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Senior Software Engineer

eBay Inc. -
Bengaluru, Karnataka

Apply Now

Job details

Full-time

Qualifications

Spring Boot
Elasticsearch
Oracle
Cloud architecture
Computer Science
Software Engineering
Incident management
Kubernetes
Big data
Spark
Data analysis skills
Apache Hive
MongoDB
Java
Databases
Administrative experience
Docker
Bachelor's degree
JavaScript
Distributed systems
Back-end development
Angular
ETL
Kafka
Groovy
Python
Spring framework
HTML
MySQL
Hadoop

Full job description

JOB DESCRIPTION

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.

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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