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Open nowPosted 22 hours ago

Senior Software Engineer, Data Services

Alchemy22 open roles

Pay
$205,000 – $230,000 a year
Where
San Francisco
Work mode
Hybrid
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Your applicationOpen nowSenior Software Engineer, Data ServicesAlchemy · San Francisco

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Alchemy's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

9.5% of postings close within 7 days. Measured by our own scanner across the market. Alchemy postings stay open a median of 38 days.

Share of postings closed within
  1. 1.8%1 day
  2. 4.0%3 days
  3. 9.5%7 days
  4. 15.6%14 days
  5. 33.9%30 days
This job: posted 22 hours ago

Alchemy median: 38 days open

The posting

ABOUT ALCHEMY

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 http://alchemy.com.

THE ROLE

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.

WHAT YOU WILL DO

- Build and operate blockchain ingestion, indexing, storage, and API-serving systems.

- Handle reorganizations, retries, duplicate events, and historical backfills without silently losing or corrupting data.

- Improve query performance and data freshness. Make those properties observable to the team and understandable to customers.

- Extend API capabilities and chain coverage, with tests for differences in chain behavior and data semantics.

- Develop streaming and event-delivery capabilities with explicit guarantees for ordering, replay, and failure recovery.

- Reduce the cost of storing, processing, and serving data through measured changes to architecture and query execution.

- Participate in production support and incident response for the systems you own. Maintain monitoring, runbooks, safe rollouts, and fixes that prevent recurrence.

WHAT WE ARE LOOKING FOR

- 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.

HELPFUL EXPERIENCE

- 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.

WHAT SUCCESS LOOKS LIKE

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 https://landing.bookster.ro/

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