Platform Engineer: AI-Driven Infra on AWS & K8s (Remote)

AgileEngine, LLC.

Pereira

Ibrido

COP 388.387.000 - 582.581.000

Tempo pieno

14 giorni+
Generatore di candidature

Ricevi una risposta da questo datore di lavoro — un curriculum e una lettera di presentazione personalizzati, che corrispondono esattamente a ciò che sta cercando.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Professional growth
Competitive USD-based compensation
A selection of exciting projects
Flextime

Descrizione del lavoro

AgileEngine, LLC in Pereira, Colombia, is seeking a Platform Engineer to design and scale core infrastructure supporting rapid growth.

You will manage cloud resources on AWS and Kubernetes, implement reliable platform services, and collaborate with engineering and data science teams to keep systems performant and secure.

This role emphasizes distributed architecture, AI-native tooling, and ownership, with flex-time and hybrid work options.

Competenze

  • 3+ years server development in Python or TS.
  • 1+ year API design (REST/gRPC).
  • 1+ year AWS and Kubernetes with service mesh.
  • 1+ year building architectural components (service registry, streaming, etc).
  • 6+ months working with LLMs / AIOps tooling.
  • 6+ months of AI-native SDLC tooling usage.
  • Excellent communication and ownership.

Mansioni

  • Design, build, maintain scalable platform services.
  • Measure, monitor, and optimize system performance; identify bottlenecks.
  • Manage cloud resources and service boundaries; ensure security.
  • Implement best practices to optimize development efficiency.
  • Communicate status, risks, and issues with stakeholders.

Conoscenze

Python/TS dev
API design
AWS & Kubernetes
Service mesh
Distributed arch
LLMs tooling
AI SDLC usage
Ownership comms

Strumenti

Istio
Linkerd
Cilium

Descrizione del lavoro

AgileEngine, LLC in Pereira, Colombia, is seeking a Platform Engineer to design and scale core infrastructure supporting rapid growth.

You will manage cloud resources on AWS and Kubernetes, implement reliable platform services, and collaborate with engineering and data science teams to keep systems performant and secure.

This role emphasizes distributed architecture, AI-native tooling, and ownership, with flex-time and hybrid work options.

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