Cloud Systems Engineer

Há 24 horas

Canoas, Rio Grande do Sul, Brasil beBeeCloud Tempo inteiro R$200.000 - R$250.000
Job Description

We seek a skilled Platform Engineer to design and develop internal tools, automation scripts, and developer-facing interfaces leveraging AI to accelerate their work. This role is focused on building usable tools and automations, not traditional DevOps or admin.

The ideal candidate will have extensive experience in cloud infrastructure, with a strong background in AWS platform engineering, including container management, RDS, DocumentDB, API management, secrets management, and Terraform.

Key Responsibilities
  • Design and develop internal tools, automation scripts, and developer-facing interfaces
  • Develop and maintain cloud-based infrastructure (AWS) for hosting foundational models and intelligent agents
  • Implement Infrastructure-as-Code practices using Terraform/CDK
  • Collaborate with internal teams to embed AI capabilities into business processes via APIs, agents, or prompt workflows
  • Contribute to reproducible, scalable, and observable environments for AI and automation use cases
  • Promote and apply responsible automation practices across the engineering organization
Requirements
  • 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
Nice to Have
  • 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
What We Offer
  • Competitive compensation
  • Project-based contract until the end of the year with the possibility of extension
  • Flexible working hours
  • Opportunity to contribute to impactful, real-world healthcare solutions

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