企业集成与智能自动化开发负责人

职位说明

The purpose of this role is to provide technical guidance and suggest improvements in development processes. Develop required software features, achieving timely delivery in compliance with the performance and quality standards of the company.

Role Purpose

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

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

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

solution design discussions

and act as a technical SME for integration and automation initiatives.

secure workflow design

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

Agent Dev Frameworks for intelligent automation

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

Bengaluru

Merkle

Time Type

Full time

Contract Type

Permanent