Senior Cloud & Data Platform Architect - Scalable, Secure

Machine Intelligence Technologies, LLC

San Francisco, Northern (CA, KY)

Hybrid

USD 165,000 - 276,000

Full time

6 days ago
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Job summary

Machine Intelligence Technologies LLC seeks an experienced Cloud Architect to lead end-to-end architecture for high-traffic, customer-facing web apps. You will design scalable microservices on AWS, build SPAs with React.js, and model data on PostgreSQL with a focus on reliability and cost efficiency.

Lead architecture reviews, mentor engineers, and collaborate with product, DevOps, and security teams in a cloud-native environment. 24-month contract with extension possible.

Qualifications

  • Experience leading architecture for high-traffic, customer-facing web apps.
  • Design of microservices-based and event-driven architectures on AWS.
  • Proficiency with React.js SPAs and Node.js APIs.
  • Strong data modeling for OLTP/OLAP on PostgreSQL.
  • Ability to create architecture blueprints across layers and deployment topology.

Responsibilities

  • Lead end-to-end architecture for high-traffic, customer-facing web applications.
  • Design scalable microservices and event-driven architectures using Node.js, REST APIs, and GraphQL.
  • Architect SPAs with React.js focusing on modular components and performance.
  • Define relational and non-relational data models optimized for high-volume OLTP on PostgreSQL.
  • Create architecture blueprints covering application layers, data flows, integration, observability, and deployment topology.

Skills

Cloud Architecture
AWS
Node.js
React.js
GraphQL
PostgreSQL
Distributed Systems
Leadership

Tools

AWS
ECS/EKS
Lambda
RDS
PostgreSQL
Redis
CDN

Job description

Machine Intelligence Technologies LLC seeks an experienced Cloud Architect to lead end-to-end architecture for high-traffic, customer-facing web apps. You will design scalable microservices on AWS, build SPAs with React.js, and model data on PostgreSQL with a focus on reliability and cost efficiency.

Lead architecture reviews, mentor engineers, and collaborate with product, DevOps, and security teams in a cloud-native environment. 24-month contract with extension possible.

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