Role -  Lead Backend Architect – Node.js, Cloud & AI

Experience Required -10+ Years

Must Have Technical/Functional Skills:

• 10+ years of experience in designing and building enterprise-scale, cloud-native backend systems and distributed architectures.

• Strong hands-on expertise in Node.js, JavaScript, and TypeScript (must-have), with working knowledge of Python and Go.

• Extensive experience developing microservices, REST/gRPC APIs, event-driven architectures, and scalable backend platforms.

• Strong expertise in AWS and/or GCP, Kubernetes, Docker, cloud-native architecture, and CI/CD pipelines.

• Experience with distributed messaging and streaming technologies such as Kafka, queues, and asynchronous processing.

• Proven experience designing highly available, secure, scalable, and resilient backend systems.

• Strong understanding of databases (SQL/NoSQL), caching, observability, logging, and performance optimization.

• Mandatory experience integrating Large Language Models (LLMs) into enterprise applications and backend platforms.

• Hands-on experience with Agentic AI frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI, or Semantic Kernel.

• Experience building Retrieval-Augmented Generation (RAG) pipelines, AI orchestration workflows, and LLM gateways.

• Working knowledge of PyTorch, Hugging Face ecosystem, embeddings, inference, and model evaluation.

• Strong understanding of AI governance, evaluation, safety, and responsible AI practices.

• Excellent architecture, technical leadership, stakeholder management, and mentoring skills.

• Required Technologies

o Languages: Node.js, JavaScript, TypeScript, Python, Go

o Cloud: AWS/GCP

o Containers: Kubernetes, Docker

o APIs: REST, gRPC

o Messaging: Kafka or equivalent

o AI Frameworks: LangGraph, LangChain, LlamaIndex, CrewAI, Semantic Kernel

o ML: Hugging Face, PyTorch

o DevOps: CI/CD, Terraform (preferred)

Roles & Responsibilities

• Lead the architecture, design, and implementation of scalable cloud-native backend platforms for Lounge Services.

• Design and develop high-performance microservices and APIs using Node.js/TypeScript on AWS/GCP.

• Define architecture standards for distributed systems, event-driven solutions, messaging, and cloud-native applications.

• Drive the adoption of AI capabilities by integrati ng LLMs and Agentic AI into enterprise backend services.

• Design and implement reusable AI platform components including orchestration, RAG pipelines, model gateways, and AI observability.

• Provide technical leadership across engineering teams, driving architecture reviews, engineering best practices, and technology decisions.

• Collaborate with Product, Engineering, Security, and Enterprise Architecture teams to deliver scalable and secure solutions.

• Mentor engineering teams and influence technical direction across multiple initiatives.

• Evaluate emerging backend, cloud, and AI technologies and recommend enterprise adoption where appropriate.

• Ensure solutions meet enterprise standards for scalability, reliability, security, performance, and operational excellence. 

Base Salary Range : $100,000 to $140,000 Per Annum

TCS Employee Benefits Summary:

Discretionary Annual Incentive.

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support: Maternal & Parental Leaves.

Insurance Options: Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.