to support the various data science teams at eBay as well as contributing to advancing the broader platforms of eBay Search and even beyond to all of eBay. As a member of the Search Science Infrastructure and Data Engineering team, there are a variety of interesting technical areas to work ranging from Spark/Scala or PySpark development, through to Airflow workflow development, CI/CD, batch and stream workflows, data quality and data deployment related initiatives, and more. Work closely with various partner teams on understanding technical needs, pain points, agility killers, and research, propose, design, build, test and support relevant solutions and infrastructures.

What you will bring:

• BS/MS in Computer Science or related discipline with experience in the areas of big data processing, data engineering, workflow orchestration, online services

• Experience with large scale data-driven systems is highly desired, and/or online services experience

• Experience in majority of: Python, Spark, Scala, Hadoop, Java, Docker, Linux, shell scripting, Git, SQL

• Desirable to have experience in: Airflow, NoSQL, Kafka, Jenkins, Elasticsearch, REST API

• Desirable to have an understanding of information retrieval systems, online search processing, and machine learning

• Experience in object-oriented design methodology

• Minimum of 6 years relevant industry experience desired

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.

Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.

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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