Lead Backend Architect - Cloud AI & LLM Microservices

Realign Llc

Phoenix (AZ)

On-site

USD 180,000 - 240,000

Full time

25 hours ago
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Job summary

Realign Llc in Phoenix, AZ seeks a Lead Backend Architect to design and scale cloud-native backends using Node.js/TypeScript, AWS and GCP.

You will lead microservices, APIs, data pipelines, and mentor engineering teams while driving AI integrations such as LLMs, RAG pipelines, and AI observability.

Strong governance, security, and performance focus will guide architecture decisions and collaboration with product and security teams.

Qualifications

  • 10+ years designing enterprise backend systems and architectures.
  • Deep experience with microservices, REST/gRPC APIs, and event-driven patterns.
  • Strong cloud expertise (AWS and/or GCP) and containerized deployments.
  • Proven ability to integrate LLMs into enterprise platforms and AI workflows.
  • Leadership and mentoring across engineering teams.

Responsibilities

  • Lead architecture and implementation of scalable cloud-native backends for Lounge Services.
  • Design high-performance microservices and APIs using Node.js/TypeScript on AWS/GCP.
  • Define standards for distributed systems, event-driven solutions, and cloud-native apps.
  • Drive AI capability adoption by integrating LLMs, RAG pipelines, and AI gateways.
  • Create reusable AI platform components including orchestration and observability.
  • Provide technical leadership, reviews, and best-practice guidance across teams.

Skills

Backend Architecture
Microservices
AWS
GCP
Kubernetes
Docker
LLM Integration
RAG Pipelines
LangGraph LangChain
AI Governance

Tools

Terraform
REST/gRPC APIs
Kafka

Job description

Realign Llc in Phoenix, AZ seeks a Lead Backend Architect to design and scale cloud-native backends using Node.js/TypeScript, AWS and GCP.

You will lead microservices, APIs, data pipelines, and mentor engineering teams while driving AI integrations such as LLMs, RAG pipelines, and AI observability.

Strong governance, security, and performance focus will guide architecture decisions and collaboration with product and security teams.

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