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Backend Software Engineer

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Onsite

Backend Software Engineer

LVIS

Backend Software Engineer

Skills

Google Cloud PlatformSQL QueriesDeep LearningJavaC#Spring BootAWSFullstack DevelopmentAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Incheon, South Korea

Work mode:

Onsite

Published on:

9 September 2026

What they need


Company Description

LVIS Corporation is on a mission to revolutionize the entire continuum of neurological care by developing AI driven software tools to help physicians accelerate patient throughput and improve patient diagnostic and treatment outcomes. We have an international team with our headquarters located in Palo Alto, California, USA, and we have an office in Gangnam, Seoul, South Korea. We are looking for talented individuals to join us in our mission to transform the neurology health care industry.

Responsibilities

  • Implementation of a data processing pipeline for cloud services such as data upload, signal processing, storage, etc
  • Design and implementation of backend administrative services such as account management, billing, payment, etc
  • Inter-regional cloud communication
  • Cloud service stability and performance optimization

Basic Qualifications

  • 6+ years of experience in software product development
  • Strong programming skills in implementing web APIs using Java, Spring Framework, Hibernate, RDBMS, and No-SQL or various tool via C#
  • BS degree in Computer Science, Electrical Engineering, or similar technical field
  • Experience in the implementation of the automated building, testing, and deployment environment and familiarity with code review using Git
  • Strong knowledge of algorithm design and data structures

Preferred Qualifications

  • Masters in Computer Science, Electrical Engineering, or similar technical field
  • Experience in the development of medical devices using HL7
  • Familiarity with the web development life cycle from planning, implementation, testing, to deployment and maintenance
  • Comfortable with both Java and C#
  • Experience in the optimization of deep neural networks for commercial use
  • Experience with cloud services such as AWS, Google Cloud, and Azure

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