Senior Platform Engineer — Remote & Growth Opportunities

AgileEngine, LLC.; Estado de México; Remote; MXN 1,693,000 - 2,445,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine, LLC. is seeking a Senior Platform Engineer to design, build, and scale core infrastructure supporting rapid company growth.

You will design reliable platform services, manage cloud resources on AWS and Kubernetes, and work with service mesh technologies to keep systems performant and secure. The role requires experience with distributed architecture, LLMs, prompt engineering, and AI-native development tooling, plus strong communication and ownership.

Qualifications

• 4+ years of server development in Python or TypeScript.
• 3+ years API design and development (REST/gRPC).
• 2+ years AWS and Kubernetes with service mesh experience.
• 2+ years building advanced architectural components (service registry, streaming, distributed caching).
• 6+ months experience with LLMs, prompt engineering, or AIOps tooling.
• 6+ months SDLC AI-native usage via Claude Code, Claude Cowork, or similar.
• Excellent communication skills, the ability to learn on the fly, and ownership.
• Upper-intermediate English level.

Responsibilities

• Design, build, and maintain scalable platform services to support growth.
• Measure, monitor, and optimize system performance and bottlenecks.
• Manage cloud resources and ensure security and operational excellence.
• Implement best practices and tools to improve development efficiency.
• Communicate project status, risks, and issues to leadership.

Skills

Python

TypeScript

API design (REST/gRPC)

Distributed architecture

Leadership / ownership

Upper-intermediate English

Tools

AWS

Kubernetes

Service Mesh (Istio/Linkerd/Cilium)

AIOps tooling

Job description

AgileEngine, LLC. is seeking a Senior Platform Engineer to design, build, and scale core infrastructure supporting rapid company growth.

You will design reliable platform services, manage cloud resources on AWS and Kubernetes, and work with service mesh technologies to keep systems performant and secure. The role requires experience with distributed architecture, LLMs, prompt engineering, and AI-native development tooling, plus strong communication and ownership.