Chief Cloud Infrastructure Architect

Há 5 dias

Brasil beBeeCloud Tempo inteiro US$90.000 - US$120.000
Platform Engineer Role Overview

Our organization is seeking a highly skilled Platform Engineer to join our team. The ideal candidate will have expertise in cloud infrastructure and be able to design, develop, and maintain internal tools, automation scripts, and developer-facing interfaces.

As part of our corporate-wide initiative, you will play a key role in developing and operating a platform that empowers teams to experiment with and deploy foundational models, intelligent agents, and automated workflows at scale.

Key Responsibilities:
  • Design and develop internal tools, automation scripts, and developer-facing interfaces to support the development and deployment of AI and automation use cases.
  • Develop and maintain cloud-based infrastructure (AWS) to support hosting of foundational models and intelligent agents.
  • Implement Infrastructure-as-Code practices using Terraform/CDK to ensure reproducibility and scalability of environments.
  • Collaborate with internal teams to embed AI capabilities into business processes via APIs, agents, or prompt workflows.
  • Contribute to the development of reproducible, scalable, and observable environments for AI and automation use cases.
Required Skills and Qualifications:
  • 5+ years of AWS platform engineering experience, including container management/ECS, RDS, DocumentDB, API management, secrets management, and Terraform.
  • Solid cloud infrastructure experience with AWS (EC2, IAM, S3, Lambda, CloudWatch, etc.).
  • Proven software development experience (e.g., Python, TypeScript, or similar).
  • Familiarity with database administration to restore, import/export, recover, and diagnose database issues.
  • Hands-on experience automating real-world processes or building internal tools.
  • Experience with Terraform or CDK for provisioning infrastructure.
  • Familiarity with CI/CD pipelines and Git-based workflows.
  • Strong problem-solving mindset and ability to work autonomously across teams.
  • B2+ English proficiency.
Desirable Skills:
  • Experience with Kubernetes (especially EKS) and Helm.
  • Exposure to foundational model hosting (e.g., HuggingFace, vLLM, Triton).
  • Understanding of RAG pipelines, embeddings, and vector databases (e.g., Weaviate, Qdrant).
  • Familiarity with AI automation libraries like LangChain, Haystack, or similar.
  • Observability stack: Prometheus, Grafana, OpenTelemetry.

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