Ebay MTS Software Engineer Data Platforms 

India, Karnataka, Bengaluru 

581014241

We’re seeking a Member of Technical Staff 1 (Software Engineer) who can work independently and is an expert in distributed systems . You’ll design and deliver well-scoped services and features that advance eBay’s Core Data Platform—improving scalability, reliability, and developer experience. This role is Data Platform Engineering not data engineering ): you’ll build and evolve the platform itself rather than author application pipelines.

• Independently design, implement, and ship distributed services and features end-to-end (design → code → tests → deploy → operate).

• Build core platform capabilities across ingestion, streaming, lakehouse/warehouse, catalog, and governance .

• Write production-grade code with strong observability (metrics, logs, traces) and SLOs , and participate in on-call for the services you own.

• Diagnose and resolve performance, scalability, and correctness issues in distributed environments.

• Contribute design docs for your areas; participate in reviews to uphold reliability, security, and cost best practices.

• Collaborate with product, infra, and analytics teams to align technical work with business outcomes.
  

• 6+ years of professional software engineering experience (or equivalent impact).

• Expertise in distributed systems fundamentals (consensus, replication, partitioning, consistency models, fault tolerance) and practical experience building and running such systems in production.

• Strong coding skills in Java/Python and familiarity with CI/CD .

• Hands-on with some of: Kafka/Flink , Spark , Delta/Iceberg , Kubernetes , NoSQL/columnar stores .

• Proven ability to work independently , make sound tradeoffs, and deliver quality outcomes with minimal supervision.

• Solid debugging, performance analysis, and system design skills.
  

• multi-tenant platform services, data governance, or privacy-by-design controls.

• Contributions to open-source distributed systems or data platforms.
  

• ships independent, well-scoped features/services to production with strong reliability.

• Demonstrably improves throughput/latency/cost or availability/SLOs on owned services.

• Becomes a go-to engineer for distributed-systems debugging and design conversations within the team.

• Maintains high code quality, test coverage, and quality-in-release metrics.
  

• Impact at scale: Your platform work powers analytics and ML across a global marketplace.

• Hard problems: Streaming freshness/correctness, storage/compute efficiency, multi-region resiliency.

• Collaborative culture: Inclusive team that values autonomy, craftsmanship, and knowledge sharing.

• Growth: