Senior Software Engineer

At eBay, the Data Platform Engineering group is seeking a Senior Software Engineer to design and scale innovative infrastructure and analytics solutions. This role involves architecting, developing, and maintaining backend services and distributed systems for large-scale data collection, processing, and reporting. The engineer will optimize ETL pipelines, build microservices, and implement advanced extraction frameworks, ensuring platform reliability and collaborating globally to deliver impactful features.

Must Have

• Architect, develop, and maintain backend services and distributed systems.
• Design and optimize ETL (Extract, Transform, Load) pipelines.
• Build, monitor, and troubleshoot microservices, data crawling tools, and plugins.
• Implement advanced extraction and mapping frameworks.
• Ensure platform reliability and scalability.
• Contribute to customer-facing portals and dashboards.
• Collaborate globally across engineering, product, and analytics teams.
• Participate actively in release management, code reviews, operations, and knowledge sharing.
• Guide peers in troubleshooting, system design, DevOps processes, and cloud pipeline architecture.
• Strong proficiency in backend development: Java (Spring Boot), Groovy, Python, Spark, and Hadoop.
• Hands-on experience with databases: MongoDB, MySQL, Oracle, Hive, and ETL pipeline design.
• Demonstrated experience in building scalable data analysis workflows, inventory mapping systems, and production monitoring solutions.
• Expertise in technologies such as ElasticSearch, Kafka, Docker, Kubernetes, and Grafana.
• Proven ability in incident management: code review coordination, release verification, and troubleshooting in cloud-native environments.
• Experience collaborating in global, cross-functional teams and providing technical mentorship.
• Bachelor’s or advanced degree in Computer Science, Software Engineering, or a closely related field.
• Professional experience in large-scale data systems, backend software engineering, and analytics platforms.

Good to Have

• Familiarity with frontend technologies (HTML, JavaScript, Angular) supporting dashboard, visualization, and portal development.
• Detail-oriented and passionate about data quality, process optimization, and infrastructure reliability.
• Proactive communicator and team contributor in fast-paced, distributed engineering organizations.
• High accountability for release outcomes and data workflow accuracy.
• Committed to continuous learning, technical documentation, and knowledge sharing.
• Exposure to business data workflows, infrastructure automation, or external data aggregation is a plus.

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

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.

Key Responsibilities

• Architect, develop, and maintain backend services and distributed systems driving large-scale data collection, processing, and reporting workflows.
• Design and optimize ETL (Extract, Transform, Load) pipelines for a range of data sources, enabling inventory mapping, enrichment, and transformation.
• Build, monitor, and troubleshoot microservices, data crawling tools, and plugins for cloud-native deployments and high system resilience.
• Implement advanced extraction and mapping frameworks using modern technology stacks, ensuring data is clean, comprehensive, and actionable.
• Ensure platform reliability and scalability with proactive incident response, robust monitoring, and ongoing technical upgrades.
• Contribute to customer-facing portals and dashboards that support internal teams in configuring, managing, and monitoring data workflows.
• Collaborate globally across engineering, product, and analytics teams (India, US, China, Europe) to deliver impactful platform features and ensure alignment on technical best practices.
• Participate actively in release management, code reviews, operations, and knowledge sharing for continual improvement and technical excellence.
• Guide peers in troubleshooting, system design, DevOps processes, and cloud pipeline architecture.

Required Skills & Experience

• Strong proficiency in backend development: Java (Spring Boot), Groovy, Python, and distributed computing frameworks such as Spark and Hadoop.
• Hands-on experience with databases: MongoDB, MySQL, Oracle, as well as big data solutions including Hive and ETL pipeline design.
• Familiarity with frontend technologies (HTML, JavaScript, Angular) supporting dashboard, visualization, and portal development.
• Demonstrated experience in building scalable data analysis workflows, inventory mapping systems, and production monitoring solutions.
• Expertise in technologies such as ElasticSearch, Kafka, Docker, Kubernetes, and Grafana.
• Proven ability in incident management: code review coordination, release verification, and troubleshooting in cloud-native environments.
• Experience collaborating in global, cross-functional teams and providing technical mentorship.

Desired Qualities

• Detail-oriented and passionate about data quality, process optimization, and infrastructure reliability.
• Proactive communicator and team contributor in fast-paced, distributed engineering organizations.
• High accountability for release outcomes and data workflow accuracy.
• Committed to continuous learning, technical documentation, and knowledge sharing.

Qualifications

• Bachelor’s or advanced degree in Computer Science, Software Engineering, or a closely related field.
• Professional experience in large-scale data systems, backend software engineering, and analytics platforms.
• Exposure to business data workflows, infrastructure automation, or external data aggregation is a plus.