Platform Engineer — Scale Cloud Infra & AI Tools (Remote)

AgileEngine, LLC.

Colombia

Hybrid

COP 284,783,000 - 411,353,000

Full time

2 days ago
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Benefits offered by this job

Professional growth
TechTalks and mentorship
Education and training budgets
Flexible schedule with remote/office

Job summary

AgileEngine, LLC. is seeking a Platform Engineer to design, build, and scale core infrastructure supporting rapid company growth.

You will manage cloud resources on AWS and Kubernetes, ensuring performance, reliability, and security while collaborating with engineering and data science teams. The ideal candidate has 3+ years in Python/TypeScript server development, 1+ year in API design, 1+ year in AWS/Kubernetes, and experience with LLMs and AI-native tooling.

Qualifications

  • 3+ years of server development in Python or TypeScript.
  • 1+ year API design and development using REST/gRPC.
  • 1+ year of AWS and Kubernetes experience, incl. Istio/Linkerd/Cilium or similar.
  • 1+ year building architectures like service registry, streaming, event bus, caching, polyglot persistence.
  • 6+ months of experience with LLMs, prompt engineering, or AIOps tooling.
  • 6+ months of SDLC AI-native usage via Claude tools.

Responsibilities

  • Design, build, and maintain scalable platform services enabling growth.
  • Measure, monitor, and optimize system performance and bottlenecks.
  • Manage cloud resources and service boundaries with secure operations.
  • Implement best practices to improve development efficiency.
  • Communicate status, risks, and issues with stakeholders.

Skills

Python
TypeScript
REST/gRPC APIs
AWS
Kubernetes
Service Mesh
Distributed systems
LLMs
Claude AI tools
English proficiency

Job description

AgileEngine, LLC. is seeking a Platform Engineer to design, build, and scale core infrastructure supporting rapid company growth.

You will manage cloud resources on AWS and Kubernetes, ensuring performance, reliability, and security while collaborating with engineering and data science teams. The ideal candidate has 3+ years in Python/TypeScript server development, 1+ year in API design, 1+ year in AWS/Kubernetes, and experience with LLMs and AI-native tooling.

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