We are looking for a lead/senior platform engineer with strong experience in cloud infrastructure. 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.
location:
guadalajara, mexico (on-site location, office visits are required)
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:
* 5+ years 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 database 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 to visit the office in guadalajara, mexico (preferably, on a daily basis)
* 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