ashby
Senior Backend Engineer
Partyhat
Remote, CAN
Full-time
Senior
Remote
Discovered 3 weeks ago
Node.jsGraphQLGolangMongoDBKafkaRedis
Free
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Node.jsGraphQLGolang
Key Skills for This Role
Node.jsGraphQLGolangMongoDBKafkaRedis
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The Mission
We aren’t looking for a traditional server administrator or a standard database developer who just writes basic CRUD APIs. We need an elite Backend Systems Architect who can build world-class, hyper-scalable, and fault-tolerant infrastructure with surgical precision. Your job is to engineer our core distributed systems, optimize real-time data pipelines, and ensure absolute service reliability under immense global load. This is a remote, high-availability role for a technical powerhouse who views backend systems as a high-performance engine and is comfortable operating at the absolute frontier of the Web3 economy.
We value structural integrity, clean concurrent code, and engineering momentum over corporate credentials. Whether you have designed high-throughput financial rails or led the architecture for high-velocity distributed platforms, we care about your ability to ship. If you have the analytical rigor to handle massive data concurrency, eliminate latency spikes, and protect data integrity, we will give you the runway to build our engine room.
Key Responsibilities
- Backend Systems Development: Design, scale, and maintain high-performance server-side logic that remains rock-solid under heavy concurrent user velocity.
- API Architecture: Build and optimize flexible, self-documenting API schemas that connect our complex internal data layers seamlessly to our consumer interfaces.
- Distributed Systems: Architect resilient, decentralized system nodes that communicate asynchronously with zero single points of failure.
- Database Design: Structure highly performant database schemas, indexes, and caching strategies to ensure sub-millisecond retrieval speeds for critical data.
- Infrastructure Scalability: Constantly stress-test, optimize, and scale our core service clusters to handle explosive traffic spikes and massive computational throughput.
- Service Reliability: Implement rigorous monitoring, automated failover protocols, and strict error-handling mechanics to ensure absolute 24/7/365 system uptime.
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