Senior Software Engineer, Backend - Blockchain Platform (Blockchain Nodes)
Confirmed live in the last 24 hours
Coinbase
Compensation
$186,065 - $218,900/year
Job Description
Ready to be pushed beyond what you think you’re capable of?
At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.
To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.
Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.
While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.
- Blockchain Traffic Management, including stateful failover between multiple external providers
- Managing data consistency and block freshness to power critical internal services, such as our wallets and indexers
- Ensuring reliability and scalability across the blockchain platform stack
- Pioneering new technologies such as decoupling blockchain node storage and compute
- Building a platform on top of our existing nodes to reduce engineering effort and ops TOIL
- This person would be responsible for upgrading blockchain nodes, implementing automation to reduce TOIL and increase service effectiveness, and identifying new areas of investment (automation) to further streamline our service and reduce manual effort
- nodegomachine learningaibackendiosdataproductdesign
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