Platform Engineer - Remote | AI-Native & Scalable Infra

AgileEngine, LLC.; Región Centro; Hybrid; MXN 2,172,000 - 2,715,000; Full time

Benefits offered by this job

Professional growth

Competitive pay

Exciting projects

Flextime

Job summary

AgileEngine, LLC. is seeking a Platform Engineer to design and scale core infrastructure that supports rapid growth.

You will manage cloud resources on AWS and Kubernetes, collaborating with engineering and data science teams to keep systems secure, reliable, and performant. You will work with distributed architectures and AI-native tooling, contributing to scalable platform services, monitoring, and security practices.

Qualifications

• 3+ years of server development in Python or TypeScript.
• 1+ year API design and development using REST/gRPC.
• 1+ year AWS and Kubernetes experience, incl. service mesh tech like Istio/Linkerd/Cilium.
• 1+ year 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 AI-native SDLC tooling usage (Claude Code, Claude Cowork, etc.).
• Excellent communication, fast learner, ownership mindset.

Responsibilities

• Design, build, and maintain scalable platform services to support growth.
• Measure, monitor, and optimize system performance and bottlenecks.
• Manage cloud resources and service boundaries, ensuring security and reliability.
• Implement best practices and tools to improve development efficiency.
• Collaborate with stakeholders and leadership to report status and risks.

Skills

Python/TypeScript

API design

AWS

Kubernetes

Distributed architecture

LLMs / AIOps

AI-native SDLC tools

Communication skills

Tools

Istio

Linkerd

Cilium

Job description

AgileEngine, LLC. is seeking a Platform Engineer to design and scale core infrastructure that supports rapid growth.

You will manage cloud resources on AWS and Kubernetes, collaborating with engineering and data science teams to keep systems secure, reliable, and performant. You will work with distributed architectures and AI-native tooling, contributing to scalable platform services, monitoring, and security practices.