Andoria AI

Backend Support Intern

Andoria AI

Software & Data

1 week ago
Easy apply New

Job summary

This is a hands-on, learning-intensive backend development internship where you'll work directly with our senior DevOps/Software Engineer to build backend infrastructure. This isn't a coffee-fetching internship - you'll write real production code that thousands of users will interact with. You'll learn professional software development.

Min Qualification: Degree Experience Level: Internship & Graduate Experience Length: 1 year

Job descriptions & requirements

Responsibilities:

  • Implement basic CRUD (Create, Read, Update, Delete) operations for various features 
  • Write SQL queries for retrieving and manipulating data 
  • Document database schema changes and relationships 
  • Learn about database design principles including normalization, relationships, and performance optimization 
  • Build straightforward API endpoints under the guidance of the senior engineer 
  • Write middleware functions for common tasks like logging, error handling, and request parsing 
  • Handle simple bug fixes in existing APIs 
  • Test edge cases and error scenarios 
  • Document bugs you find with clear reproduction step
  • Help with environment setup tasks like configuring development environments 
  • Monitor application logs for errors and report issues 
  • Assist with deployments by running deployment scripts and verifying deployments 


Requirements: 

  • Currently enrolled in Computer Science, Software Engineering, Information Technology, or related degree program (Fresh Graduates are welcome to apply) 
  • Good academic standing with a minimum CGPA of 3.0/5.0 or equivalent 
  • Basic to intermediate JavaScript and Node.js knowledge 
  • Git/GitHub familiarity 
  • Basic understanding of how APIs work 
  • Previous projects (course projects acceptable)
  • Familiarity with SQL and relational databases (PostgreSQL preferred, but MySQL or any SQL database experience acceptable) 
  • Self-motivated and able to work independently with minimal supervision

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