Senior Fullstack Engineer (Node.js, React, AI)
Experis Polska
⚲ Remote
30 240 - 35 280 PLN (B2B)
Wymagania
- Node.js
- Nest.js
- React
- TailwindCSS
- API
- Google Cloud Platform
- Cloud
- BigQuery
- CD pipeline
- Security
- Protocols
- SSO
- AI
Opis stanowiska
O projekcie: 100% remote B2B: 180-210 PLN/h netto + VAT What we offer: - 100% remote - Life insurance - Private healthcare - Multisport card - PowerYou – e-learning platform Opis Firmy Experis to światowy lider rekrutacji specjalistów i kadry zarządzającej w kluczowych obszarach IT. Z nami znajdziesz konkurencyjne oferty zatrudnienia oraz ciekawe projekty IT skierowane zarówno do ekspertów z wieloletnim doświadczeniem, jak i osób, które dopiero zaczynają swoją przygodę w branży IT. Oferujemy rekrutacje menedżerów i wysoko wykwalifikowanych konsultantów z doświadczeniem w branży IT. Experis jest częścią ManpowerGroup i został uznany za jedną z najbardziej etycznych firm na świecie. Wymagania: - 8+ years of professional software engineering experience with a focus on modern full stack development - Strong backend development skills using Node.js and NestJS - Proficiency in frontend technologies including React, TailwindCSS, and Zustand - Solid understanding of micro-frontend architecture, module federation, API design, and middleware - Hands-on experience with Google Cloud Platform (GCP), especially Cloud Run, BigQuery, and GCS - Familiarity with CI/CD pipeline setup and maintenance - Knowledge of security protocols including OAuth2, SSO, and authentication flows - Experience working with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) - Understanding of autonomous AI agents and agent-to-agent communication Codzienne zadania: - Build and evolve a backend-heavy full stack architecture for an AI-native enterprise SaaS product. - Design and deploy scalable services on Google Cloud Platform (GCP), including Cloud Run, BigQuery, and GCS. - Develop responsive and modular interfaces using React, TailwindCSS, and Zustand. - Implement micro-frontends, Module Federation, robust APIs, and secure authentication flows (OAuth2, SSO). - Work with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and autonomous AI agents to power intelligent workflows. - Ensure fault tolerance, observability, and performance through CI/CD pipelines and infrastructure automation. - Partner with product, design, and infrastructure teams to shape roadmap and delivery. - Foster a strong engineering culture and mentor junior developers.