Platform Engineer — AI-Driven Infra & Cloud (Remote)

Silver

Buenos Aires

Hybrid

ARS 181,747,000 - 272,620,000

Full time

38 hours ago
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Benefits offered by this job

Professional growth
Competitive USD-based compensation
A selection of exciting projects
Flextime

Job summary

AgileEngine is looking for a Platform Engineer to build and scale core infrastructure supporting rapid growth. You will design reliable platform services and manage AWS and Kubernetes resources, collaborating with engineering and data science teams to keep systems performant and secure.

This role emphasizes distributed architecture, AI-native tooling, and ownership. Flexibility to work from home and office with strong communication and a proactive mindset is valued.

Qualifications

  • 3+ years of server development in Python or TypeScript.
  • 1+ year API design and development using REST/gRPC.
  • 1+ year experience with AWS and Kubernetes.
  • Experience with service mesh technologies is a plus.
  • 6+ months working with LLMs, prompt engineering, or AIOps tooling.
  • 6+ months SDLC AI-native usage via Claude Code, Claude Cowork, or similar.

Responsibilities

  • Design, build, and maintain scalable platform services to support company growth.
  • Measure, monitor, and optimize system performance, identifying bottlenecks.
  • Manage cloud resources and service boundaries, ensuring security and reliability.
  • Implement best practices and tools to improve development efficiency.
  • Communicate project status, risks, and issues with stakeholders and leadership.

Skills

Python/TypeScript
API design (REST/gRPC)
AWS
Kubernetes
Service mesh (Istio/Linkerd/Cilium)
Distributed systems
LLMs / AI-native tooling
AI-native SDLC tooling
Communication / ownership

Tools

Istio
Linkerd
Cilium

Job description

AgileEngine is looking for a Platform Engineer to build and scale core infrastructure supporting rapid growth. You will design reliable platform services and manage AWS and Kubernetes resources, collaborating with engineering and data science teams to keep systems performant and secure.

This role emphasizes distributed architecture, AI-native tooling, and ownership. Flexibility to work from home and office with strong communication and a proactive mindset is valued.

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