Web Developer - Intelligent Automation

We require someone with 5-7 years experience in web development, including:

• Working with repositories (GitHub)
• JavaScript
• CSS
• and Amazon Web Services
• Robotic Process Automation

Must have

1. Automation and Scripting:

• General programming skills to be able to work with any programming language at a medium level, preferably JavaScript (with CSS and JSON skills.
• )Ability to troubleshoot and debug deployment pipelines in GitHub Actions, including reviewing logs and understanding pipeline failures.

2. Amazon Web Services (AWS):

• Knowledge of how to create, manage, and configure S3 buckets, including setting permissions, configuring bucket policies, and enabling static website hosting (if applicable).
• Understanding of how to manage AWS access using IAM roles and policies. The candidate must be able to create or configure IAM roles with the necessary permissions to access S3.
• Ability to configure access using environment variables, or leveraging GitHub Actions to securely configure AWS credentials. The candidate must be able to grant the correct permissions for the GitHub Actions runner to access and deploy to the S3 bucket.

3. CI/CD and GitHub Actions:

• Proficiency in using Git/GitHub for version control, especially the ability to push changes, manage branches, and set up repository triggers for deployments (e.g., triggering the pipeline on push to the main branch).
• Understanding of continuous integration and continuous deployment practices. The candidate should know how to build, test, and deploy using pipelines.
• Environment Variables and Secrets: Knowledge of securely storing and using secrets (such as AWS credentials) in GitHub via GitHub Secrets.

Nice to have:

• Basic knowledge of KoreAi environment, general AI knowledge and way how ChatBot works.
• Shell scripting: Basic knowledge in shell scripting for creating commands and scripts to automate deployment tasks.
• GitHub Actions: Experience with creating and managing workflows in GitHub Actions, which involves creating YAML files to define pipelines.
• AWS CLI/SDK: Familiarity with the AWS Command Line Interface (CLI) or SDK, especially commands such as aws s3 cp or aws s3 sync to interact with S3 buckets programmatically.
• Databases: basic knowledge of SQL language (preferably Ms SQL/T-SQL.