godstockss

Backend Engineering Internship, Automated Content & Social Media Integration

Stipend not disclosedonline0-1 yrsApply by 23 Aug 2026

Overview

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.

What you'll do

  • 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.

Who can apply

  • Practical experience with Node, Python, Go, Flask.
  • Experience level: 0-1 yrs.
  • Strong written and verbal communication in English.
  • Comfortable working on-site in online.

Skills

NodePythonGoFlaskFastAPIAWS

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