Senior Member of Technical Staff

eBay

Bengaluru

On-site

INR 1,800,000 - 2,400,000

Full time

14 days+
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Job summary

eBay is seeking a Senior Software Engineer to join the Golden Data Sets Platform in Bengaluru. You will help build a fully declarative data platform that optimizes data pipelines, reducing waste and cost, and power analytics and ML systems.

Expect to own major components from design to production, work on ingestion, streaming, lakehouse, catalog, and governance, and collaborate across product, infra, and analytics teams. 10+ years in distributed systems with Java/Python and CI/CD is expected.

Qualifications

  • 10+ years of software engineering experience, primarily in distributed systems or data platforms.
  • Proven ability to design and deliver critical systems with impact.
  • Strong communication skills to influence cross‑team technical outcomes.
  • Experience in streaming and batch data platforms.

Responsibilities

  • Own and deliver major components of eBay’s Data Platforms — from design through production rollout.
  • Design and evolve distributed systems powering ingestion, streaming, lakehouse/warehouse, catalog, and governance.
  • Contribute to long‑term architecture through design reviews and architecture design documents.
  • Build systems balancing latency, correctness, and cost with security and compliance.

Skills

Java
Python
CI/CD
Containerization

Tools

Spark
Flink
Hadoop

Job description

eBay is a global commerce leader that connects millions of buyers and sellers around the world. We empower people and create economic opportunities for individuals, businesses, and communities. We're driven by a vision to create a more sustainable form of commerce that benefits the environment and society as a whole. Join us as we continue to innovate and shape the future of e-commerce.

Job Description:

Cloud Data Technologies (CDT) team at eBay is responsible for all the data platform, infrastructure and management of end-to-end data lifecycle for all eBay data from eBay products to analytics use cases. We are seeking a Software Engineer passionate about data-driven technologies and architectures.

About the Role

We are looking for MTS 2 Software Engineers to join the Golden Data Sets (GDS) Platform team within eBay's Core Data Platform organization.

The problem we're solving is significant: eBay currently manages over ten thousands of loosely defined datasets with fragmented pipeline implementations, resulting in widespread data duplication, redundant compute, and runaway operational costs. The GDS Platform addresses this by building a fully declarative data platform — one that accepts dataset specifications, maintains a comprehensive view of the total data flow graph, and automatically produces optimized pipelines to systematically eliminate these inefficiencies at scale.

As an engineer on this team, you will contribute to the systems that power this platform — from computation graph management to pipeline optimization and dataset lifecycle. Your work will directly reduce operational waste across eBay's data infrastructure.

Note:

This is a Data Platform Engineering role. Familiarity with Spark, Flink, and the Hadoop ecosystem is useful context, but your primary responsibility is building the platform itself — not authoring pipelines.

What you’ll do and learn
  • Own and deliver major components of eBay’s Data Platforms — from design through production rollout.
  • Design and evolve distributed systems powering ingestion, streaming, lakehouse/warehouse, catalog, and governance.
  • Contribute to long‑term architecture through design reviews and authoring architecture design documents, ensuring scalability and resilience.
  • Build systems that balance latency, correctness, and cost while ensuring security and compliance.
  • Drive operational excellence for services you own, including observability and incident response.
  • Collaborate across product, infra, and analytics teams to align execution with business needs.
  • Learn and grow in areas like governance, orchestration, and privacy engineering.
What you bring
  • Ability to independently deliver complex projects from requirements to production.
  • Systems thinker who anticipates bottlenecks, schema evolution, and reliability issues.
  • Strong communication skills to influence cross‑team technical outcomes.
  • Growth mindset with curiosity to learn new technologies.
What we bring
  • Impact at scale: powering global analytics and ML systems.
  • Challenging problems: streaming, freshness/correctness, and multi-cloud resiliency.
  • Collaborative culture that values inclusion and knowledge sharing.
  • Support & growth: flexibility, benefits, and career development resources.
  • Focus on reliability and sustainable on‑call practices.
Qualifications
  • 10+ years of software engineering experience, primarily in distributed systems or data platforms.
  • Proven ability to design and deliver critical systems with impact.
  • Proficiency in Java/Python, CI/CD, and containerized environments.
  • Experience in streaming and batch data platforms.
  • Strong foundation in algorithms and distributed design.
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