Senior Software Engineer, Kafka

eBay is a global e-commerce leader focused on changing how the world shops and sells. The company empowers millions of buyers and sellers worldwide and is dedicated to pushing boundaries and reinventing the future of e-commerce. This role involves acting as a key resource for Kafka expertise, providing guidance and creating materials to improve others' proficiency with Kafka. The engineer will collaborate with the Data Warehouse team to understand data inflow needs for reporting and analytics, and work with teams building event-driven applications and the Data Engineering team to ensure consumable data pipeline inputs. Responsibilities also include supporting Kafka initiatives related to security, software currency, availability, and data governance, as well as monitoring, troubleshooting, and optimizing existing Kafka infrastructure for scalability, reliability, and efficiency.

Must Have

• Provide Kafka expertise and guidance
• Collaborate on data inflow needs
• Support event-driven applications and data engineering
• Manage Kafka security and software currency
• Monitor and optimize Kafka infrastructure

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.

• Act as a key resource for Kafka expertise, offering direct guidance and creating materials to help other technologists improve their proficiency with designing and implementing applications using Kafka

• Collaborate with other members of the Data Warehouse team to understand data inflow needs required to support reporting and analytics

• Collaborate with members of teams building event-driven applications and the Data Engineering team to ensure that the necessary inputs to data pipelines are being provided in a consumable manner 

• Support Kafka-related initiatives relating to security, software currency, availability, and data governance

• Monitor, troubleshoot, and optimize existing Kafka infrastructure and data flows to ensure that applications are able to execute against Kafka in a scalable, reliable, and efficient manner

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