MTS 2, Staff 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.

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 e-commerce 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 & Role**

At eBay, the Data Platform Engineering group designs and scales innovative infrastructure and analytics solutions that power robust data flows, real-time insights, and inventory mapping globally. The team builds and maintains large-scale systems supporting high-volume data acquisition, transformation, and reporting, driving platform reliability and supporting business decision-making across regions. This role is in Global Focus Categories organization responsible for Focus categories growth with data insights and analytics.

**Responsibilities:**

• Solve distributed systems challenges in exactly-once processing, fault tolerance, scalability, online/offline consistency, and high-throughput processing.
• Support capacity planning, performance optimization, and cost efficiency for distributed systems.
• Design and optimize ETL (Extract, Transform, Load) pipelines for a range of data sources, enabling inventory mapping, enrichment, and transformation.
• Participate in design reviews, mentor engineers, and raise the bar for distributed systems engineering.
• Eliminate architectural debt, scalability bottlenecks, and reliability gaps through platform modernization.
• Improve observability, alerting, incident response, and operational excellence for critical platform services.
• Develop reusable frameworks, runtimes, and self-service tooling for distributed platforms.
• Collaborate globally across engineering, product, and teams (India, US, China, Europe) to deliver impactful platform features and ensure alignment on technical best practices.
• Participate in an on-call rotation to support production systems.

**Qualifications:**

• Proven experience designing and operating high-throughput, low-latency, production-grade distributed services.
• Experience designing clean interfaces, backward-compatible migrations, and safe rollout strategies.
• Strong technical leadership, communication, mentorship, and cross-functional influence.
• Ability to make sound architectural trade-offs across correctness, reliability, performance, operability, and cost.

**Preferred Experience:**

• Hands-on expertise with Kafka, Flink, Spark and RDBMS/NoSQL.
• Strong background in serverless computing and event-driven architectures
• Experience in AWS, including services such as Lambda, Cognito, EKS, OpenSearch, Kinesis, S3, SNS, and SQS
• Strong experience with Databricks, including building and operating scalable batch and streaming data pipelines.
• Experience designing clean interfaces, backward-compatible migrations, and safe rollout strategies.
• Experience operating production systems, including observability, performance tuning, incident response, debugging, and on-call ownership.

**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 …