Renegade Jobs in San Francisco, United States
There are 7 Web3 Jobs at Renegade
web3.career is now part of the
Bondex Ecosystem
| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Renegade | San Francisco, CA, United States | $85k - $148k | |||
Renegade | San Francisco, CA, United States | $81k - $95k | |||
Renegade | San Francisco, CA, United States | $54k - $100k | |||
Renegade | San Francisco, CA, United States | $90k - $110k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Renegade | San Francisco, CA, United States | $113k - $165k | |||
Renegade | San Francisco, CA, United States | $104k - $117k | |||
Renegade | San Francisco, CA, United States | $113k - $165k |
Software Engineer
San Francisco
Engineering /
Full Time /
On-site
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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 β 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:
β Design a scalable onchain event ingestion + indexing pipeline
β Debug gnarly distributed-systems issues (e.g. raft / consensus edge cases)
β 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
Youβre excited by hard systems problems: trading infrastructure, ZK, distributed systems, performance-sensitive Rust, etc. Youβre also senior-leaning on systems judgment:
β Youβve built/operated production systems and can anticipate scaling + failure modes
β You have taste: you push for simpler designs, strong invariants, good observability
β You can move fast without making the codebase impossible to understand
If this fits, we look forward to chatting!
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