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What Will You Do
We are looking for exceptional engineering tech leaders and architects, who take pride in creating simple solutions to apparently-complex problems. Our Engineering tasks typically involve at least one of the following:
Architect scalable data pipelines processing billions of items, integrating ML models.
Design low-latency search/IR services on datasets of hundreds of millions of items.
Craft API designs and drive integration between data layers and customer-facing applications.
Design and run A/B tests in production to measure new functionality impact.
eBay is an amazing company to work for. Being on the team, you can expect to benefit from:
A competitive salary - including stock grants and a yearly bonus
A healthy work culture that promotes business impact and at the same time highly values your personal well-being
Being part of a force for good in this world - eBay truly cares about its employees, its customers, and the world’s population, and takes every opportunity to make this clearly apparent
Job Responsibilities
Architect and drive strategic evolution of data pipelines, ML frameworks, and service infrastructure.
Define and lead performance optimization strategies for critical systems.
Collaborate on project scope and define long-term architectural vision.
Develop and champion technical strategies aligned with business objectives.
Lead cross-functional architectural initiatives, ensuring coherent solutions.
Establish and champion organization-wide knowledge sharing and best practices.
Minimum Qualifications
Passion and commitment for technical excellence
B.Sc. or M.Sc. in Computer Science or an equivalent professional experience
8+ years of software design, architecture, and development experience, tackling complex problems in backend services and / or data pipelines
Solid foundation in Data Structures, Algorithms, Object-Oriented Programming, and Software Design
Architectural expertise in production-grade systems using Java, Python/Scala.
Strategic design and operational leadership of large-scale Big Data processing pipelines (Hadoop, Spark).
Proven ability to resolve complex architectural challenges in production software systems.
Executive-level communication and collaboration skills for influencing technical direction.
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