Platform Engineer II: Cloud, AI-Native Infra, Flex/Remote

Teladoc Health

Buenos Aires

Hybrid

ARS 182,437,000 - 273,656,000

Full time

4 days ago
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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 growth. You will manage cloud resources on AWS and Kubernetes, collaborating with engineering and data science teams to keep systems secure and performant.

Key tasks include measuring performance, implementing improvements, and driving SDLC AI-native practices with LLMs and related tooling. Flexibility to work from home and office is offered.

Qualifications

  • 3+ years of server development in Python or TypeScript.
  • 1+ year API design with REST/gRPC.
  • 1+ year AWS and Kubernetes experience.
  • Experience with Istio, Linkerd, or Cilium.
  • 1+ year building architectural components (service registry, streaming, event bus).
  • 6+ months working with LLMs, prompt engineering, or AIOps tooling.
  • 6+ months of AI-native SDLC tooling (Claude Code/Cowork).
  • Excellent communication and ownership mindset.

Responsibilities

  • Design, build, and maintain scalable platform services.
  • Monitor and optimize system performance, identify bottlenecks.
  • Manage cloud resources and security boundaries.
  • Implement best practices to improve development efficiency.
  • Communicate project status and risks to stakeholders.

Skills

Python
TypeScript
API design
REST
gRPC
AWS
Kubernetes
Istio
Linkerd
Cilium
LLMs
Prompt engineering
AIOps tooling
Claude Code
Claude Cowork
Distributed caching

Job description

AgileEngine 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, collaborating with engineering and data science teams to keep systems secure and performant.

Key tasks include measuring performance, implementing improvements, and driving SDLC AI-native practices with LLMs and related tooling. Flexibility to work from home and office is offered.

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