Job Title:  T&T-EAID-Engineering-Senior Consultant | Full stack - React + Node / NestJS | Bengaluru |

The team 

Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.        

Your work profile

• Proficiency in Node.js for backend development and RESTful API design.
• Proficiency in front-end JavaScript frameworks (React, Vue.js, or equivalent).
• Strong expertise in microservices architecture and event-driven design patterns.
• Strong knowledge of cloud computing AWS or Azure including serverless and PaaS services.
• Experience with relational and NoSQL databases (PostgreSQL, MySQL, DynamoDB).
• Familiarity with event-driven architectures: Kafka, SNS/SQS, RabbitMQ.
• Exposure to ITSM automation within ServiceNow and Jira.

Key skills required:  

• 5 - 8 years of hands-on experience in full stack development and automation.
• Node.js for backend development and RESTful API design
• front-end JavaScript frameworks
• NoSQL databases (PostgreSQL, MySQL, DynamoDB).
• Kafka, SNS/SQS, RabbitMQ.

Add-On Advantage: Agentic AI

• Candidates who have experience in one or more of the following areas will stand out as strong fits for emerging AI-powered initiatives within the TEA team:
• Designing and deploying multi-agent AI workflows using frameworks such as Lang Graph, AutoGen, CrewAI, or similar.
• Integrating LLMs (OpenAI, Azure OpenAI, Anthropic Claude) into enterprise applications via API orchestration and prompt engineering.
• Building AI agents are capable of autonomous task execution, tool use, memory management, and human-in-the-loop escalation.
• Implementing Retrieval-Augmented Generation (RAG) pipelines and vector databases (Pinecone, Weaviate, pgvector) for contextual AI responses.
• Experience with MCP (Model Context Protocol) or similar tool-integration standards for extending AI capabilities.

Qualifications 

• Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field.