eBay

Staff Backend Engineer (eBay Live)

eBay
US San Jose, CA, US
Onsite 2026-06-26
Announced salary
$196,800 - $262,700
Low
$123K
Median
$171K
High
$220K
Market in San Jose · BLS OEWS 2025
Estimated net pay
$11,047 - $14,282
/month · 33% withheld
after tax & contributions · Single, no dependents

Job description

JOB DESCRIPTION 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** ================== You’ll be part of the team building **eBay Live**, eBay’s newest shopping experience and live shopping platform. Live shopping is a natural extension of eBay’s ethos —highlighting unique items, collectibles, and fashion while enabling real\-time interaction between buyers and sellers. This is a relatively new trend in the US and Europe, growing quickly, and is already broadly established in APAC. We are looking to hire a passionate, collaborative and motivated **Staff Backend Engineer (MTS 2\)**, who will help us develop and evolve eBay Live to be a market leader in live shopping and become a key part of the global eBay platform. Join us to make an impact on one of the world’s largest e\-commerce websites. **What you'll do and learn:** ============================= * Translate requirements to software design and create clean, efficient, extensible, maintainable code. * Responsible for a large functional area possessing in\-depth knowledge and expertise. * Influencer across domain teams and guiding others towards the right technical decisions. * Improves team productivity by identifying and evangelizing opportunities for productivity improvements. * Identifying areas in the team applications likel

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