Lead/Senior DevOps Engineer

Há 3 dias

Recife, Pernambuco, Brasil Quantori Tempo inteiro

We are looking for a Lead/Senior Platform Engineer with strong experience in cloud infrastructure. This is not a traditional DevOps or admin role — we're seeking someone who builds usable tools and automations, not just infrastructure, and uses AI actively to accelerate their own work. You will play a key role in our corporate-wide initiative by developing and operating a platform that empowers teams to experiment with and deploy foundational models, intelligent agents, and automated workflows at scale.

Responsibilities:

  • Build internal tools, automation scripts, and developer-facing interfaces 
  • Develop and maintain cloud-based infrastructure (AWS) to support hosting of foundational models and intelligent agents 
  • Implement Infrastructure-as-Code practices using Terraform/CDK 
  • Work closely 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 
  • What we expect:
  • Have 5+ year of AWS platform engineering, including container management / ECS, RDS, DocumentDB, API management, secrets management, 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 data base 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
  • Availability for occasional office visits in Guadalajara, Mexico

We offer:

  • Competitive compensation
  • Project-based contract until the end of the year with the possibility of extension
  • Flexible working hours
  • Work with a highly skilled and collaborative engineering team
  • Opportunity to contribute to impactful, real-world healthcare solutions

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