Lead Backend Architect
- Fixity Technologies
3 Days Ago
NA
Yearly
New York-NY
10-15 Years
Required Skills: Node.js, JavaScript, TypeScript, Microservices, REST APIs, gRPC APIs, AWS, Kubernetes, Docker, KAfka, SQL, NoSQL, LLMs, LangGraph, LangChain, LlamaIndex, CrewAI, Semantic Kernel, RAG pipelines, PyTorch, CI/CD
Job Description
· 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.
Skills Required:
· 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 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.
