
Jr. Fullstack Engineer
Job description
Our client is a healthcare company with a size of 51-200 employees, at Series A stage, founded in 2016.
About The Role
Develop a web platform for Fortune 500 R&D, split between frontend (React) and backend (Flask, SQL). Requires CS degree, JavaScript, SQL skills, in-person in SF/NY/London.
As a Full-Stack Engineer, you'll work on developing the company's primary web platform used by scientists and engineers at Fortune 500 companies to upload, analyze, and iterate on experimental data. The role is split between frontend and backend responsibilities. You'll build high-performance, data-centric user interfaces using React and JavaScript, while also contributing to the Flask backend and optimizing SQL database performance. This position is suited for engineers with a strong foundation in computer science who are eager to work in a customer-facing environment and contribute to a fast-paced product team transforming industrial R&D.
Requirements
- Bachelor's degree in Computer Science from specified universities
- 0-2 years of experience
- In-person work in San Francisco, New York, or London
Required Skills
- React
- JavaScript
- Flask
- SQL databases
- performance optimization
- solving medium to hard Leetcode-style problems
- English fluency
- professionalism with customers
Benefits
- Equity (small package)
- Health and dental insurance
- 401(k) with employer contribution
- Close mentorship and rapid growth opportunities
- Access to high-impact projects used by Fortune 500 R&D teams
- Work on cross-functional product experiences with real-world scientific data
Salary: 120000 - 160000 USDEquity: Equity, small package
Desired Skills and Experience
React, Flask, JavaScript, SQL databases, English fluency, performance optimization, professionalism with customers, solving medium to hard Leetcode-style problems
About the company
Job Location
Company Size
Our Story
Hire specialized roles 5x faster with AI. TechTree's recruiting agents automate the talent recruitment process from sourcing to interview scheduling. Our platform allows organisations to set up automated outreach to targeted lists of people by deploying agents that combine LLM-powered language and contextual skills with a hedge fund-like approach, leveraging a unique data set that integrates 100s of data points at a personal level. Our mission is to help professionals spend less time on routine tasks that can be better handled by automation, such as finding entities with specific criteria and conducting outreach.