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Senior Staff Software Engineer

1 month ago

Old Toronto, Ontario, Canada eBay Full time
About eBay

eBay is a global ecommerce leader that is changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in over 190 markets around the world.

Job Summary

We are seeking an exceptional Senior Staff Engineer to join our team and help us redefine the face of eBay. As a key member of our engineering team, you will work with a world-class team of engineers, data scientists, product managers, designers, and analysts to create innovative products that make a difference on one of the world's most trafficked and loved websites.

Key Responsibilities
  • Design, develop, and implement highly scalable, resilient, and performant distributed systems that focus on customer experience.
  • Collaborate with architects, product management, engineering, data scientists, analysts, and operations teams to develop innovative solutions that align with development and business goals.
  • Lead product design, produce clear and well-documented design documents, and participate in design and code reviews.
  • Provide technical guidance, coaching, and mentorship to develop and improve the performance of individual team members and the overall team.
  • Rigorously follow the Definition of Done (DoD) process for better quality and other release criteria standards.
Requirements
  • BS/BA in Computer Science or related field plus 10+ years of work experience or MS with 8+ years of relevant experience.
  • Experience in software design and development, 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, and 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.