Sr. Backend Engineer, Historical APIs
crypto:applicationengineeringIC5Engineering
Compensation
Not disclosed
ABOUT HELIUS
Helius is building the core infrastructure for Solana - empowering developers to create the next generation of crypto-powered applications. Our mission is to accelerate the development of internet capital markets by making it easier, faster, and more intuitive to build on-chain.
Thousands of teams - from early-stage startups to industry leaders like Coinbase, Phantom, and Jupiter - rely on Helius APIs, webhooks, and indexing tools to power their products. Backed by Haun Ventures, Founders Fund, and Foundation Capital, we’re a small, senior team obsessed with performance, simplicity, and scalability in decentralized systems.
Read our Helius Manifesto https://www.helius.dev/blog/manifestoto see how we work and what we value.
ABOUT THE ROLE
We're looking for a Senior Backend Engineer who wants to work on serious infrastructure. This isn't a narrow feature role - you'll own meaningful pieces of the stack, drive technical decisions, and ship production code that gets used immediately. You'll work alongside staff engineers, contribute to architectural discussions, and take end-to-end ownership of projects that directly impact our performance and scalability. Expect high ownership, fast feedback loops, and real impact.
ABOUT THE TEAM
The Archival team exposes APIs for querying Solana’s multi-petabyte ledger with sub 100ms latency. If you love the challenge of large datasets and low-latency performance engineering, this is the right team for you. The team moves fast, owns an enormous surface area, and operates like a small group of founders sitting in the critical path of the company.
WHAT YOU'LL DO
- Build and own ingestion, indexing, and retrieval features across our archival systems
- Improve API performance and reliability for high-throughput services
- Optimize query performance and design schemas for databases like ClickHouse, Postgres, and RocksDB
- Collaborate with staff engineers on caching strategies, scaling patterns, and distributed data