Platform Engineer: Scale Core Infra & AI-Native Ops

Nortal; Ciudad de Mendoza; Hybrid; ARS 181,747,000 - 242,329,000; Full time

Benefits offered by this job

Professional growth

USD-based compensation

Exciting projects

Flextime with remote/office options

Job summary

AgileEngine is seeking a Platform Engineer to build and scale core infrastructure that supports rapid company growth. You will design reliable platform services, manage AWS and Kubernetes resources, and collaborate with engineering and data science teams to keep systems performant and secure.

The role emphasizes distributed architecture, AI-native tooling, and ownership. Excellent communication is required, with upper-intermediate English, and a flexible schedule with remote and office options.

Qualifications

• 3+ years of server development in Python or TypeScript.
• 1+ year of API design with REST/gRPC.
• 1+ year of AWS and Kubernetes experience.
• 1+ year building advanced architectural components.
• 6+ months experience with LLMs or AIOps tooling.
• 6+ months of AI-native SDLC usage (Claude).
• Strong communication and learning agility.
• Upper-intermediate English level.

Responsibilities

• Design, build, and maintain scalable platform services to support company growth.
• Monitor, optimize system performance and reduce bottlenecks.
• Manage cloud resources and service boundaries with security in mind.
• Implement best practices to improve development efficiency.
• Communicate progress, risks, and issues to senior leadership.

Skills

Python

TypeScript

API design REST/gRPC

AWS

Kubernetes

Service Mesh (Istio/Linkerd/Cilium)

Distributed architecture

LLMs / AI tooling

SDLC AI-native (Claude)

English communication

Job description

AgileEngine is seeking a Platform Engineer to build and scale core infrastructure that supports rapid company growth. You will design reliable platform services, manage AWS and Kubernetes resources, and collaborate with engineering and data science teams to keep systems performant and secure.

The role emphasizes distributed architecture, AI-native tooling, and ownership. Excellent communication is required, with upper-intermediate English, and a flexible schedule with remote and office options.