Intelligent Automation Development Lead

Merkle; New Delhi; Sur place; INR 5 000 000 - 8 500 000; Plein temps

Résumé du poste

Merkle in Pune, India seeks an Enterprise Integration and Intelligent Automation Dev Lead with 8-12 years of experience to design, build, and lead scalable integration and AI-driven automation across enterprise systems. You will drive API-led, event-driven architectures, and mentor a team of integration developers, while ensuring secure, compliant workflows.

The role emphasizes low-code workflow development with n8n and Azure Logic Apps, integration patterns, and data pipelines to deliver

Qualifications

• Hands-on experience in enterprise integration and cloud-based workflow development.
• Proven ability to lead integration or platform engineering teams.
• Deep understanding of API-led architecture, event-driven systems, and data integration.
• Ability to translate business requirements into technical tasks and designs.
• Strong communication and stakeholder management skills.

Responsabilités

• Design, build, and lead scalable integration pipelines across systems and platforms.
• Develop API-led and event-driven integrations, using connectors and custom integrations.
• Lead secure workflow design and enterprise integration with best practices for auth and data governance.
• Guide low-code workflow development using n8n, Logic Apps, and other tools.
• Mentor teams of integration developers and API engineers.
• Collaborate with architecture, QA, DevOps, and business peers to ensure delivery.
• Implement data transformation pipelines and multi-tenant data separation.

Connaissances

Intelligent workflow automation

n8n (Node‑mation)

API orchestration

Microservices (Nest.js)

Azure cloud services

Kafka / messaging patterns

AI integration

NoSQL (MongoDB Atlas)

Outils

SnapLogic

Power BI

Description du poste

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 - Pune - Indiqube Orchid

Brand: Merkle

Time Type: Full time

Contract Type: Permanent