Platform Engineer: Scalable Cloud Infra & AI Tools

Agileengine, Llc.; Quilmes; Hybrid; ARS 185,819,000 - 278,728,000; Full time

Benefits offered by this job

Professional growth

Competitive pay

Exciting projects

Flextime

Job summary

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

The role emphasizes distributed architecture, AI-native tooling, and ownership. You'll design scalable services, monitor performance, ensure security, and communicate status to

Qualifications

• 3+ years of server development in Python or TypeScript.
• 1+ year API design and development using REST/gRPC.
• 1+ year AWS and Kubernetes experience, including service mesh technologies such as Istio/Linkerd/Cilium.
• 1+ year building advanced architectural components (service registry, streaming, event bus, distributed caching, etc).
• 6+ months experience 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, identify bottlenecks and implement infra-level improvements.
• Manage cloud resources and service boundaries, ensuring security and operational excellence.
• Implement best practices, methodologies, and tools to optimize the development process and increase efficiency.
• Communicate effectively with stakeholders, including senior leadership, to provide project status, risks, and issues.

Skills

Python

TypeScript

Tools

AWS

Kubernetes

Istio

Linkerd

Cilium

Job description

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

The role emphasizes distributed architecture, AI-native tooling, and ownership. You'll design scalable services, monitor performance, ensure security, and communicate status to