Remote Full-Stack Engineer: Frontend, AWS & Data

RevStar Consulting Inc

Arizona

Remote

USD 110,000 - 170,000

Full time

4 days ago
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Benefits offered by this job

Paid Time Off
Remote-First Working Environment
Health Coverage
401(k) Retirement Plan
Learning & Development Stipend
Mentorship & Coaching

Job summary

RevStar Consulting Inc. is seeking a Full Stack Forward Deployed Engineer to build enterprise-grade cloud apps with React frontends, Node.js backends, and AWS-backed data pipelines.

You will work in an agile, client-facing environment delivering production-grade software while upholding RevStar’s values of self-mastery, ownership, and shared destiny. The role emphasizes frontend architecture, secure API design, and scalable data workflows, with opportunities to collaborate across product,

Qualifications

  • 3–5+ years of professional full-stack engineering with JavaScript/TypeScript.
  • Deep expertise in ReactJS, Node.js, Express, RESTful APIs, and database design (SQL & NoSQL).
  • AWS cloud depth: building and deploying cloud-native apps on AWS (Lambda, API Gateway, ECS).

Responsibilities

  • Frontend architecture, UI delivery in ReactJS with modern JS/TS patterns.
  • Backend engineering and AWS integration with secure, scalable RESTful APIs and microservices.
  • Advanced search/data workflows using OpenSearch/Kendra and ETL pipelines.
  • Agile client delivery through collaboration with Product Managers, UX, and stakeholders.

Skills

ReactJS
Node.js
Express
REST APIs
SQL & NoSQL
AWS
Consulting Mindset

Job description

RevStar Consulting Inc. is seeking a Full Stack Forward Deployed Engineer to build enterprise-grade cloud apps with React frontends, Node.js backends, and AWS-backed data pipelines.

You will work in an agile, client-facing environment delivering production-grade software while upholding RevStar’s values of self-mastery, ownership, and shared destiny. The role emphasizes frontend architecture, secure API design, and scalable data workflows, with opportunities to collaborate across product,

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