Backend Development - Internship

As a backend development intern at Vega Visionary Training FZE, you will have

the opportunity to work on cutting-edge projects using your expertise in

Python, REST API, Node.js, PostgreSQL, Git, GitHub, AWS Lambda, DevOps, Amazon

SQS, Redis, TypeScript, JWT, and team management.

Selected intern's day-to-day responsibilities include:

1\. Develop and maintain RESTful APIs across multiple platforms: Build Edge

Functions using Deno/TypeScript for serverless API endpoints, develop Fast API

applications with Python for high-performance REST APIs, create

Node.js/TypeScript APIs using Express or similar frameworks, deploy AWS Lambda

functions for serverless API endpoints, and ensure consistent API patterns

across all platforms with JWT authentication, CORS handling, and proper error

handling.

2\. Design and structure database schemas with PostgreSQL and vector database

operations: Architect PostgreSQL database schemas using normalization

principles and design table relationships (one-to-many, many-to-many) with

proper foreign key constraints, create database functions and triggers for

business logic and data integrity, implement Row Level Security (RLS) policies

for multi-tenant data access, write complex SQL queries with joins,

aggregations, and window functions for analytics, optimize queries with proper

indexing strategies, work with JSONB structures for flexible data storage,

implement vector database capabilities for AI-powered semantic search and

similarity matching, perform database migrations safely with version control,

and document schema decisions for team reference.

3\. Develop and deploy Cloudflare Workers and AWS Lambda functions: Build

Cloudflare Workers using TypeScript and the Workers runtime API for edge-based

request handling, implement edge routing and request transformation logic to

optimize API responses, configure Cloudflare KV storage for edge-accessible

key-value data caching, utilize Durable Objects for stateful edge computing

and real-time synchronization, set up Cloudflare Queues for reliable message

processing at the edge, implement cron triggers for scheduled tasks and

periodic data synchronization, implement edge-based image transformations and

content manipulation, leverage Cloudflare's global network for reduced latency

and improved user experience, develop AWS Lambda functions using Node.js or

Python runtimes for serverless compute tasks, integrate Lambda functions with

API Gateway for RESTful API endpoints and use AWS SAM or Serverless Framework

for infrastructure-as-code deployment of Lambda functions.

4\. Build and manage background job queues with rate limiting: Design and

implement distributed job queue systems using Redis Streams/PubSub or BullMQ

for asynchronous processing of bulk operations, configure job priorities and

scheduling for time-sensitive tasks, implement idempotency keys to prevent

duplicate processing, and set up retry mechanisms with exponential backoff and

maximum retry limits.