Platform Engineer: Scale AI-Ready Infra (Remote/Flextime)

AgileEngine, LLC.; Santiago del Estero; Híbrido; ARS 138 361 000 - 215 229 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Professional growth

USD-based pay

Exciting projects

Flextime

Resumo da oferta

AgileEngine, LLC. in Argentina is seeking a Platform Engineer to design, build, and scale core infrastructure, focusing on AWS and Kubernetes, API design, and secure, high-performance services.

You will collaborate with engineering and data science teams, apply AI-native tooling, and own platform components with a strong emphasis on reliability, observability, and clear communication.

Qualificações

• 3+ years of server development in Python or TypeScript.
• 1+ year of API design and development using REST/gRPC.
• 1+ year of AWS and Kubernetes experience, including Service Mesh technologies.
• 1+ year building architectural components like service registry, streaming, event bus, distributed caching, polyglot persistence.
• 6+ months of experience with LLMs, prompt engineering, AIOps tooling.
• 6+ months of SDLC AI-native usage (Claude Code, Claude Cowork).
• Excellent communication skills and ownership mindset.
• Upper-intermediate English level.

Responsabilidades

• Design, build, and maintain scalable platform services for growth.
• Measure, monitor, and optimize system performance; address bottlenecks.
• Manage cloud resources and ensure security and operational excellence.
• Implement best practices and tooling to improve development efficiency.
• Communicate project status, risks, and issues to leadership.

Conhecimentos

Python/TypeScript

API design (REST/gRPC)

AWS & Kubernetes

Service mesh (Istio/Linkerd/Cilium)

Distributed systems

AI/LLM tooling

SDLC AI-native tools

Communication & ownership

English (upper-intermediate)

Ferramentas

AWS

Kubernetes

Service Mesh (Istio/Linkerd/Cilium)

Descrição da oferta de emprego

AgileEngine, LLC. in Argentina is seeking a Platform Engineer to design, build, and scale core infrastructure, focusing on AWS and Kubernetes, API design, and secure, high-performance services.

You will collaborate with engineering and data science teams, apply AI-native tooling, and own platform components with a strong emphasis on reliability, observability, and clear communication.