Platform Engineer: Remote Cloud & AI-Native Infra

AgileEngine, LLC.; Perímetro Urbano Barranquilla; Hybrid; COP 237,319,000 - 379,711,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

Exciting projects with Fortune 500 and

Flextime - remote & office options

Job summary

AgileEngine, LLC. is seeking a Platform Engineer to design and scale core infrastructure that supports rapid company growth. You will manage cloud resources on AWS and Kubernetes, collaborate with engineering and data science teams, and contribute to secure, performant systems.

The role emphasizes distributed architecture, AI-native tooling, and ownership mindset, with a mix of remote and office work in a growth-focused environment.

Qualifications

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

Responsibilities

• Design, build, and maintain scalable platform services to support company growth.
• Measure, monitor, and optimize system performance and bottlenecks.
• Manage cloud resources and service boundaries with security and operations in mind.
• Implement best practices to optimize development processes and efficiency.
• Communicate status, risks, and issues to stakeholders including leadership.

Skills

Python/TypeScript

API design REST/gRPC

AWS

Kubernetes

Service mesh (Istio/Linkerd/Cilium)

Distributed architecture

LLMs / AI tooling

AI-native SDLC tooling

Communication skills

English (Upper-intermediate)

Job description

AgileEngine, LLC. is seeking a Platform Engineer to design and scale core infrastructure that supports rapid company growth. You will manage cloud resources on AWS and Kubernetes, collaborate with engineering and data science teams, and contribute to secure, performant systems.

The role emphasizes distributed architecture, AI-native tooling, and ownership mindset, with a mix of remote and office work in a growth-focused environment.