Senior AI Platform Engineer — AWS & Kubernetes

Oyster; Rosario; Hybride; ARS 181 747 000 - 272 620 000; Plein temps

Avantages offerts par ce poste

Professional growth

Competitive USD-based compensation

Flextime

Exciting projects

Résumé du poste

AgileEngine is seeking a Platform Engineer to design and scale core infrastructure, building reliable platform services on AWS and Kubernetes. You will collaborate with engineering and data science teams to keep systems performant and secure, leveraging AI-native tooling and distributed architectures.

Ideal candidates have hands-on experience with Python or TypeScript, API design, and cloud-native security, with a strong emphasis on ownership and cross-functional collaboration.

Qualifications

• 3+ years of server development in Python or TypeScript.
• 1+ year of API design and REST/gRPC development.
• 1+ year of AWS and Kubernetes experience.
• 1+ year building architectural components like service registry, streaming, event bus, distributed caching or polyglot persistence.
• 6+ months of experience with LLMs, prompt engineering, or AIOps tooling.
• 6+ months of AI-native SDLC usage with tools like Claude.
• Excellent communication, fast learning, ownership mindset.

Responsabilités

• Design, build, and maintain scalable platform services to support growth.
• Monitor, measure, and optimize system performance and reliability.
• Manage cloud resources and service boundaries with a focus on security.
• Implement best practices to improve development efficiency.
• Communicate project status, risks, and issues to leadership.

Connaissances

Python/TypeScript

API design REST gRPC

AWS & Kubernetes

Distributed architectures

AI tooling

AI-native SDLC

Communication skills

Outils

Istio

Linkerd

Cilium

Service Mesh

Description du poste

AgileEngine is seeking a Platform Engineer to design and scale core infrastructure, building reliable platform services on AWS and Kubernetes. You will collaborate with engineering and data science teams to keep systems performant and secure, leveraging AI-native tooling and distributed architectures.

Ideal candidates have hands-on experience with Python or TypeScript, API design, and cloud-native security, with a strong emphasis on ownership and cross-functional collaboration.