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Lead Full Stack Engineer with React JS & Python

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Remote, Hybrid

Lead Full Stack Engineer with React JS & Python

CLOUDSCOUTS SOFTWARE SOLUTIONS LLC

Lead Full Stack Engineer with React JS & Python

Skills

DockerReactTypescriptDjangoFlaskPythonMicroservicesHTMLData AnalysisAIKubernetesFastAPIJavascript

1 month ago

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Important information


Contract type:

Permanent

Location:

Austin, TX, USA

Work mode:

Remote, Hybrid

Published on:

10 September 2026

What they need


Role: Lead Full Stack Engineer with React JS & Python
Location: Austin, TX (Onsite)

Exp. Level: 10+ Years

Role Purpose Owns frontend delivery for the forecasting, commitment-tracking financial applications and executive dashboard/reporting end-to-end — a single accountable owner across UI build and exec-facing narrative.

Key Responsibilities

  • Lead frontend architecture for the forecasting and commitment-tracking applications.
  • Build AI-assisted executive dashboards and drill-down UX for finance stakeholders.
  • Architect and develop responsive front-end applications using ReactJS.
  • Good working experience in developing and maintaining scalable backend systems and API-driven applications using Python (Django/FastAPI/Flask).
  • Own executive reporting delivery: dashboards, AI-drafted narrative and commentary, exec-ready framing.
  • Deliver within the Client's primary frontend stack; contribute to hardening prototype UI work into production.
  • Support post-transition delivery-metric reporting (cycle time, AI-generated code quality, defect trends) in dashboard form.

Must-Have

  • 10+ years of experience in Full Stack Development.
  • Strong hands-on experience with ReactJS, JavaScript, TypeScript, HTML5, CSS3.
  • Expertise in Python and backend frameworks such as Django, Flask, or FastAPI.
  • Experience in building and consuming RESTful APIs and microservices.
  • Hands-on experience with Git, CI/CD, Docker, and Kubernetes
  • Demonstrated experience owning both dashboard/UI delivery and executive reporting output.
  • Comfort owning frontend architecture decisions independently.

Nice-to-Have

  • Streamlit or data-visualization library experience.
  • Exposure to AI-assisted narrative generation (NLG) tools.
  • Prior work on financial or forecasting applications.

Interfaces With: Backend Developer; FinOps Analytics Engineer; AI Platform Architect.

Flexible work from home options available.

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