Software Engineer 2

• Building and supporting a pipeline that processes up to billions of items, frequently employing ML models on these datasets
• Creating services that provide Search or other Information Retrieval capabilities at low latency on datasets of hundreds of millions of items
• Maintain and enhance production systems, ensuring availability, reliability, and scalability.
• Diagnose and resolve production issues.
• Build monitoring, alerting, and automation solutions to reduce manual intervention., * Maintain and enhance production systems, ensuring availability, reliability, and scalability.
• Diagnose and resolve production issues.
• Build monitoring, alerting, and automation solutions to reduce manual intervention.
• Continuously improve operational efficiency through tooling, automation, and best practices.
• Contribute to documentation, runbooks, and knowledge sharing across teams.

We are looking for exceptional Engineers, who take pride in creating simple solutions to apparently-complex problems. Our Engineering tasks typically involve at least one of the following, * Passion and commitment for technical excellence

• B.Sc. or M.Sc. in Computer Science or an equivalent professional experience
• 2+ years of years of software engineering experience in production/operational environments.
• Strong coding skills in Java, Kotlin, Python, C++, or similar languages.
• Solid understanding of distributed systems, microservices, and APIs
• Hands-on experience with databases (SQL/NoSQL), monitoring tools (e.g., Prometheus, Grafana, Splunk), and CI/CD pipelines.
• Strong debugging, troubleshooting, and problem-solving skills
• Good verbal and written communication and collaboration skills

If you love a good challenge, and are good at handling complexity - we'd love to hear from you!

eBay is an amazing company to work for. Being on the team, you can expect to benefit from:

• A competitive salary - including stock grants and a yearly bonus
• A healthy work culture that promotes business impact and at the same time highly values your personal well-being
• Being part of a force for good in this world - eBay truly cares about its employees, its customers, and the world's population, and takes every opportunity to make this clearly apparent, $80,800 - $143,600

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.

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., The Product Knowledge team is at the epicenter of eBay's Tech-driven, Customer-centric overhaul. Our team is entrusted with creating and using eBay's Product Knowledge - a vast Big Data system which is built up of listings, transactions, products, knowledge graphs, and more. Our team has a mix of highly proficient people from multiple fields such as Machine Learning, Data Science, Software Engineering, Operations, and Big Data Analytics. We have a strong culture of collaboration, and plenty of opportunity to learn, make an impact, and grow!