Sr MTS Software Engineer, Data Platforms (12+)
ebayinc | 8 hours ago | Bengaluru

  • 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

 

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

  • 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.

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