Renegade4mo ago

Software Engineer

San Francisco,San FranciscoFull Timemid

Software EngineerSoftware Engineering

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Quick Summary

Overview

About Renegade We're building an onchain dark pool. Dark pools are private exchanges for institutional trading. They're an important part of market structure in US equities trading, and we're bring them to crypto in a DeFi-native way — fully onchain, with no trusted intermediaries.

Requirements Summary

You’re excited by hard systems problems: trading infrastructure, ZK, distributed systems, performance-sensitive Rust, etc. You’re also senior-leaning on systems judgment: — You’ve built/operated production systems and can anticipate scaling +…

Technical Tools

rustdistributed-systems

About Renegade

We're building an onchain dark pool.

Dark pools are private exchanges for institutional trading. They're an important part of market structure in US equities trading, and we're bring them to crypto in a DeFi-native way — fully onchain, with no trusted intermediaries.

We've been live since late 2024, raised $20M+ in venture dollars, matched $300M+ in volume, and have a lean team that works in-person in San Francisco.

Judge our code quality: https://github.com/renegade-fi/renegade

Check out the site: https://renegade.fi/

Read the docs: https://docs.renegade.fi/

About The Role

We're looking for one systems-focused engineer to join our team of four.

On a team this small, you'll have real ownership and a wide surface area. Example projects:

— Design a scalable onchain event ingestion + indexing pipeline

— Optimize our hedging stack to improve delta neutrality for altcoins

— Debug gnarly distributed-systems issues (e.g. raft / consensus edge cases)

— Benchmark + optimize our ZK prover stack to raise throughput / rate limits

You can shape the role: if you want more customer-facing work, great. If you want to go heads-down and aggressively optimize performance and reliability, also great.

About You

You’re excited by hard systems problems: trading infrastructure, ZK, distributed systems, performance-sensitive Rust, etc. You’re also senior-leaning on systems judgment:

— You’ve built/operated production systems and can anticipate scaling + failure modes

— You have taste: you push for simpler designs, strong invariants, good observability

— You are thoughtful: you can design safe systems that manage 7 figures of onchain funds

— You can move fast without making the codebase impossible to understand

If this fits, we look forward to chatting!