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Lead Java Developer

Lead Java Developer

HCL TechBee
5-7 Years
Not Disclosed

This job is no longer accepting applications

Job Description

Job Description:

Application Link: HCLTech React- Java FSD Task - Bangalore – Fill out form

  • Experience Required: 5+ years completed
  • Mandatory Skills: Java, React JS, Spring Boot, Microservices, CI/CD, JaCoCo, JUnit
  • Location: Bangalore Only
  • Notice Period: 0-45 Days

Please find the assessment details below:

Assignment: Please attempt the coding case study using the assignment link provided below and share the GitHub repository link for client submission.

Assignment Link:

https://drive.google.com/drive/folders/10iJQjGLhgEytdEa2n25P_Ly7l46FLvrlusp=sharing

Important Note: If you require any clarification regarding the assignment, we have planned an Orientation Call today at 5:30 PM.24-jul-26

  • If you would like to join the orientation call, please mention Yes in the form, and a Microsoft Teams invite will be shared with you.
  • Alternatively, you may directly complete the assessment and share the GitHub repository link to [Confidential Information].

Kindly ensure that the repository is accessible and contains all the necessary code and documentation.

Below are the key pointers/focus areas that you need to take care while attempting the case study-

  1. Implement code changes for all the tasks mentioned in the code assignment MD file(s)
  2. Document unit-testing and write the Junit test cases for positive, negative or error conditions.
  3. Track the source-code coverage using Code coverage tools such as JaCoCo (Expected – 80% or above)
  4. Follow the software development best practices such as Code Quality, Coding Standards, Exception Handling & Logging etc.
  5. Answer the questions in Questoins.md
  6. Finally, push changes to your GitHub repository and share the link. Also, you may consider adding CI/CD pipelines and health checks as good-to-have requirements.
  7. AI usage is allowed and encouraged. But evaluation of the code and case study response will also be done in terms of unnecessary or too sparse content (which a unsupervised usage of AI produces).

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