Lead Backend Architect
- Fixity Technologies
10 Hours Ago
120000-140000 per Annum
Yearly
New York-NY
10-20 Years
Required Skills: Node.js, TypeScript, JavaScript, Cloud Architecture, Generative AI, Agentic AI
Job Description
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.
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)
