Backend Engineer - E-commerce Recommendation Infrastructure

    Why Join Us


    Creation is the core of company's purpose. Our platform is built to help imaginations thrive. 
    Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
    To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
    We create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
    Join us.

    About the team

    E-commerce is a relatively new and rapidly expanding industry that uses commodity recommendation, short films, and live streaming to connect all consumers with top sellers and high-quality products. In order to give our users the most reliable and excellent experience possible, our E-commerce Recommendation Infra team is in charge of developing and refining the infrastructure for these recommendation systems. We develop scalable platforms to support a wide range of cutting-edge algorithms and methodologies in close collaboration with applied machine learning specialists.

    Responsibilities

     

    • Create and manage top-notch web services for the recommendation system.
    • Create incredibly dependable and effective data pipelines for the creation of profiles, training examples, candidates, and real-time online training, among other uses;
    • Create a large-scale, multinational recommendation system;
    • Create and build storage systems and frameworks for high performance computing.
    • Conduct research, create software for computers and networks, or create specialized utility programs.
    • Utilizing the concepts and methods of computer science, engineering, and quantitative analysis, analyze user demands and create software solutions.
    • Update software, improve features already present in software, create and oversee software testing and validation processes.
    • Assist computer hardware engineers in developing specifications and performance criteria, as well as integrating hardware and software systems.

    Qualifications

    • A bachelor's degree or higher, specializing in computer science or a related subject, and having built scalable systems for at least five years;
    • Have at least some programming experience with one of the following languages: Golang, Python, Java, C++;
    • strong communication abilities, drive, and a sense of ownership;
    • Knowledgeable in at least one of the following fields: A benefit include search engines, large data frameworks, distributed storage systems, machine learning, and tailored recommendations.

    HOW TO APPLY:

    Ms. Nguyen Thi Nhu Hoa

    E-mail: nhuhoa.nguyen@ev-search.com

     

     

    Interested in this position?

    Get in touch with us now!

    Quick Apply
    Email