Platform Engineer - Scale Cloud Infra (Remote/Flextime)

AgileEngine, LLC.

Rosario

Hybrid

ARS 169,108,000 - 261,349,000

Full time

22 hours ago
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Benefits offered by this job

Professional growth
Competitive USD-based pay
Exciting projects
Flextime with remote/office options

Job summary

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

Experience with AI-native tooling and distributed architecture is highly valued. The role offers flextime with remote and office options, and is ideal for engineers who enjoy ownership and cross-team collaboration, with an

Qualifications

  • 3+ years of server development in Python or TypeScript.
  • 1+ year API design with REST/gRPC.
  • 1+ year AWS and Kubernetes; service mesh knowledge.
  • 1+ year building distributed architectural components.
  • 6+ months working with LLMs / AI-native tooling.
  • 6+ months SDLC AI-native usage via Claude Code/Claude Cowork.

Responsibilities

  • Design, build, and maintain scalable platform services to support company growth.
  • Measure, monitor, and optimize system performance; identify bottlenecks and implement improvements.
  • Manage cloud resources and service boundaries; ensure security and operational excellence.
  • Implement best practices, methodologies, and tools to optimize development processes.
  • Communicate with stakeholders, including senior leadership, on project status and risks.

Skills

Python
TypeScript
API design
AWS
Kubernetes
Service Mesh
Distributed systems
LLMs
Claude AI
AI tooling
English

Job description

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

Experience with AI-native tooling and distributed architecture is highly valued. The role offers flextime with remote and office options, and is ideal for engineers who enjoy ownership and cross-team collaboration, with an

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