Sr MTS Software Engineer, Data Platforms

The Networker; Bengaluru; On-site; INR 2,800,000 - 3,600,000; Full time

Job summary

eBay is seeking a Sr MTS Software Engineer to join the Golden Data Sets Platform team within Core Data Platform. You will design and implement scalable distributed systems powering data pipelines and governance, with emphasis on correctness and cost efficiency.

You will work across ingestion, streaming, lakehouse, and catalog components, contribute to architecture reviews, ensure observability, security, and resilience, and mentor teams while delivering production-grade platform features.

Qualifications

• Experience designing large-scale distributed systems (compute, storage, APIs, streaming).
• 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.
• Self-driven growth mindset with curiosity to learn new technologies.
• Experience driving cross-team technical initiatives end-to-end

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 authoring architecture design documents, ensuring scalability and resilience.
• Build systems that balance latency at large scale, 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

Education

BS/MS in CS or equivalent experience

Tools

Kafka/Flink

Spark

Delta/Iceberg

Kubernetes

NoSQL/columnar stores

Job description

About the Role

We are looking for Sr MTS 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 at large scale, 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.

What you bring

• Experience designing large-scale distributed systems (compute, storage, APIs, streaming).
• 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.
• Self-driven growth mindset with curiosity to learn new technologies.
• Experience driving cross-team technical initiatives end-to-end

Qualifications

• 12+ 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.
• Hands-on expertise in tools like Kafka/Flink, Spark, Delta/Iceberg, Kubernetes, NoSQL/columnar stores.
• Experience in streaming and batch data platforms.
• Strong foundation in algorithms and distributed design.
• BS/MS in CS or equivalent experience.