Ebay MTS Software Engineer Data Platforms 

Canada, Ontario, Toronto 

777651650

MTS 2, Software Engineer, Data Platforms

Job Type: Full-time

This role is focused on Data Platform Engineering not data engineering . While familiarity with Spark, Flink , and other tools in the Hadoop ecosystem is valuable, your primary responsibility will be building and evolving the platform itself , not just authoring data pipelines.

• 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 .
  

• 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.

• Growth mindset with curiosity to learn new technologies.
  

• 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
  

• 8+ years of distributed systems or data platform experience.

• 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.