Senior Platform Engineer - Remote & Flexible Hours

INGEPSY; Capital; Presencial; COP 293.112.000 - 488.520.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation

A selection of exciting projects

Flextime

Descripción de la vacante

AgileEngine is seeking a Senior Platform Engineer to design and scale core infrastructure, managing cloud resources on AWS and Kubernetes while leveraging service mesh technologies to ensure security and performance. You will work on distributed architectures with AI-native tooling and contribute to scalable platform services across the organization.

The role emphasizes collaboration with senior leadership, ownership, and the adoption of modern deployment practices.

Formación

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

Responsabilidades

• Design, build, and maintain scalable platform services to support company growth.
• Monitor and optimize system performance; identify bottlenecks and improve infra.
• Manage cloud resources and service boundaries with security in mind.
• Implement best practices to optimize the development process and efficiency.
• Communicate status, risks, and issues to senior leadership.

Conocimientos

Python

TypeScript

API design

AWS

Kubernetes

Service Mesh

LLMs

AIOps tooling

SDLC AI-native usage

Communication skills

Herramientas

Istio

Linkerd

Cilium

Descripción del empleo

AgileEngine is seeking a Senior Platform Engineer to design and scale core infrastructure, managing cloud resources on AWS and Kubernetes while leveraging service mesh technologies to ensure security and performance. You will work on distributed architectures with AI-native tooling and contribute to scalable platform services across the organization.

The role emphasizes collaboration with senior leadership, ownership, and the adoption of modern deployment practices.