• Build and maintain eBay’s homepage/CMS backend engineering and machine learning stack
• Translate requirements to software design and create clean, efficient, extensible, maintainable code
• Be responsible for a large functional area possessing in-depth knowledge and expertise
• Influence across domain teams and guiding others towards the right technical decisions
• Design and build scalable, distributed and high-available systems, ensuring high-performant, responsive website and accessibility
• Provide technical guidance, code review for immediate team and other teams, contribute and review ADRs (Architecture Decision Records), coaching, and mentorship to individual team members within and outside teams
• Lead engineering support, release, and on-call responsibilities
• Identify areas in the team applications and integrate flexibility in the design for these areas

Improving engineering velocity

• 6+ years of experience in working in JavaScript, GraphQL REST APIs, messaging systems and/or other backend programming languages
• Hands-on experience building data-driven applications (RDBMS, NoSQL, ElasticSearch)
• A deep understanding of building scalable backend applications
• Strong experience delivering results in fast-paced environments (agile, TDD, CI/CD)

Passion for AI technologies (LLMs and Machine Learning)

$132,000 - $222,100

• 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) 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