Senior Front End Developer - FSD

**Presently we are unable to sponsor and request applicants to apply who are authorized to work without sponsorship**

Full Stack Developer (Frontend-Focused)

Location:

Jersey City, New Jersey – Onsite

About the Role

We’re looking for a Full Stack Developer with a strong frontend focus to join our Engineering team in New Jersey. You’ll build and improve the Cloud Health product, which gives customers visibility into the health of their private and public cloud environments. The role is roughly

60% frontend and 40% backend

: most of your time goes to building polished, performant React interfaces, with the rest spent on the Java services behind them. You’ll also help bring AI agents and agent-driven workflows into the product.

Responsibilities

• Design, build, and maintain responsive, high-quality user interfaces in React and TypeScript
• Build and evolve micro frontends (MFEs) and shared UI components documented in Storybook
• Develop and enhance backend services and APIs in Java
• Work with SQL databases, including schema design, queries, and performance tuning
• Create and manage AI agents and AI workflows, and integrate them into the product
• Connect agents to tools and data sources using MCP, and design multi-agent solutions
• Write unit and end-to-end tests with Jest and Cypress
• Collaborate with product managers, designers, and engineers in an Agile team
• Take part in code reviews, sprint planning, and retrospectives
• Write clean, testable, maintainable code and help raise engineering standards

Required Skills

• Strong, hands-on experience with

React

, including hooks, state management, component design, and performance optimization

• Solid working knowledge of

micro frontends (MFEs)

• Proficiency in

TypeScript

,

HTML

, and the

DOM

• Experience with

Jest

for unit testing and

Cypress

for end-to-end testing

• Experience building and documenting components with

Storybook

• Solid experience with

Java

for backend development

• Proficiency in

SQL

• Experience creating and managing

AI agents and AI workflows

• Experience with agent connectivity using

MCP (Model Context Protocol)

• Working knowledge of

Agile

methodologies (Scrum/Kanban)

• Strong communication and collaboration skills

Nice to Have

• Experience with

AWS

services

• Experience with cloud monitoring, observability, or cloud management products
• Familiarity with CI/CD pipelines
• Background in enterprise or SaaS product development

Interview Process

1. Initial screening round

2. Coding test (1 hour)

3. Question-based technical interviews (3 interviews in total)