Senior AI/ML Platform Engineer Cloud & Kubernetes

Software Engineering, Data Science; Ciudad de Mendoza; Hybrid; ARS 181,747,000 - 272,620,000; Full time

Benefits offered by this job

Flex time

Remote/work from home option

Office collaboration days

Career growth opportunities

Job summary

AgileEngine is seeking a Platform Engineer to design and scale core infrastructure that supports rapid growth. You will work with engineering and data science teams to keep systems performant and secure, using AWS, Kubernetes, and AI-native tooling.

The role emphasizes distributed architecture, collaboration with leadership, and ownership of critical platform services that enable rapid delivery to Fortune 500 brands and startups alike.

Qualifications

• 3+ years of server development in Python or TypeScript.
• 1+ year API design and development using REST or gRPC.
• 1+ year AWS and Kubernetes experience with service mesh tech (Istio/Linkerd/Cilium).
• 1+ year building architectural components like service registry or streaming.
• 6+ months of experience with LLMs, prompt engineering or AIOps tooling.
• 6+ months of AI-native SDLC usage (Claude Code or similar).
• Excellent communication skills and upper-intermediate English.

Responsibilities

• Design, build, and maintain scalable platform services for company growth.
• Measure, monitor, and optimize system performance and bottlenecks.
• Manage cloud resources and service boundaries with security in mind.
• Implement best practices to streamline development and efficiency.
• Communicate updates on status, risks, and issues to leadership.

Skills

Python/TypeScript

API design (REST/gRPC)

AWS & Kubernetes

LLMs / AI-native tooling

SDLC AI-native usage

Communication skills

Tools

Istio

Linkerd

Kubernetes

Terraform

Cilium

Job description

AgileEngine is seeking a Platform Engineer to design and scale core infrastructure that supports rapid growth. You will work with engineering and data science teams to keep systems performant and secure, using AWS, Kubernetes, and AI-native tooling.

The role emphasizes distributed architecture, collaboration with leadership, and ownership of critical platform services that enable rapid delivery to Fortune 500 brands and startups alike.