Bedrock Data

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.

This listing is sourced directly from Bedrock Data's careers page and normalized into a canonical job model.