Lead Backend Architect Node.js, Cloud & AI

Tata Consultancy Services; New York (NY); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Comprehensive Medical Coverage

Maternal & Parental Leaves

Auto & Home Insurance

Commuter Benefits & Certification &amp

Job summary

Tata Consultancy Services in New York seeks a Lead Backend Architect specializing in Node.js, cloud, and AI to design scalable cloud-native backend systems, microservices, and secure APIs. The role demands 10+ years of enterprise experience and hands-on expertise with Node.js/TypeScript, AWS/GCP, Kubernetes, and AI integrations.

The candidate will lead architecture decisions, mentor teams, and drive AI capabilities across services, ensuring robust, scalable, and secure solutions for enterprise

Qualifications

• 10+ years of experience designing and building enterprise-scale, cloud-native backend systems.
• Strong hands-on expertise in Node.js, JavaScript, and TypeScript; Python and Go knowledge.
• Experience developing microservices, REST/gRPC APIs, and event-driven architectures.
• Expertise in AWS and/or GCP, Kubernetes, Docker, CI/CD pipelines.
• Experience with distributed messaging (Kafka) and asynchronous processing.
• Proven ability to design highly available, secure, scalable backend systems.
• Strong DB understanding (SQL/NoSQL), caching, observability, logging, performance.
• Mandatory experience integrating LLMs into enterprise apps and backend platforms.
• Hands-on experience with LangGraph, LangChain, LlamaIndex, CrewAI, Semantic Kernel.
• Experience building RAG pipelines and AI orchestration workflows.
• Knowledge of PyTorch, Hugging Face; embeddings, inference, model evaluation.
• Strong AI governance, safety, and responsible AI practices.

Responsibilities

• Lead the architecture, design, and implementation of scalable cloud-native backend platforms.
• Design and develop high-performance microservices and APIs using Node.js/TypeScript on AWS/GCP.
• Define architecture standards for distributed systems, event-driven solutions, and cloud-native apps.
• Drive adoption of AI by integrating LLMs and Agentic AI into enterprise backend services.
• Design reusable AI platform components including orchestration, RAG pipelines, model gateways, and observability.
• Provide technical leadership across engineering teams and enforce best practices.
• Collaborate with Product, Engineering, Security, and Enterprise Architecture teams to deliver scalable solutions.
• Mentor engineering teams and influence technical direction across initiatives.
• Evaluate emerging technologies and recommend enterprise adoption where appropriate.
• Ensure solutions meet enterprise standards for scalability, reliability, security, performance, and ops excellence.

Skills

Architectural design

Technical leadership

Stakeholder management

Mentoring

Communication

Problem solving

Team collaboration

Tools

Node.js

JavaScript

TypeScript

Python

Go

AWS

GCP

Kubernetes

Docker

REST

gRPC

Kafka

LangGraph

LangChain

LlamaIndex

CrewAI

Semantic Kernel

Hugging Face

PyTorch

Terraform

Job description

Job Description

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
• Languages: Node.js, JavaScript, TypeScript, Python, Go
• Cloud: AWS/GCP
• Containers: Kubernetes, Docker
• APIs: REST, gRPC
• Messaging: Kafka or equivalent
• AI Frameworks: LangGraph, LangChain, LlamaIndex, CrewAI, Semantic Kernel
• ML: Hugging Face, PyTorch
• 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.