Bedrock Data
Engineer, Full Stack
San Mateo, CA
Sponsorship not specified$150k-$230kDetected 26 days ago
TypeScriptReactNode.jsFull-Stack DevelopmentCI/CDAPI DevelopmentGraphQLCybersecurityFigma
About the role
- Greylock has backed a number of successful startups, including Palo Alto Networks, Sumo Logic, and Abnormal Security, along with non-security companies such as Airbnb, Figma, and Roblox.
Responsibilities
- Shape the architecture and design choices.
- Maintain our technology stack which includes react, node and more.
- API Schema Definition: Create and define the API schema for backend partners to implement.
- User Experience Advocacy: Advocate for user experience and design integrity.
- End-to-end development expertise (design, development, testing, maintenance, and performance).
- Best Practices: Informed opinions on design and code reviews.
- Familiarity with GraphQL API design and continuous integration/deployment (CI/CD).
- Informed opinions on design and code reviews.
Requirements
- 2+ years of experience in full stack engineering using React, Typescript and Node.
Skills
- Global leaders in technology, finance, healthcare, and biotech trust Bedrock Data to make data security operational.
- Learn more at bedrockdata.ai.
Compensation
- The estimated annual base salary range for this position is $150,000 to $230,000 USD, depending on experience, scope, and leveling determined during the interview process.
- In addition to base salary, this role may be eligible for equity compensation and benefits.
Benefits
- A vision for how frontend should be built and iterated, starting from scratch.
- In addition to base salary, this role may be eligible for equity compensation and benefits.
Company info
- As an engineer, you'd also play an entrepreneurial role here; you'll be working closely with our leaders outside engineering, and directly with customers, partners, and investors, as we grow our business and take our product from 0 → 1 → N.
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This listing is sourced directly from Bedrock Data's careers page and normalized into a canonical job model.