Lead Full Stack & System Administrator

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Lead Full Stack & System Administrator

Zero Carbon One

₹40,00,000–₹70,00,000 / Year

Location

Gurugram, Noida Office

Experience

Posted

Jul 11, 2026

Apply by

July 31, 2027

Applicants

1

Early applicantEasy applyFull-timeWork from Officeengineering

Job Description

Lead Full Stack & System Administrator role focused on enterprise-grade cloud platforms, AI integration, and secure, scalable systems. Responsibilities include designing and managing multi-tenant SaaS architectures, integrating ERP systems via APIs, and overseeing full stack development with Node.js and React/Next.js, along with cloud deployment and DevOps practices.

Key Responsibilities

  • Lead design and development of enterprise-grade cloud platforms
  • Oversee full stack development with Node.js and React/Next.js
  • Architect multi-tenant SaaS solutions with robust security
  • Integrate SAP ERP and other enterprise systems via APIs and middleware
  • Implement AI-driven data extraction and automation workflows
  • Manage cloud infrastructure, deployment, and DevOps pipelines
  • Ensure RBAC, data protection, and access controls across systems
  • Collaborate with cross-functional teams to deliver scalable solutions

Requirements

  • Minimum 4+ years of relevant industry experience
  • Hands-on experience with AI tools and Agentic AI agents
  • Experience integrating SAP ERP (ECC/S/4HANA) via APIs and middleware
  • Automated data extraction from PDFs and enterprise documents using AI
  • Strong experience with MongoDB and multiple database architectures
  • RBAC for enterprise applications
  • Multi-tenant cloud architecture and SaaS platform design
  • Full Stack development with Node.js and React/Next.js
  • Cloud deployment and DevOps
  • Data security, encryption, authentication, and access control
  • Building secure, scalable, high-availability enterprise systems

Skills Required

ReactAgentic AIData SecuritySAP ERP IntegrationdevopsNext.jsRBACMulti-tenant SaasCloud InfrastructureAI Data ExtractionNode.jsMongoDB

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