Enterprise Integration and Intelligent Automation Development Lead

About the role

The Enterprise Integration & Intelligent Automation Development Lead at Merkle designs, develops, and leads scalable integration solutions and AI-powered automation workflows across enterprise systems, marketing platforms, consumer data platforms, digital ecosystems, third-party partners, and AI model providers. Day-to-day work includes designing integration architectures, building low-code and custom API-led workflows, developing microservices with NestJS/TypeScript, integrating Azure OpenAI and AI models, mentoring developers, and driving secure, high-volume, multi-tenant data integration and automation delivery. The role is based in Bengaluru, India.

What you’ll do

• Design and implement robust, scalable, and secure enterprise integration solutions and pipelines using multiple integration platforms and services
• Lead tech design and development for integration workflows, orchestrating data and capabilities across multiple systems using APIs, pre-built connectors, and custom connectors
• Develop and manage API-led and event-driven integrations and automations across systems, applications, and platforms
• Develop and optimize data transformation pipelines and data integration workflows
• Lead and build end-to-end system integrations, data workflows, and platform integration workflows independently
• Lead and mentor a team of integration developers, workflow developers, and API developers, ensuring adherence to coding standards and best practices
• Translate business requirements into clear technical specifications and actionable development tasks
• Drive solution design discussions and act as a technical SME for integration and automation initiatives

What you’ll bring

• Strong hands-on experience in enterprise integration and cloud-based integration workflow development
• Proven experience leading integration or platform engineering teams
• Deep understanding of enterprise integration patterns, API-led architecture, and event-driven systems
• Solid foundation in integration workflows using low-code workflow builder tools including n8n (Node-mation) and Azure Logic Apps
• Strong experience in n8n workflows, including pre-built and custom connector development and building AI-driven workflows within n8n
• Ability to develop scalable microservices using server-side Node.js frameworks such as NestJS and TypeScript
• Experience with Azure cloud services including Azure Cosmos DB, Azure Blob Storage, and Service Bus
• Experience integrating AI and Gen-AI capabilities within integration workflows, including Azure OpenAI LLM, Vision, and Multi Modal models

Skills