Staff Hadoop Software Engineer

The Networker; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

eBay in Bengaluru is seeking a Senior Distributed Systems Architect to lead scalability and reliability of our big data platforms. You will guide engineering teams to deliver robust data workflows and champion cross-functional collaboration across infrastructure and product groups.

With 10+ years in distributed systems, you will shape architecture for petabyte-scale data, optimize performance, and ensure high availability across global environments.

Qualifications

• 10+ years of software design and distributed systems experience in enterprise environments.
• Expert-level proficiency in Java and/or Scala with strong knowledge of algorithms and concurrency for high-performance distributed computing.
• Deep understanding of Linux/Unix internals, networks, and multi-node failure diagnosis.
• Hands-on architectural experience with Hadoop, Spark, Iceberg, and YuniKorn; open-source contributions preferred.
• Strong debugging, memory profiling, and performance tuning for large-scale systems.
• Delivery leadership with a track record of shipping complex infra products in fast-paced environments.

Responsibilities

• Architect distributed scalability and high availability for Hadoop and open-source data platforms.
• Drive end-to-end execution of data pipelines and platform frameworks for performance and reliability.
• Design internal and customer-facing tooling to improve data access, governance, and cluster management.
• Champion interoperability between Hadoop layers and enterprise platforms to automate workflows.

Skills

Java

Scala

Algorithms

Concurrency

Data structures

Linux

Hadoop

Spark

Iceberg

YuniKorn

Tools

Hadoop

Spark

Iceberg

YuniKorn

Job description

Job Summary

At eBay, were 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. Were 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.

Responsibilities

• Architect Distributed Scalability & High Availability: Lead architectural enhancements across massive Hadoop and open-source data platforms, ensuring elite system availability, fault tolerance, and zero-downtime scaling to support petabyte-scale growth and strategic enterprise initiatives.
• Drive High-Impact Infrastructure Initiatives: Own end-to-end technical execution of complex data processing pipelines and platform frameworks, optimizing resource utilization, throughput, and performance reliability across distributed environments.
• Engineer Developer & Operational Tooling: Design and deliver advanced internal and customer-facing tools that streamline data access, governance, and cluster management, empowering cross-functional engineering teams to extract insights efficiently.
• Architect Ecosystem Integration: Champion seamless interoperability between Hadoop data layers and broader enterprise platforms, eliminating operational silos and automating workflows to foster a cohesive, data-driven organizational ecosystem.

Qualifications & Technical Expertise

• Extensive Engineering Experience: 10+ years of software design and distributed systems development, backed by a deep mastery of open-source technologies, large-scale cluster architectures, and enterprise production environments.
• Advanced Programming & Computer Science Foundations: Expert-level proficiency in Java and/or Scala, with a robust command of algorithms, concurrency models, and data structures tailored for high-performance, low-latency distributed computing.
• Distributed Systems & Infrastructure Depth: Comprehensive mastery of Linux/Unix internals, network topologies, and distributed computing principles required to diagnose and resolve complex multi-node failure modes and bottlenecks.
• Big Data Ecosystem Mastery: Hands-on architectural expertise with modern big data frameworks (Hadoop, Spark, Apache Iceberg, Apache YuniKorn); active history of open-source project contributions or upstream community engagement is strongly preferred.
• Complex Troubleshooting & Performance Tuning: Proven diagnostic acumen in root-cause analysis, memory profiling, and systemic performance tuning for large-scale distributed defects and throughput constraints.
• Delivery & Execution Leadership: Results-driven technologist with a history of successfully shipping complex infrastructure products in fast-paced, high-velocity enterprise environments without compromising quality.