Crypto Developer Jobs

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Job Position Company Posted Location Salary Tags

Renegade

San Francisco, CA, United States

$85k - $148k

Crypto.com

Hong Kong, Hong Kong

$112k - $156k

GenLayer Labs

New York, NY, United States

$98k - $120k

Cboe

Chicago, IL, United States

$246k - $304k

travoom

Austin, TX, United States

$87k - $93k

Whale

Remote

$90k - $120k

Coinbase

Remote

$218k - $256k

Coinbase

Remote

$253k - $298k

Coinme

Remote

$84k - $106k

Okx

Remote

$95k - $107k

1inch

New York, NY, United States

$62k - $75k

Kraken

United States

$96k - $192k

Jumpcrypto

Remote

$104k - $149k

Kraken

United States

$110k - $220k

Bitpanda

Remote

$87k - $87k

Renegade
$85k - $148k estimated
San Francisco

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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