Lead Backend Architect Node.js, Cloud & AI
Role details
Job location
Tech stack
Job description
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
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Lead the architecture, design, and implementation of scalable cloud-native backend platforms for Lounge Services.
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Design and develop high-performance microservices and APIs using Node.js/TypeScript on AWS/GCP.
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Define architecture standards for distributed systems, event-driven solutions, messaging, and cloud-native applications.
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Drive the adoption of AI capabilities by integrati ng LLMs and Agentic AI into enterprise backend services.
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Design and implement reusable AI platform components including orchestration, RAG pipelines, model gateways, and AI observability.
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Provide technical leadership across engineering teams, driving architecture reviews, engineering best practices, and technology decisions.
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Collaborate with Product, Engineering, Security, and Enterprise Architecture teams to deliver scalable and secure solutions.
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Mentor engineering teams and influence technical direction across multiple initiatives.
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Evaluate emerging backend, cloud, and AI technologies and recommend enterprise adoption where appropriate.
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Ensure solutions meet enterprise standards for scalability, reliability, security, performance, and operational excellence.
Requirements
Must Have Technical/Functional Skills:
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10+ years of experience in designing and building enterprise-scale, cloud-native backend systems and distributed architectures.
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Strong hands-on expertise in Node.js, JavaScript, and TypeScript (must-have), with working knowledge of Python and Go.
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Extensive experience developing microservices, REST/gRPC APIs, event-driven architectures, and scalable backend platforms.
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Strong expertise in AWS and/or GCP, Kubernetes, Docker, cloud-native architecture, and CI/CD pipelines.
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Experience with distributed messaging and streaming technologies such as Kafka, queues, and asynchronous processing.
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Proven experience designing highly available, secure, scalable, and resilient backend systems.
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Strong understanding of databases (SQL/NoSQL), caching, observability, logging, and performance optimization.
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Mandatory experience integrating Large Language Models (LLMs) into enterprise applications and backend platforms.
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Hands-on experience with Agentic AI frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI, or Semantic Kernel.
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Experience building Retrieval-Augmented Generation (RAG) pipelines, AI orchestration workflows, and LLM gateways.
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Working knowledge of PyTorch, Hugging Face ecosystem, embeddings, inference, and model evaluation.
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Strong understanding of AI governance, evaluation, safety, and responsible AI practices.
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Excellent architecture, technical leadership, stakeholder management, and mentoring skills.
Benefits & conditions
(part of Tata group) 3.93.9 out of 5 stars New York, NY $100,000 - $140,000 a year, Pulled from the full job description
- Pet insurance
- Health insurance
- Vision insurance
- Dental insurance
- Commuter assistance, 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.