Lead/senior DevOps Engineer

hace 4 días

Guadalajara, México Quantori A tiempo completo

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- 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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