Quant Developer
Sharpe AI is an AI-powered crypto super app, described as 'The Intelligence Layer for Crypto.' It aims to be an all-in-one platform for intelligence, tracking, trading, and investing in digital assets. The platform unifies real-time on-chain crypto data, AI analytics, and integrated trading tools, including a Perp DEX, staking, and yield farming. Backed by investors like Animoca Brands, it serves crypto traders by providing a comprehensive suite of tools to analyze and trade in the market.
Projects
About Sharpe AI
Sharpe AI is an all-in-one, AI-powered crypto super app designed to simplify DeFi for both retail traders and institutional desks. The platform unifies real-time on-chain and off-chain data, AI-driven market signals, and built-in trade execution into a single, seamless terminal. It aggregates a wide range of products, including a perpetual DEX, NFT marketplaces, staking, portfolio management, and a crypto launchpad, all accessible through one UI. Sharpe AI's mission is to serve as the user interaction layer for mass crypto adoption by creating an ecosystem where various dApps and services work together. Key features include a unified data platform with low latency, CEX+DEX screeners, advanced trading for spot, perpetuals, and swaps, AI search agents, and multi-asset class coverage. Backed by investors like Animoca Brands, the platform supports multiple blockchain networks and engages its community with quests and rewards.
Skills
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