MTS 1, Software Engineer, Data Platforms

Software Engineer

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

About the Role: 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.

What You'll Do and Learn

• 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.

What You Bring

Must-haves:

• 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.

Nice-to-haves:

• Experience building multi-tenant platform services, data governance, or privacy-by-design controls.
• Contributions to open-source distributed systems or data platforms.

What Success Looks Like (6–12 Months)

• Consistently 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.

Why Join CDT @ eBay

• 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: Strong mentorship, career development resources, and sustainable on-call practices.

The base pay range for this position is expected in the range below:

$115,200 - $199,700

Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.