Senior Full-Stack Engineer – AI Visualization & Cloud

BioRender

San Francisco (CA)

On-site

USD 140,000 - 190,000

Full time

7 days ago
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Job summary

BioRender is seeking a senior full-stack engineer to own and improve components across the frontend and backend of a graphics-heavy web application. You will collaborate with product, design, and engineering teams to deliver intuitive scientific visualizations and AI-enabled features.

The role requires 5–7+ years of full-stack experience, proficiency in React and Node.js/Express.js, and AWS. Experience with MongoDB and NoSQL is beneficial, along with Datadog, Terraform, and enterprise systems.

Qualifications

  • 5–7+ years of full-stack experience
  • Proficiency with modern JavaScript frameworks (React) and Node.js/Express.js
  • Experience with AWS and NoSQL databases such as MongoDB
  • Ability to own features from concept to production
  • Comfort with ambiguity and collaboration across teams

Responsibilities

  • Own and improve key components across frontend and backend systems
  • Collaborate with product, design, and engineering to build intuitive scientific visualizations and AI-enabled products
  • Deliver secure, scalable, maintainable features and optimize a graphics-heavy web application
  • Contribute to engineering practices and team effectiveness

Skills

JavaScript
React
Node.js
Express.js
AWS
MongoDB
Full-Stack Development
Cloud Infrastructure
Terraform
AI Tools
User Interface Development
Performance Optimization
Distributed Systems
Observability
Datadog

Tools

Terraform
Datadog
MongoDB

Job description

BioRender is seeking a senior full-stack engineer to own and improve components across the frontend and backend of a graphics-heavy web application. You will collaborate with product, design, and engineering teams to deliver intuitive scientific visualizations and AI-enabled features.

The role requires 5–7+ years of full-stack experience, proficiency in React and Node.js/Express.js, and AWS. Experience with MongoDB and NoSQL is beneficial, along with Datadog, Terraform, and enterprise systems.

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