Lead Backend Architect Node.js, Cloud & AI
Tata Consultancy Services (TCS)
New York, NY, US
Onsite
2026-07-01
Announced salary
$100,000 - $140,000
Low
$111K
Median
$154K
High
$198K
Market in New York · BLS OEWS 2025
Estimated net pay
$6,193 - $8,281
/month · 26% withheld
after tax & contributions · Single, no dependents
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
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, a