Lead Backend Architect – Node.js, Cloud & AI || New York, NY (Onsite)

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

Location: New York, NY (Onsite)

Duration: Long Term Contract

12-14+ Years

“12+ 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)”

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 integrating 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.

Node.js, Cloud & AI

Role Descriptions:

Technical/Functional Skills 12+ 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 TechnologiesoLanguages: Node.js| JavaScript| TypeScript| Python| GooCloud: AWS/GCPoContainers: Kubernetes| DockeroAPIs: REST| gRPCoMessaging: Kafka or equivalentoAI Frameworks: LangGraph| LangChain| LlamaIndex| CrewAI| Semantic KerneloML: Hugging Face| PyTorchoDevOps: 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 integrating 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.