Lead/Senior Devops Engineer

Há 2 dias

Mossoró, Rio Grande do Norte, 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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