AI-First Cloud Architect Lead (Remote, AWS)

Devconnectplatform; Argentina; Remote; ARS 230,602,000 - 322,843,000; Full time

Benefits offered by this job

Pay in USD

100% remote work

Generous holidays and flexible PTO

Phantom equity

Exams and certifications coverage

Job summary

Caylent is seeking an exceptional Principal Cloud Software Architect to lead AI-first, scalable cloud-native solutions in a fully remote setup. You will work with senior client leadership to translate requirements into robust architecture while guiding engineers and architects across major accounts.

You will own discovery, design decisions, and architectural governance, while mentoring teams, defining testing approaches, and advancing production-grade AI integrations in AWS environments.

Qualifications

• 8+ years of software development and cloud-native experience.
• Strong background in AWS and relational NoSQL databases.
• Proficient in Python, Node.js, TypeScript and frontend frameworks.
• Experience leading enterprise engagements with multi-stakeholder teams.

Responsibilities

• Lead software development teams to deliver AI-first, production-ready solutions.
• Own technical requirements gathering, architecture decisions, and backlog refinement.
• Run discovery with senior stakeholders to shape workable backlogs.
• Create architecture diagrams and defend designs to clients and engineers.
• Mentor engineers and drive AI-first testing and deployment practices.

Skills

AWS

Python

Node.js

TypeScript

React

Vue

PostgreSQL

MySQL

DynamoDB

Kubernetes

CI/CD

IaC

Terraform

Education

Degree in computing-related field

Tools

Docker

Kubernetes

CI/CD

IaC

Terraform

Job description

Caylent is seeking an exceptional Principal Cloud Software Architect to lead AI-first, scalable cloud-native solutions in a fully remote setup. You will work with senior client leadership to translate requirements into robust architecture while guiding engineers and architects across major accounts.

You will own discovery, design decisions, and architectural governance, while mentoring teams, defining testing approaches, and advancing production-grade AI integrations in AWS environments.