Senior Platform Engineer: AI-Native Infra on AWS/K8s

INGEPSY; Sur; Presencial; COP 293.026.000 - 390.701.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime

Descripción de la vacante

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

The role requires 4+ years of server development in Python/TypeScript, 2+ years with AWS/Kubernetes and service meshes, and 6+ months in AI-native SDLC. Excellent communication and ownership are essential.

Formación

• 4+ years of server development in Python or TypeScript.
• 3+ years of API design and development (REST/gRPC).
• 2+ years of experience with AWS and Kubernetes, including service mesh tech (Istio/Linkerd/Cilium).
• 2+ years building advanced architectural components (service registry, streaming, distributed caching, etc.).
• 6+ months of experience with LLMs, prompt engineering, or AIOps tooling.
• 6+ months of SDLC AI-native usage (Claude Code, Claude Cowork).
• Excellent communication, willingness to learn, ownership.

Responsabilidades

• Design, build, and maintain scalable platform services to support company growth.
• Measure, monitor, and optimize system performance; identify bottlenecks.
• Manage cloud resources and service boundaries with a focus on security.
• Implement best practices and tools to optimize development efficiency.
• Communicate project status, risks, and issues to stakeholders.

Conocimientos

Python/TypeScript

REST/gRPC API

AWS & Kubernetes

Service Mesh

Distributed architecture

LLMs / AI tooling

AI-native SDLC

Communication skills

Descripción del empleo

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

The role requires 4+ years of server development in Python/TypeScript, 2+ years with AWS/Kubernetes and service meshes, and 6+ months in AI-native SDLC. Excellent communication and ownership are essential.