Senior Quant Developer (Web3)

Quant Developer

Company

Sharpe AI

Conditions

1 day agoSenior Delhi, Noida, Work From Home Hybrid Trading Jobs by Sharpe AI

Skills

Flink Indexing Subgraph Websocket Postgresql Data Pipeline Quantitative Modeling Cloud Defi Rest Streaming Time Series Sql Python Nosql Timescaledb Go Api Trading Mysql Smart Contract Statistics Etl Kafka Data Modeling

About the Role

You will design, build, and maintain scalable data pipelines and real-time streaming systems. You will develop WebSocket and API integrations for data ingestion and delivery, implement ETL/ELT processes, and optimize relational and non-relational databases. You will build and deploy quantitative models to production, work on indexing infrastructure for smart contract data and subgraphs, and implement tools for data integrity, quality, and observability.

Requirements

• Master's degree in Computer Science, Finance, or 2+ years of experience in finance data, backend systems, or similar roles
• Strong knowledge of databases (SQL, NoSQL) and experience with data modeling and schema design
• Proficient with PostgreSQL, TimescaleDB, or other time-series/analytical databases
• Hands-on experience with stream processing frameworks such as Kafka or Flink
• Expertise in building and consuming RESTful APIs and WebSocket protocols
• Familiarity with blockchain data or financial data
• Strong programming skills in Python or Go
• Experience with quantitative finance modeling, DeFi metrics, or financial KPIs is a strong plus
• Solid understanding of cloud infrastructure such as AWS or GCP

Responsibilities

• Design, build, and maintain scalable data pipelines and streaming systems
• Develop real-time WebSocket and API integrations for data ingestion and delivery
• Manage and optimize relational and non-relational databases for performance, reliability, and scalability
• Build quantitative models and serve them in production environments
• Design, build, and maintain robust ETL/ELT pipelines for ingesting and transforming on-chain and off-chain data
• Build a real-time data streaming infrastructure using tools like Kafka or equivalent
• Architect and optimize databases to support complex queries and financial data models
• Collaborate with product and analytics teams to design and deploy quantitative models for TVL, yield tracking, and protocol metrics
• Implement tools and practices to ensure data integrity, quality, and observability
• Contribute to indexing infrastructure, working with smart contract data, subgraphs, or custom indexers

Benefits

• Hybrid work

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