Senior AI Platform Engineer - Remote

Corvera (Yc W26); Buenos Aires; Remote; ARS 231,811,000 - 324,535,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

Exciting projects

Flextime: remote and office options

Job summary

AgileEngine is seeking a Senior Platform Engineer to design, build, and scale core infrastructure that supports rapid company growth. You will manage AWS and Kubernetes resources, work with service mesh technologies, and apply AI-native tooling for performant, secure systems.

The role emphasizes distributed architecture, collaboration with senior leadership, and ownership of platform services and improvements across the development lifecycle.

Qualifications

• 4+ years server development in Python or TypeScript.
• 3+ years API design and development (REST/gRPC).
• 2+ years AWS and Kubernetes with service mesh (Istio/Linkerd/Cilium).
• 2+ years building architectural components (service registry, streaming, event bus, distributed caching, polyglot persistence).
• 6+ months experience with LLMs, prompt engineering, or AIOps tooling.
• 6+ months SDLC AI-native usage via Claude Code/C Claude Cowork or similar.
• Excellent communication skills, learn-on-the-fly mindset, ownership.

Responsibilities

• Design, build, and maintain scalable platform services to support 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 improve development efficiency.
• Communicate status, risks, and issues to senior leadership.

Skills

Python

TypeScript

API design

AWS

Kubernetes

Service Mesh

LLMs

AI-native tooling

Communication

Ownership

Tools

Istio

Linkerd

Cilium

Claude Code

Claude Cowork

Job description

AgileEngine is seeking a Senior Platform Engineer to design, build, and scale core infrastructure that supports rapid company growth. You will manage AWS and Kubernetes resources, work with service mesh technologies, and apply AI-native tooling for performant, secure systems.

The role emphasizes distributed architecture, collaboration with senior leadership, and ownership of platform services and improvements across the development lifecycle.