Senior Technical Lead

Experience: Not Available to Not Available years

Location: Noida, India

Skills: n8n, AKS (Azure Kubernetes Service), Docker, Node.js, Python, .NET, React, Angular, REST APIs, webhooks, CI/CD, Azure DevOps, GitHub Actions, AI/ML services, Azure OpenAI, cognitive services, LLM APIs, SQL, NoSQL, PostgreSQL, MongoDB, Cosmos DB

Job Summary
Role Overview
We are seeking a highly skilled Automation Engineer (Full Stack) with strong experience in AKS-based architectures and n8n workflow automation. The ideal candidate will have hands-on expertise in building end‑to‑end automation solutions, integrating cloud-native services, and leveraging AI capabilities to enhance operational and business workflows. The role involves designing, developing, deploying, and supporting scalable automation platforms that integrate APIs, microservices, data systems, and AI models in a Kubernetes (AKS) workplace.

Key Responsibilities
Key Responsibilities
Automation & Workflow Engineering (Primary)
• Design, develop, and maintain automation workflows using n8n
• Build reusable workflow components, connectors, and custom nodes
• Automate business processes, data movement, system integrations, and operational tasks
• Monitor, troubleshoot, and optimize automation workflows for performance and reliability





Full‑Stack Development
• Develop and maintain backend services (Node.js / Python / .NET as applicable)
• Build and enhance frontend components (React / Angular preferred) for automation dashboards or admin tools
• Integrate REST APIs, webhooks, event-driven systems, and third-party platforms

Cloud & AKS Engineering
• Deploy and manage applications and automation services on Azure Kubernetes Service (AKS)
• Implement containerized solutions using Docker
• Configure CI/CD pipelines for automation and application deployments
• Ensure scalability, high availability, and secure access within AKS

AI & Intelligent Automation
• Integrate AI/ML services (e.g., Azure OpenAI, cognitive services, LLM APIs)
• Build AI‑powered automations such as:
• Intelligent data extraction
• Chatbot/workflow orchestration
• Decision automation using AI outputs
• Collaborate with data/AI teams to operationalize AI models into workflows

Operations & Support
• Perform production monitoring and troubleshooting of automation systems
• Handle incident resolution, root cause analysis, and preventive fixes
• Maintain technical documentation, runbooks, and workflow best practices

📌 Senior Technical Lead (Noida)
🏢 HCL Technologies
📍 Noida