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Ebay Staff Software Engineer - MTS 
Canada, Ontario, Toronto 
366936090

Yesterday

שיתוף

התחבר/י כדי להגיש מועמדות

The ideal candidate has a deep understanding of building large scale applications, low latency API’s, data pipelines, and a high focus on capability oriented architecture. As the lead engineer you will oversee aspects of the software lifecycle.

Primary Job Responsibilities:

  • Define, design, and implement highly scalable, resilient and performant distributed systems focusing on customer experience

  • Work throughout all phases of the software development process independently as well as work jointly with other team members

  • Collaborate with architects, product management, engineering, data scientists/Applied Researchers, Analysts and Operations teams to develop innovative solutions alignment to development/business goals and principles

  • Lead product design, produce clear, well-documented design docs, and participate in design and code reviews

  • Voice support for and communicate your design, methods, and results to a community of developers, analysts, and product managers

  • Provide technical guidance, coaching, mentorship to develop and improve performance of individual team members and success of overall team

  • Lead by example and share knowledge with the team

Job Requirements

  • BS/BA in Computer Science or related field plus 10+ years work experience or MS with 8+ years of relevant experience

  • Experience on software design and development experience, solid foundation in computer science with strong proficiencies in system architecture, distributed systems, data structures, algorithms, OOPs, OOA/D and Functional programming

  • Proven experience in software development using Java, Scala, RESTful Web Services. Experience with Python and/or JS is a plus.

  • Experience in developing data-driven applications using an industry standard RDBMS, NoSQL

  • Experience in designing, and building highly scalable, fault tolerant distributed systems and services for large web sites

  • Experience with big data technologies like Spark, Flink, and Kafka

  • Self-driven and with a delivery focused in a fast paced and dynamic environment.

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