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Backend Engineering Internship – Automated Content & Social Media Integration

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Deadline: 22/08/2026

Skills for this role

Skills we detected for this role.

  • Python
  • JavaScript
  • SQL
  • Node.js
  • Express
  • Flask
  • FastAPI
  • REST APIs
  • Git
  • AWS
  • GitHub Actions
  • PostgreSQL

Opportunity brief

About GodStockss GodStockss is at the forefront of financial technology, providing cutting-edge solutions for market analysis and trading. We empower our users with timely and accurate data, helping them make informed decisions in the dynamic world of stock markets. Responsibilities Cron & Task Scheduling: Build automated schedules that trigger precisely on market days to fetch and process data. API Integration: Fetch existing market data from internal endpoints and seamlessly send media assets to the Meta Graph API for publishing. Image/Video Generation: Script automated text overlay on pre-defined template images/videos using tools like Pillow, Canvas, Puppeteer, or FFmpeg. Security & Reliability: Implement secure environment management for API keys, robust error retries, duplicate content checks, and efficient alerting mechanisms (Telegram/Email/Slack) for execution failures. Develop an end-to-end automation pipeline to fetch daily market data, populate design templates, and publish content directly to Instagram without manual intervention. Ensure the system triggers automatically at 9:45 AM on trading days, fetches stock data (Stock Name, Buy/Sell Signal, Entry, Stop Loss, Target) via API/Database, and generates dynamic captions and relevant financial hashtags. Requirements Core Backend Knowledge: Proficient in Python (FastAPI/Flask) or Node.js/Express. Data Fetching & APIs: Good understanding of REST APIs, web scrapers (if needed), and JSON parsing. Automation & Cron Jobs: Familiarity with scheduled tasks (Celery, node-cron, AWS EventBridge, or GitHub Actions). Meta/Instagram API: Basic understanding of Graph API for publishing business posts. Database & Version Control: Fundamental SQL/NoSQL knowledge and git-based workflow. This role is ideal for a proactive individual eager to build a critical automation system.

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