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.
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 role:
Our NuData team at eBay brings together like-minded engineers who are pushing boundaries to build the next-generation database platforms for eBay. We are seeking a Senior Software Engineer that builds and runs petabyte scale data platforms that power large scale database infrastructure. This position will have the opportunity to architect, build and operate the next generation distributed database platform that powers some of the most critical systems powering eBay’s global ecommerce business. You will be responsible for scaling eBay’s core data infrastructure by working closely with other engineers, customers, business partners, and product managers.
What you will accomplish:
Take end-to-end ownership of core distributed components: drive architectural decisions, implement core database internals (e.g., storage engines, consensus protocols), optimize for high concurrency, and ensure system reliability through rigorous testing, observability, and production-level debugging.
As a self-motivated and enthusiastic technical engineer, you will collaborate with extremely inquisitive and proficient peers, leading and designing data infrastructure using your strong background in distributed systems, storage and large-scale database systems working with the latest open-source technologies where relevant
You will work in an agile environment with a focus on problem solving and engineering precision. As a technical leader you are expected to assess technology problems, design optimal solutions and drive implementation to meet the business expectations
As a senior engineer, you will guide juniors in your team and also across other cloud teams in building scalable, high speed, distributed systems and advocate for meeting the design and quality standards
Work with a team of passionate engineers from concept to completion of a feature or a prototype/proof of concept or benchmark, going from brainstorming sessions to converging on a design and ultimately building features and deploying them to production and supporting them
Design and implement differentiated features in a fast-pace environment with focus on scalability, performance, geo distribution, and availability and with steadfast focus on quality and automation, employing AI tools wherever possible
What you will bring:
Bachelor’s degree in Computer Science plus 8+ years of experience or MS in Computer Science plus 6+ years of hands-on experience in building large-scale distributed systems
Core Technical Skills
Key skills: C++, Java, Python, Scala, JavaScript or any other Programming language. Solid understanding of OOP/OOD , distributed systems, cloud-related knowledge, distributed cloud databases, Hadoop, Kubernetes.
Experience in architecting, designing and developing large-scale, multi-tiered, distributed software systems, storage and database and providing critical support
Excellent understanding of computer science fundamentals, data structures and algorithms, distributed systems, consensus algorithms, design patterns, and storage and network solutions.
Deep expertise in database internals: storage/buffer managers, write-ahead logging (WAL), multi-version concurrency control (MVCC), lock managers, query planners/executors, and database engines.
Strong transaction management background: isolation levels, concurrency control, deadlock detection, crash recovery, physical/logical replication, and HA/failover strategies
Exceptional problem solving abilities will be critical for success, as will be a focus on quality. The successful candidate will have a noticeable impact on the product and is expected to participate in the design and development of a feature/benchmark/prototype/proof of concept, ranging from architecture through testing and production rollout and ongoing support of the systems in production
Extensive hands-on experience and expertise in Object-Oriented Design, Distributed Programming, and various database systems (NoSQL and relational) at scale
Deep understanding of distributed systems failure modes—including network partitioning, consensus algorithms (e.g., Raft/Paxos), consistency models, and strategies for maintaining "Always-Available" performance under high-concurrency loads.
Leadership & Collaboration
Drive architecture discussions, produce well-documented design docs, and participate in design and code reviews
Ensure code quality and maintainability by evolving architecture and tech stack, refactoring, standards and improving build and test systems
Working experience in a cloud environment (Docker/K8S)
Cross-Geo Collaboration
Ability to thrive in a global engineering environment, effectively managing asynchronous communication and participating in cross-time-zone synchronization for critical production support and design reviews with teams in the US, Dublin, and China.
Additional Details
eBay Inc. 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 are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [email protected]. We will make every effort to respond to your request for disability assistance as soon as possible.
For more information see: EEO is the Law Poster and EEO is the Law Poster Supplement
Additional Details
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 [email protected]. 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.
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Skills Required
- Bachelor's degree in Computer Science plus 8+ years experience or MS in Computer Science plus 6+ years experience building large-scale distributed systems
- Proficiency in C++, Java, Python, Scala, or JavaScript
- Experience with Hadoop and large-scale data platforms
- Experience with containerization and orchestration (Docker, Kubernetes) and cloud environments
- Deep expertise in database internals (storage/buffer managers, WAL, MVCC, lock managers, query planners/executors)
- Strong transaction management knowledge (isolation levels, concurrency control, deadlock detection, crash recovery, replication, HA/failover)
- Solid understanding of distributed systems, consensus algorithms (e.g., Raft/Paxos), consistency models, and failure modes
- Experience designing, implementing, and operating distributed, high-performance, geo-distributed database systems (NoSQL and relational) at scale
- Strong computer science fundamentals: data structures, algorithms, OOP/OOD, design patterns
- Proven ability to drive architecture, produce design docs, participate in design/code reviews, and maintain code quality
- Ability to collaborate across time zones and support cross-geo production needs
eBay Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about eBay and has not been reviewed or approved by eBay.
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Healthcare Strength — Medical, dental, and vision coverage begin on the date of hire, complemented by mental health resources, an EAP, disability coverage, FSAs, and wellness initiatives.
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Leave & Time Off Breadth — A robust mix of PTO, paid holidays, flexible work styles, parental leave, and a four‑week paid sabbatical after five years supports work‑life balance.
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Equity Value & Accessibility — Total compensation commonly includes stock components, with access to an employee stock purchase plan at a discount and stock awards enhancing overall packages.
eBay Insights
What We Do
eBay Inc. is a global commerce leader that connects millions of buyers and sellers around the world. We exist to enable economic opportunity for individuals, entrepreneurs, businesses and organizations of all sizes. Our portfolio of brands includes eBay Marketplace and eBay Classifieds Group, operating in 190 markets around the world. We offer sellers the ability to grow a business with little barrier to entry regardless of size, background or geographic location. We never compete with our sellers. We win when our sellers succeed. Buyers who shop on our Marketplace and Classifieds platforms enjoy a highly personalized experience with an unparalleled selection at great value.


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