AI-Driven Platform Engineer — Cloud, Kubernetes & APIs

PwC; Rosario; Hybrid; ARS 181,747,000 - 272,620,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

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

The role requires experience with Python/TypeScript, API design, and cloud-native architectures, plus familiarity with LLMs and AI tooling.

Qualifications

• 3+ years of server development in Python or TypeScript.
• 1+ year of API design and development using REST/gRPC.
• 1+ year of experience with AWS and Kubernetes, including Service Mesh tech (Istio/Linkerd/Cilium).
• 1+ year building advanced architectural components (service registry, streaming, event bus, distributed caching, polyglot persistence).
• 6+ months of experience working with LLMs, prompt engineering, or AIOps tooling.
• 6+ months of SDLC AI-native usage via Claude Code/Claude Cowork or similar.
• Excellent communication skills and ownership mindset.

Responsibilities

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

Skills

Python

TypeScript

REST/gRPC

AWS

Kubernetes

Service Mesh (Istio/Linkerd/Cilium)

Distributed systems

LLMs / AI tooling

Code collaboration / ownership

Tools

Istio

Linkerd

Cilium

Job description

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

The role requires experience with Python/TypeScript, API design, and cloud-native architectures, plus familiarity with LLMs and AI tooling.