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
**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
- Availability for occasional office visits (Guadalajara, Mexico, preferably)
- 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
**We offer**:
- Competitive compensation
- Project-based contract until the end of the year with the possibility of extension
- Versátil working hours
- Work with a highly skilled and collaborative engineering team
- Opportunity to contribute to impactful, real-world healthcare solutions

📌 Lead/senior DevOps Engineer (Platform Engineer) (Guadalajara)
🏢 Quantori
📍 Guadalajara