Senior Software Engineer, Data Services
Alchemy
Listing collected from Alchemy's career site. NextChapter is independent of Alchemy.
Remote · San Francisco, CA · Posted October 14, 2026
Just laid off? Start here: a plan for the first weeks
See every open role at Alchemy
More in California job market · All Senior Software Engineer jobs (2,381) · Manufacturing & Industrial · Data & Analytics jobs
More roles at Alchemy
- Lead IT Applications Manager · San Francisco, CA
- Accounts Payable Accountant (Remote) · San Francisco, CA
- Security Operations Engineer · San Francisco, CA
- Growth Marketing Lead · San Francisco, CA
- Senior Software Engineer, Data Services · San Francisco, CA
- Senior Product Designer · San Francisco, CA
Similar jobs
- Sr. Staff Field Applications Engineer · Infineon Technologies · San Jose, CA
- Senior Software Engineer · Workday · Pleasanton, CA
- Sr Software Development Engineer - Core Platform Integration · Workday · Pleasanton, CA
- Principal Software Engineer – Mobile Software Architecture · Qualcomm Technologies · San Diego, CA
- Senior Embedded Software Engineer · Paccar · Sunnyvale, CA
- Software Engineer 3 - Sensor, macOS (Remote) · CrowdStrike Holdings · CA
Where San Francisco, CA ranks
Where San Francisco, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for security jobs316 openings · of 20
- #1Best cities for technology jobs7,178 openings · of 100
- #1Best cities for financial services pay after cost of living$173k · of 33
- #1Best cities for entry-level jobs that want AI skills35% · of 100
- #1Best cities for entry-level jobs that want AI skills in the West Coast35% · of 54
- #1Cities with the most jobs that do not need a four-year degree in the West Coast902 jobs · of 47
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing does not state pay. Across 929 open senior software engineer listings that state pay, the middle half runs $182,500 to $222,500 and the median is $204,000.
Listed pay is what employers advertise, not what people are paid.
Senior Software Engineer salaries by state · Check your own pay
How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
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 .
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