Web3 Jobs in San Francisco, California, United States

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Job Position Company Posted Location Salary Tags

Renegade

San Francisco, CA, United States

$85k - $148k

Halliday

San Francisco, CA, United States

$150k - $190k

Visa

San Francisco, CA, United States

$153k - $246k

Sharpe Search

San Francisco, CA, United States

$150k - $200k

Alchemy

San Francisco, CA, United States

$135k - $350k

Brave

San Francisco, CA, United States

$90k - $120k

Nifty Gateway Studio

San Francisco, CA, United States

$82k - $110k

visa

San Francisco, CA, United States

$63k - $74k

Bitwise Asset Management

San Francisco, CA, United States

$155k - $185k

visa

San Francisco, CA, United States

$68k - $110k

visa

San Francisco, CA, United States

$105k - $162k

visa

San Francisco, CA, United States

$95k - $115k

Swoon

San Francisco, CA, United States

$144k - $163k

ICME

San Francisco, CA, United States

$100k - $150k

Divine

San Francisco, CA, United States

$121k - $164k

Renegade
$85k - $148k estimated
San Francisco
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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 — 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
— 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 can move fast without making the codebase impossible to understand

If this fits, we look forward to chatting!

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