Our mission is to bring web3 to a billion people, by providing builders with the tools they need to build exceptional onchain products. Alchemy is the only complete developer platform that offers the powerful APIs, SDKs, and tools necessary to build and scale onchain apps and rollups.
Our infrastructure powers 70% of the top web3 teams, 90%+ of web2 companies building in web3 and 100+ million end users. Our customers include top web3 brands like Polymarket, OpenSea, Circle, WorldCoin, as well as major global brands like Shopify and Adobe.
The Alchemy team draws from decades of deep expertise in massively scalable infrastructure, AI, and blockchain from leadership roles at leading companies and universities like Google, Microsoft, Facebook, Stanford, and MIT.
We're backed by the world's leading VCs and institutions, including: Lightspeed, Silver Lake, a16z, Coatue, Pantera, Addition, Stanford University, Coinbase, and Charles Schwab, among others.
The Role
As an engineer focused on backend systems at Alchemy, you'll be working with one of the most sophisticated and high-throughput distributed systems in the blockchain world. You'll focus on architecting and building new systems as well as improving existing ones for a platform that supports millions of users globally.
What You'll Do:
- Own the end to end product lifecycle of identifying, designing, and building new features
- Contribute and lead backend design discussions, stand up meetings, and code reviews
- Develop and own best practices for backend application development with a focus on high throughput, high reliability, and low latency
- Identify opportunities to improve existing practices and uphold Alchemy's high technical quality bar
- Write stable, high coverage test cases for features you ship
- Debug production issues across services and multiple levels of the stack
- Collaborate with other engineers, PMs, and designers
What We're Looking For:
- 5+ years of relevant industry experience
- BS/BA degree in Computer Science
- Experience designing, building, scaling and maintaining core backend software components (experience with API platforms a plus)
- Ability to solve complex design, scaling, latency, or performance problems in high-throughput, low-latency systems
- Experience with AWS technologies is a plus
- Experience with production distributed systems, web applications, and microservice architecture
- Experience developing with Java (Micronauts), Typescript (Node), and/or Python (Django)
- Proven track record building highly available and highly scalable systems
- Self-starter attitude and the ability to execute new ideas with autonomy
- Know how to find the right balance between perfection and shipping quickly
- Web3 experience, a plus
- Founded a company or built side projects, a plus
- Experience in startups, a plus
More on The Role
Alchemy is committed to offering competitive compensation, including base salary as well as equity. Additionally, Alchemy offers comprehensive medical, dental, and vision coverage, as well as other benefits such as 401k and unlimited flexible time off.
The base salary range for this position is estimated to be between $135,000 - $350,000 annually. Please note this range reflects base salary only, and does not include bonus, equity, or benefits. Your salary will be determined by various factors, including relevant experience, skill set, qualifications, and other business needs.
Top Skills
Alchemy San Francisco, California, USA Office
San Francisco, CA, United States
Similar Jobs at Alchemy
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
