Platform Engineer: AI-Driven Cloud Infra & Scale

AgileEngine, LLC.; San Miguel de Tucumán; Híbrido; ARS 182.877.000 - 274.315.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime: work from home or office

Descripción de la vacante

AgileEngine, LLC. is seeking a Platform Engineer to design, build, and scale core infrastructure that supports rapid growth. You will manage cloud resources on AWS and Kubernetes, work with engineering and data science teams, and ensure security and scalability of platform services.

The role emphasizes distributed architecture, AI-native tooling, and collaboration with stakeholders. Strong Python/TypeScript server experience, API design, and cloud skills are required, with flexible work options.

Formación

• 3+ years of server development in Python or TypeScript.
• 1+ year API design with REST or gRPC.
• 1+ year AWS and Kubernetes experience, incl. Istio/Linkerd/Cilium.
• 1+ year building advanced architectural components (service registry, streaming, etc.).
• 6+ months of experience with LLMs, prompt engineering, or AIOps tooling.
• 6+ months of SDLC AI-native usage via Claude Code, Claude Cowork, or similar.
• Excellent communication, learning on the fly, and ownership.

Responsabilidades

• Design, build, and maintain scalable platform services to support company growth.
• Measure, monitor, and optimize system performance and bottlenecks.
• Manage cloud resources and service boundaries with security in mind.
• Implement best practices and tools to optimize development processes.
• Communicate status, risks, and issues to senior leadership.

Conocimientos

Excellent communication

Ownership

Fast learner

Herramientas

Python

TypeScript

REST API design

gRPC

AWS

Kubernetes

Istio/Linkerd/Cilium

Service mesh

LMMs / AI tooling

Claude Code / Claude Cowork

Descripción del empleo

AgileEngine, LLC. is seeking a Platform Engineer to design, build, and scale core infrastructure that supports rapid growth. You will manage cloud resources on AWS and Kubernetes, work with engineering and data science teams, and ensure security and scalability of platform services.

The role emphasizes distributed architecture, AI-native tooling, and collaboration with stakeholders. Strong Python/TypeScript server experience, API design, and cloud skills are required, with flexible work options.