Senior Platform Engineer - Cloud & AI Infra (Remote/Flex)

AgileEngine, LLC.; Argentina; Híbrido; ARS 184.482.000 - 276.723.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based pay

Exciting projects

Flextime: remote and office options

Descripción de la vacante

AgileEngine is seeking a Senior Platform Engineer to design and scale core infrastructure supporting rapid company growth. You will build reliable services, manage AWS and Kubernetes resources, and work with service mesh technologies to keep systems secure and performant.

Strong experience in distributed architectures and AI-native development tooling is desired, along with excellent communication and ownership mindset.

Formación

• 4+ years server development in Python or TypeScript.
• 3+ years API design and REST/gRPC.
• 2+ years AWS and Kubernetes with service mesh experience.
• 2+ years building advanced architectural components (service registry, streaming, caching, polyglot persistence).
• 6+ months with LLMs, prompt engineering, or AIOps tooling.
• 6+ months SDLC AI-native usage via Claude Code, Claude Cowork.
• Excellent communication skills and ownership mindset.
• Upper-intermediate English level.

Responsabilidades

• Design, build, and maintain scalable platform services to support company growth.
• Measure, monitor, and optimize system performance.
• Manage cloud resources and service boundaries securely.
• Implement best practices to optimize development processes.
• Communicate updates to stakeholders and leadership.

Conocimientos

Python/TypeScript development

API design (REST/gRPC)

AWS & Kubernetes

Service mesh (Istio/Linkerd/Cilium)

Distributed architecture / microservic

AI-native tooling / LLMs

Claude Code / Claude Cowork usage

English communication

Herramientas

Claude Code

Claude Cowork

AIOps tooling

Descripción del empleo

AgileEngine is seeking a Senior Platform Engineer to design and scale core infrastructure supporting rapid company growth. You will build reliable services, manage AWS and Kubernetes resources, and work with service mesh technologies to keep systems secure and performant.

Strong experience in distributed architectures and AI-native development tooling is desired, along with excellent communication and ownership mindset.