Software Engineer, Fullstack

Harell Data Corp

  • Bellevue, Washington
  • 30+ days ago
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    Skills

    • Amazon Web Services (AWS)unmatched
    • Application Programming Interface (API)unmatched
    • Data Modelingunmatched
    • Data Setsunmatched
    • GCP (Good Clinical Practices)unmatched
    • Go Programming Language (Golang)unmatched
    • Internet Applicationunmatched
    • Node.jsunmatched
    • Production Systemsunmatched
    • Python Programming/Scripting Languageunmatched
    • Rapid Prototypingunmatched
    • Software Engineeringunmatched
    • Standards Developmentunmatched
    • User Interface/Experience (UI/UX)unmatched

    Description

    About the Role

    As a Founding Fullstack Engineer, you will report directly to the CTO and lead the development of our user-facing product. This is a high-impact role where you will hold a significant ownership stake in the company and lead the 0-to-1 build of our platform. You will work closely with our customers to translate their needs into a world-class product, while simultaneously shaping our engineering culture and technical direction from the ground up.

    What You Will Do

    • Build the Core Product: Own the end-to-end delivery of our user-facing platform, turning complex requirements into a clear, functional product-from UI components to the APIs and data models that support them.
    • Architect for Scale: Design and implement a scalable frontend architecture capable of handling high-performance visualizations and massive datasets.
    • Rapid Prototyping & Iteration: Build and refine new ideas quickly, maintaining a high bar for code quality, system performance, and UI/UX consistency.
    • Define Engineering Culture: As a founding hire, directly influence the team’s technical standards, development workflows, and hiring processes.

    Qualifications

    • 5+ years of experience building production backend services (Python, Go, or Node.js) and APIs
    • 2+ years of experience building web applications with React and TypeScript
    • Experience with AWS or GCP in production environments
    • Strong CS fundamentals and ability to make pragmatic system design tradeoffs
    • Demonstrated ability to own features end-to-end, from scoping through deployment
    • Ability to thrive in fast-paced, dynamic environments and navigate ambiguity.
    • Bonus: Experience with ML pipelines, LLM fine-tuning, or data platform infrastructure

    Numbers & Facts

    LocationBellevue, Washington

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