Description:
Astralane is building the next generation of low-latency tooling for Solana and other high-throughput chains. You’ll join a small, tight-knit team that’s obsessed with squeezing out every last microsecond in trade execution, on-chain data analysis, and protocol-level optimization.
What You’ll Do
- Implement Rust-based tools to ingest, clean, and analyze high-volume blockchain and market data.
- Build and optimize data pipelines for trade analysis, backtesting, and statistical research.
- Work with Solana RPCs, transaction logs, and public APIs to extract insights from on-chain MEV activity.
- Detect, classify, and explain MEV patterns (e.g., backruns, arbitrage) by decoding raw transactions.
- Collaborate with engineers on low-latency networking, custom RPC/GRPC clients, and real-time monitoring dashboards.
- Research quantitative strategies, write prototypes, and contribute to production-grade code.
- Present findings in clear write-ups and team demos—your insights will directly inform our product roadmap.
What We’re Looking For
- Proficiency in Rust (or C++/Go with eagerness to pick up Rust).
- Strong foundations in computer science (data structures, algorithms, concurrency).
- Solid math/stats background (linear algebra, probability, basic ML).
- Hands-on experience with data analysis—Python, SQL, or other tools.
- Bonus: familiarity with blockchain concepts (accounts, transactions, MEV), Solana RPCs, trading APIs, or on-chain data indexing.
- Excellent communicator who thrives in a highly collaborative, fast-paced environment.