Lucía Romero

Senior AI Infrastructure Engineer

Barcelona, Spain · Europe/Madrid (UTC+2) · 9 years of experience

Lucía focuses on reliable, observable, and cost-efficient compute platforms for AI workloads.

Request a shortlist

Why this profile fits

Reliable AI compute

Runs Kubernetes and GPU platforms with workload isolation, SLOs, capacity controls, and recovery procedures.

Infrastructure as code

Makes environments repeatable through reviewed modules, GitOps, policy checks, and controlled change.

Cost and capacity discipline

Connects utilization, latency, availability, and unit economics to practical scaling decisions.

Relevant toolkit

Kubernetes

Terraform

NVIDIA GPUs

PrometheusArgo CD

Delivery evidence

Selected work

AI Service Observability Stack

travel technology

Designed and delivered a AI compute platform focused on observability for AI services; reduced mean time to isolate inference incidents from 74 to 19 minutes. The release included capacity controls, workload isolation, SLOs, disaster recovery, and unit-economics reporting.

Inference Incident Workbench

travel technology operations

Built the supporting control and measurement layer for the primary system, covering review queues, regression checks, operational visibility, and a documented handoff to the owning team.

View more profile detail →

Relevant experience

Career timeline

Senior AI Infrastructure Engineer

2023–Present

Devlyn client assignments · Remote

Led observability for AI services delivery for a travel technology team and reduced mean time to isolate inference incidents from 74 to 19 minutes.

AI Infrastructure Engineer

2017–2022

travel technology product company (confidential) · Barcelona, Spain

Built production systems in travel technology, with increasing ownership of reliability, testing, and stakeholder delivery.

Hiring this role?

See how Lucía fits the AI Infrastructure Engineer role.

See the AI Infrastructure Engineer role →

Skill depth

Show experience in context.

Competency shapeAssessment across the same six dimensions used for every profile.

Relevant experience by skill

Kubernetes9 years

Terraform8 years

NVIDIA GPUs7 years

Linux6 years

Prometheus9 years

Argo CD8 years

See the complete skill index

Languages

Frameworks

Tools

Platforms

Storage

Paradigms

Credentials

Certifications

Certified Kubernetes Security Specialist

Cloud Native Computing Foundation · 2023 · Certified

HashiCorp Certified: Terraform Associate (004)

HashiCorp · 2026 · Certified

Communication

Languages

English

Fluent

More examples

Similar AI Infrastructure Engineer profiles.

Viktor Petrov

Senior AI Infrastructure Engineer

Sofia, Bulgaria · 12 years

Senior AI Infrastructure Engineer with 12 years of experience, specializing in multi-tenant GPU Kubernetes for AI platform services.

Nisha Kulkarni

Senior AI Infrastructure Engineer

Pune, India · 9 years

Senior AI Infrastructure Engineer with 9 years of experience, specializing in inference platform reliability for financial software.

Samuel Mensah

Senior AI Infrastructure Engineer

Accra, Ghana · 8 years

Senior AI Infrastructure Engineer with 8 years of experience, specializing in hybrid-cloud AI foundations for telecommunications.