← Serch more jobs

Full Stack Engineer

LinkedIn Onebridge Indianapolis, IN
Mid-Senior level Posted March 4, 2026 Job link
Thinking about this job
Not Met Priorities
What still needs stronger evidence
Requirements
  • Design and develop responsive, intuitive web applications using modern JavaScript/TypeScript frameworks such as React, Vue, or Angular.
  • Build backend services and RESTful APIs using Python (FastAPI, Flask, Django) or Node.js to support rich scientific workflows.
  • Integrate applications with federated data systems, distributed query engines (Trino, PostgreSQL, Snowflake), and external scientific platforms.
  • Full Stack Engineer | Skills & Experience
  • 5+ years of professional full stack development experience, delivering production web applications with strong user adoption.
  • Strong proficiency in JavaScript/TypeScript, including ES6+ features and modern frontend tooling (Webpack, Vite, npm/yarn).
  • Expert-level experience with at least one major frontend framework such as React (preferred), Vue, or Angular, with deep knowledge of HTML5, CSS3, and responsive UI design.
  • Strong backend development skills using Python or Node.js, including building well-structured RESTful APIs with frameworks like FastAPI, Flask, Django, or Express.js.
  • Solid working knowledge of SQL (PostgreSQL, MySQL) and familiarity with NoSQL databases for flexible data modeling.
  • Experience with CI/CD workflows, automated testing, and deploying applications on AWS services such as EC2, ECS, Lambda, and S3.
Preferred Skills
  • Expert-level experience with at least one major frontend framework such as React (preferred), Vue, or Angular, with deep knowledge of HTML5, CSS3, and responsive UI design.
  • Strong backend development skills using Python or Node.js, including building well-structured RESTful APIs with frameworks like FastAPI, Flask, Django, or Express.js.
  • Solid working knowledge of SQL (PostgreSQL, MySQL) and familiarity with NoSQL databases for flexible data modeling.
  • Experience with CI/CD workflows, automated testing, and deploying applications on AWS services such as EC2, ECS, Lambda, and S3.