Capgemini

Lead Full Stack Engineer

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SeniorOn-site·KatowiceFull-time

#460642·Dodano 19 dni temu·4

Źródło: Capgemini

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Tech Stack / Keywords

React Node.js NestJS GCP Tailwind CSS Java .NET LLMsRAGMCP

Podsumowanie oferty

As a Lead Full Stack Engineer, you will lead development of Neo, Capgemini’s internal AI platform for employees. You will build and scale its full-stack and AI capabilities using React, Node.js, and GCP, while contributing to product direction and architecture.

Wymagania

Strong full-stack engineering expertise and hands-on experience with React, Tailwind CSS, Node.js/NestJS, and cloud platforms such as GCP, AWS, or Azure.
Solid backend and integration experience, including Java and/or .NET, API development, middleware architecture, and building high-performing, scalable connections between front-end and back-end systems.
Proven technical leadership capabilities, including experience mentoring or leading engineers and a desire to help build teams, shape engineering culture, and drive technology initiatives.
Strategic and innovative mindset, combining hands-on software development with architectural thinking, curiosity for emerging technologies, and the ability to balance execution with long-term vision.
Experience with modern AI and enterprise technologies, including AI agents, MCP, Agent-to-Agent frameworks, LLMs, RAG architectures, conversational interfaces, and authentication protocols (OAuth2, SAML, OpenID Connect, SSO).

Nice to have:

Exposure to solution architecture, networking, UX/product design, or zero-to-one product development.

Obowiązki

Drive end-to-end product development with Product, Design, and Engineering leadership, defining MVPs, rapidly prototyping solutions, and evolving the AI platform into a scalable product experience.
Lead full-stack engineering initiatives across front end, backend, cloud infrastructure, and AI-powered user experiences using React, Node.js, GCP, Tailwind CSS, Micro-Frontends, Nx, Jest, and Cypress.
Design and develop AI-centric platform capabilities, including custom middleware, backend services, session management, prompt orchestration, permissions models, data workflows, integrations, connectors, agents, and workflow automation.
Contribute to architectural decisions, DevOps practices, infrastructure strategy, and platform growth while promoting ownership, autonomy, technical quality, and innovation.
Make informed decisions with incomplete information and bring curiosity, creativity, and a continuous experimentation mindset to keep the organization at the forefront of AI technologies.

Benefity

Opportunity to influence strategy, product direction, and innovation.
Continuous learning, experimentation, and personal growth.

Inne informacje

Identity verification through inspection of an ID card will be conducted as part of the recruitment process; background checks may be carried out as required.

Capgemini

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