Senior Software Engineer, Data Services

Alchemy is the Web3 infrastructure and developer platform that powers millions of users and the world’s most innovative blockchain applications. From enabling $1+ trillion in financial transactions worldwide to scaling L2s and enabling DeFi, Alchemy provides the infrastructure and tools developers need to build reliable, scalable, and accessible experiences.

Trusted by companies like JPMorgan, Stripe, Visa, Franklin Templeton, Nike, and backed by a16z, Coatue, Silver Lake, Lightspeed, and Stanford University, Alchemy is building the foundational layer for a decentralized and AI-enabled Web3 ecosystem. For more information, visit alchemy.com.

Build the systems that turn blockchain activity into data developers can use. Alchemy’s Data Services work includes token, portfolio, and transfer APIs, with streaming in the updated roadmap.

You will own backend projects from ingestion through serving, making data correct, fresh, and fast to query. You will work with Product and customer-facing teams to understand what developers need, then ship improvements and measure their effect on reliability, performance, and cost.

A track record of independently designing, shipping, and operating production backend or distributed data systems.

Strong programming skills in a production backend language, plus experience with databases, indexing, and query performance.

Experience reasoning about consistency, partitioning, asynchronous processing, and failure recovery.

Evidence that you can diagnose a production problem and improve the system beyond the immediate fix.

Sound API design judgment, including compatibility, pagination, error handling, and data contracts.

Clear communication and the ability to turn an ambiguous customer problem into a scoped engineering project.

Blockchain experience is helpful, but not required. You should be interested in learning how chain behavior affects data correctness.

ClickHouse or other analytical databases; Kafka or similar streaming systems.

Blockchain indexers, EVM logs and traces, finality, or non-EVM data models.

Developer-facing data APIs, real-time delivery, or large historical datasets.

Storage migrations and performance or cost optimization under production traffic.

Within three months:

You have shipped a customer-facing improvement and can show its effect on data quality, freshness, latency, or cost.

You own a production component, have tested its recovery behavior, and have proposed the next improvement using operational evidence and developer feedback.

Benefits & Perks

🏥 Private Health Insurance

💪 Gym Reimbursement

🚅 Commuter Benefits

🌴 Flexible Time Off

🥙 In-Office Group Meals

🧠 Learning & Development Stipend

🌎 Company Sponsored Conferences & Events

🎧 Books & Audiobook subscription with Bookster