Amazon Web Services (AWS), Apache Kafka, Application Programming Interface (API), Artificial Intelligence (AI), Cloud Architecture, Cloud Computing, Continuous Deployment/Delivery, Continuous Integration, Docker, Enterprise Applications, GCP (Good Clinical Practices), JavaScript, Kernel Programming, Messaging Technology, Microservices, Modeling Languages, Node.js, Python Programming/Scripting Language, REST (Representational State Transfer), Streaming Technology, System Architecture, Team Player, Technical Leadership
Request ID: 98144-1
Title: Lead Backend Architect – Node.js, Cloud & AI
Locations: New York, NY- onsite
Duration: 6 Months
Pay Range: $45 - $50/Hour on W2/C2C (All inclusive)
Introduction
We are seeking a highly skilled and experienced professional to lead the architecture, design, and implementation of scalable cloud-native backend platforms. This role requires a strong technical leader with a deep understanding of Node.js, cloud technologies, and AI integration.
Required Skills & Qualifications
- 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, 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.
- Mandatory experience integrating Large Language Models (LLMs) into enterprise applications and backend platforms.
- Prior work experience at client or in client's Industry.
Applicants must be able to work directly for Artech on W2.
Preferred Skills & Qualifications
- Experience with distributed messaging and streaming technologies such as Kafka, queues, and asynchronous processing.
- 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.
Day-to-Day Responsibilities
- Lead the architecture, design, and implementation of scalable cloud-native backend platforms.
- Design and develop high-performance microservices and APIs using Node.js/TypeScript on AWS/GCP.
- Drive the adoption of AI capabilities by integrating LLMs and Agentic AI into enterprise backend services.
Company Benefits & Culture
- Collaborative and inclusive work environment.
- Opportunities for professional growth and development.
- Commitment to innovation and technology excellence.
For immediate consideration please click APPLY to begin the screening process with Alex.