Front End Developer

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DruIT Szolgáltató Zrt.
Munkavégzés helye

Budapest
Profession Prémium

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Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
Elvárt technológiák
- REACT BACKEND NETWORK JAVASCRIPT NODE.JS GIT API DEBUGGING
Elvárások
- Angol középfok
- Nem kell tapasztalat
- Középiskola

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

A hirdetés adatait sikeresen elküldte az email címére.

Responsibilities

Building and maintaining user-facing features in a Next.js and React application written in strict-mode TypeScript
Creating responsive, accessible interfaces with Chakra UI, including custom theming and component overrides
Developing data-rich views and grids using TanStack Table
Connecting the UI to the backend through gRPC-Web and generated Protobuf clients, which power more than 200 data hooks across the app
Managing server state with TanStack Query and client state with Zustand, keeping data fresh, cached, and predictable
Validating data and forms with Zod schemas
Writing and maintaining end-to-end tests with Playwright to keep critical user flows reliable
Taking part in pull-request code reviews, giving and receiving thoughtful feedback
Debugging issues across the browser, network, and component layers

Requirements

Strong working knowledge of JavaScript and TypeScript, including strict mode
Solid React skills: hooks, component composition, and building forms
Experience working with Node.js
Hands-on experience with at least one component library, such as Chakra UI, MUI, or Ant Design
Comfort with Git and a pull-request-based code review workflow
Confident browser debugging using the console, network tab, and React DevTools

Nice-to-have

Experience with Next.js specifics such as routing and server-side rendering
Experience with Chakra UI's API
Experience with TanStack Query
Experience with Zustand
Experience with gRPC-Web and Protobuf-generated clients
Experience with Zod
Experience with Playwright

Company info

Our partner is a cybersecurity company that builds AI models to plan and carry out attacks against real security controls. Its platform applies offensive techniques to live infrastructure, evaluates the results, and adapts in real time. The team uses those findings to advise security teams on which defenses work and how to put them into practice. The platform is already in use by a growing number of customers.