Senior Platform Engineer: Scalable AWS/K8s Infra | Remote

AgileEngine, LLC.; Ciudad de México; Hybride; MXN 2 216 000 - 3 323 000; Plein temps

Avantages offerts par ce poste

Professional growth

Competitive USD-based pay

Exciting projects with Fortune 500 and

Flextime with remote and office

Résumé du poste

AgileEngine, LLC. is seeking a Senior Platform Engineer to design, build, and scale core infrastructure that supports rapid company growth. You will work with AWS, Kubernetes, and service mesh technologies to ensure performant, secure systems and AI-native tooling integration.

The role emphasizes distributed architecture, cloud resource management, and strong communication with senior leadership. Flexible schedule with remote and office options is offered.

Qualifications

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

Responsabilités

• Design, build, and maintain scalable platform services to support growth.
• Monitor, measure, and optimize system performance and bottlenecks.
• Manage cloud resources and service boundaries with security in mind.
• Implement best practices to improve development processes and efficiency.
• Communicate project status, risks, and issues with stakeholders.

Connaissances

Python/TypeScript

API design (REST/gRPC)

AWS & Kubernetes

Service mesh (Istio/Linkerd/Cilium)

LLMs & AI tooling

Claude/AIOps tooling

Communication & ownership

Outils

Istio

Linkerd

Cilium

Description du poste

AgileEngine, LLC. is seeking a Senior Platform Engineer to design, build, and scale core infrastructure that supports rapid company growth. You will work with AWS, Kubernetes, and service mesh technologies to ensure performant, secure systems and AI-native tooling integration.

The role emphasizes distributed architecture, cloud resource management, and strong communication with senior leadership. Flexible schedule with remote and office options is offered.