Remote Platform Engineer: AWS/K8s & AI-Native Infra

Agileengine; Buenos Aires; Remote; ARS 182,310,000 - 243,080,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

Exciting projects

Flextime

Job summary

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

Ideal candidates have hands-on experience with Python or TypeScript, AWS, Kubernetes, and AI-native tooling, plus strong communication and ownership.

Qualifications

• 3+ years of server development in Python or TypeScript.
• 1+ year API design with REST/gRPC.
• 1+ year AWS and Kubernetes experience with service mesh.
• 1+ year building advanced architectural components.
• 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, quick learner, and ownership mindset.

Responsibilities

• Design, build, and maintain scalable platform services to support growth.
• Measure, monitor, and optimize performance; identify bottlenecks.
• Manage cloud resources and service boundaries; ensure security and reliability.
• Implement best practices and tools to optimize development efficiency.
• Communicate with stakeholders including senior leadership on status and risks.

Skills

Python

TypeScript

API design

REST

gRPC

AWS

Kubernetes

Service Mesh (Istio/Linkerd/Cilium)

Distributed caching

LLMs / Prompt engineering

AIOps tooling

SDLC AI-native usage

Communication

Job description

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

Ideal candidates have hands-on experience with Python or TypeScript, AWS, Kubernetes, and AI-native tooling, plus strong communication and ownership.