Lead/senior DevOps Engineer (Platform Engineer) (Guadalajara)

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 in Guadalajara, Mexico
• 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
• Adaptable working hours
• Work with a highly skilled and collaborative engineering team
• Opportunity to contribute to impactful, real-world healthcare solutions