Senior Technical Lead

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) environment.

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

Skill Requirements

Required Technical Skills

Must‑Have

• n8n

Strong experience building, deploying, and managing n8n workflows

• Custom nodes, API integrations, environment configuration

• Automation Engineering

Process automation, system orchestration, event-driven workflows

• AKS (Azure Kubernetes Service)

Kubernetes fundamentals, deployments, services, ingress, secrets

• Containerization

Docker, container lifecycle management

• Backend Development

Node.js and/or Python (API development, scripting, integrations)

• REST APIs & Webhooks

• CI/CD

Azure DevOps / GitHub Actions / similar pipelines

Good to Have

• Frontend Development

React or Angular:

• AI & ML Exposure

LLM integration (Azure OpenAI, OpenAI APIs, Lang Chain, etc.)

• Prompt engineering, AI workflow chaining

• Azure Services

Functions, Logic Apps, Service Bus, Storage, Key Vault

• Databases

SQL / NoSQL (PostgreSQL, MongoDB, Cosmos DB)

Other Requirements

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