Intelligent Automation Development Lead

• Job Description:

Job title: Enterprise Integration and Intelligent Automation Dev Lead

Experience: 8-12 Years

Location: Bengaluru, Pun, Mumbai

Role Purpose

The

Enterprise Integration and Intelligent Automation

(EI / IA) Development Lead will be responsible for designing, developing, and leading 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. This role combines deep technical expertise in Enterprise Integration Workflows and scaled API-driven systems Integration, with leadership in modern integration patterns, low-code workflow app dev platforms, iPaaS systems (integration platform-as-a-service solutions), data transformation and data integration workflows, and AI-powered intelligent automation.

Key Responsibilities

Integration Architecture, Technical Design, & Integration Workflow Development

• 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.

• Strong experience in designing and building workflows for very high volumes and scaled usage, also applying principles and best practices of multi-tenancy and client data separation

Technical Leadership

• 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.

• Drive

secure workflow design

and

secure enterprise integration

across systems, implementing best practices for authentication, token validation, authorization, and role-based access

Modern Integration & Intelligent Automation

• Solid foundation in integration workflows and workflow development, using Low-Code Workflow Builder tools including n8n (Node-mation), Azure Logic Apps, and others.

• Strong experience in n8n (Node-mation) workflows, including usage of pre-built connectors and custom connector development, and building AI-driven workflows within N8N
• Lead development across system and data integrations using

low-code/no-code workflows, enhanced with custom connectors for deep bespoke integration into proprietary enterprise platforms and services

• Enable

intelligent automation solutions by integrating AI and Gen-AI capabilities within integration workflows

, including

Azure OpenAI LLM models, Vision Models and Multi Modal models

.

• Process and Automate Consumer and Audience Data

, using AI services and AI models, unlocking the value of core data assets for use within AI-driven workflows to drive use cases such as Audience Intelligence, Audience Personalization, etc.

Micro Services, GraphQL + Federated Graph, and API Engineering

• Develop

scalable micro services to enable Enterprise Integration

using server-side Node.js

frameworks such as NEST.js and Typescript code.

• Integrate proprietary REST APIs, enterprise services, and third-party platforms all together, within a single integration / orchestration layer

• Leverage GraphQL within a Federated Graph pattern, deploy custom Sub-Graphs within the Fed Graph, and route queries/mutations through the Router across the various Sub-Graphs
• Design and develop

REST/GraphQL APIs and schemas

.

• Manage

API lifecycle and governance

, including performance, scalability, and versioning.

• Work with

NoSQL databases

such as

MongoDB Atlas, and Azure Cosmos DB

for high-performance data handling.

• Build integrations leveraging

message queues, topics, and messaging patterns

(e.g., Kafka, and/or Azure Service Bus).

Collaboration & Delivery

• Collaborate with

Architecture, Engineering Leads, QA/QE, DevOps, and business teams

to ensure seamless delivery.

• Participate in

Agile development methodologies

, including sprint planning, reviews, and retrospectives.

• Ensure high-quality delivery through

code reviews, testing, and documentation standards

.

Governance, Quality & Risk Management

• Enforce best practices for

integration design, logging, monitoring, and resiliency (retry/recovery mechanisms)

.

• Identify delivery risks proactively and define mitigation strategies.
• Ensure compliance with enterprise security and data governance standards.

Primary Skills & Expertise (ALL are MUST-HAVE)

• Intelligent Workflow Automation (Critical)

– n8n (Node-mation) / Node-based automation tools, Azure Logic Apps, Data Integration and Systems Integration.

• API orchestration & Enterprise Integration

– Orchestration across REST APIs, GraphQL and Federated Graph, Bespoke API design & development

• Microservices Development

– Nest.JS, TypeScript, Node.js , Server-side JavaScript Dev

• Azure Cloud Services Expertise

– Azure Cosmos DB, Azure Blob Storage, Service Bus

• Messaging Frameworks

– Kafka, Message Queues,

messaging patterns (queues, topics), etc.

• AI Integration

– Azure OpenAI, AI models, and intelligent automation frameworks

• Data Pipelines

– Data workflows, transformations, and processing

• Knowledge of

NoSQL databases (MongoDB Atlas)

Secondary / Good-to-Have Skills

• Experience with

Agentic AI Workflows

and Agent integration patterns

• Experience with

Agent Dev Frameworks for intelligent automation

• Experience with

Snaplogic or any other iPaaS platforms

• Experience with Data Visualization toolsets (Power BI, Tableau, etc.)
• Exposure to

Azure Document Intelligence / Intelligent Document Processing / Document Automation workflows powered by AI

• Experience with Microsoft Power Platform including Power Automate, Power Apps, etc.
• API Testing tools such as

Postman, SoapUI

Experience & Qualifications

• 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

• Ability to work

independently, drive initiatives, and solve complex problems

• Strong communication and stakeholder management skills

Key Role Dimensions

• Enterprise Integration Dev Lead

• Low-Code Workflow & Automation Lead

• Intelligent Automation (AI + Automation) Lead

• Data Integration & Audience Processing Lead

• Location:

DGS India - Bengaluru - Manyata N1 Block

• Brand:

Merkle

• Time Type:

Full time

• Contract Type:

Permanent