Platform Engineer — Scale AI-Ready Infra (Remote/Flex)

AgileEngine, LLC.

Región Centro

Hybrid

MXN 600,000 - 900,000

Full time

6 hours ago
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Benefits offered by this job

Professional growth
Competitive compensation
Exciting projects
Flextime

Job summary

AgileEngine is seeking a Platform Engineer to build and scale core infrastructure supporting rapid company growth. You will design reliable platform services, manage cloud resources on AWS and Kubernetes, and collaborate with engineering and data science teams to keep systems performant and secure.

Experience with distributed architecture and AI-native tooling is valued. Strong communication and ownership mindset, plus upper-intermediate English, are important as we operate across remote and

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 exposure.
  • 1+ year building platform components (service registry, streaming, caching, polyglot persistence).
  • 6+ months experience with LLMs, prompt engineering, or AIOps tooling.
  • 6+ months SDLC AI-native usage with Claude tools.
  • Upper-intermediate English communication skills.

Responsibilities

  • Design, build, and maintain scalable platform services to support growth.
  • Monitor, optimize, and improve system performance and reliability.
  • Manage cloud resources and service boundaries with security in mind.
  • Apply best practices to streamline development and increase efficiency.
  • Communicate status, risks, and updates to senior leadership.

Skills

Python/TypeScript
API design (REST/gRPC)
AWS & Kubernetes
Service Mesh
Distributed architecture
LLMs / AIOps tooling
English level

Tools

Cloud resources management tooling

Job description

AgileEngine is seeking a Platform Engineer to build and scale core infrastructure supporting rapid company growth. You will design reliable platform services, manage cloud resources on AWS and Kubernetes, and collaborate with engineering and data science teams to keep systems performant and secure.

Experience with distributed architecture and AI-native tooling is valued. Strong communication and ownership mindset, plus upper-intermediate English, are important as we operate across remote and

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