PostgreSQLJob Description
We are building an institutional-grade, fully automated equity research and decision-support system for Indian equities (NSE/BSE).
This is a backend-first, audit-grade system designed to function like an automated Investment Committee.
This is NOT:
- A trading bot
- A dashboard project
- A scraping tool
- A basic ML demo
It is a production-grade automation platform with strict data integrity and governance.
Core Responsibilities
- Design and implement automated ingestion of official NSE/BSE filings and authorized data sources
- Build PDF download, hashing (SHA256), deduplication, and versioning pipelines
- Implement deterministic BUY / HOLD / SELL rule engines in Python
- Enforce evidence validation before any AI/LLM processing
- Build audit logs, provenance tracking, and replayable pipelines
- Develop fault-tolerant scheduling, retries, and monitoring
- Ensure zero manual data handling
Technical Stack
- Python (primary)
- PostgreSQL
- REST / Authorized APIs
- Automated schedulers
- LLM parsing tools (e.g., LlamaParse or equivalent)
- Cloud deployment (AWS/GCP preferred)
Requirements
- 6+ years of backend / systems engineering experience
- Strong experience in building automated data pipelines
- Experience with financial / regulatory / compliance systems preferred
- Proven ability to deliver production-grade systems
- Comfortable working independently or leading a small team
Evaluation Process
Shortlisted candidates will be required to complete a paid Proof-of-Concept phase before long-term engagement.
This is a long-term opportunity for engineers who want to build serious, defensible financial infrastructure.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Follow CutshortShubham Vishwakarma
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