Software .Net Engineer

Type of Employment:
Full-time
Location:
Romania
Description
We're looking for a .NET Developer to join Global-e R&D department and take a significant part in the development of Global-e's core system.
We’re looking for someone who's passionate about technology and software development, with end-to-end experience developing
web applications with emphasis on server-side development, working in a complex, cloud-based environment.
Core group is responsible of the most important components of the system providing multi-tenant, fully customizable checkout experience; APIs for ecommerce platforms integration; end-to-end payments solutions that involve third party integration in a secured payment environment.
Core group develops infrastructures required for all operations. From web-based back-office applications to windows services and micro services as well as integrating with logistics hardware, and much more

Requirements

  • At least 5 years proven experience developing end to end web applications with .Net Core

  • Understand design patterns and OOD/OOP principles

  • Experience working with micro-services architecture

  • Experience working with relational & NoSQL databases

  • Experience working with cloud

  • Experience with Docker

  • Experience with Agile methodologies

  • Experience working with Couchbase, RabbitMQ

  • Experience with Mass Transit

  • Ability to work independently and as part of a team.

  • Strong problem-solving and analytical skills.

  • Excellent communication and collaboration skills in English.


Responsibilities

  • Collaborate effectively with cross-functional teams to design, develop, and deploy high-quality .NET microservices.

  • Demonstrate end-to-end ownership of the development process, including designing service APIs, creating service backends, and establishing efficient database communication.

  • Engineer robust and scalable backend systems utilizing Docker, C#, .NET, and associated frameworks.

  • Collaborate with data scientists and machine learning engineers to unlock the full potential of ML systems, enhance data quality, and establish efficient data flow workflows.

  • Implement optimizations to enhance service performance, scalability, and security.





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