Antonio Bri Pérez
Lead AI DevOps & DevSecOps Engineer
Computer scientist· University professor
Alicante, Spain
DevSecOps engineer specialising in cloud platforms for regulated industries. Since 2023 I have led the delivery of data and AI projects on AWS and Azure at UST for one of Spain’s largest banks: infrastructure as code, CI/CD pipelines with security built in from the first commit, and the final call on every production release. Previously, as an MLOps Engineer at FacePhi, I took deep learning models to production, and from 2024 to 2026 I taught cloud computing and AI as an Associate Professor at UNIR.
Skills
- Amazon Web Services (AWS)
- Microsoft Azure
- Kubernetes
- Team leadership
- Artificial intelligence
- Cloud & IaC
- AWS · Azure · Terraform
- Containers
- Docker · Kubernetes (EKS)
- CI/CD
- GitHub Actions · SonarQube · Fortify · Nexus
- Automation
- Ansible · Python (Boto3) · Bash
- Observability
- Dynatrace
- Systems & security
- RHEL · Windows Server · Hardening
Experience
- 2023 – Present
Lead AI DevOps Engineer
UST España
Cloud migration, deployment and security for one of Spain’s largest banks, aligning tooling with the group’s global strategy.
- Coordinating data and AI projects on AWS and Azure and provisioning their infrastructure with Terraform (RDS, Redshift, DynamoDB, Glue, Lambda), including business-critical public-facing services.
- Technical lead and mentor for a DevOps team of 8–9 engineers, and single point of contact between the team and several client entities.
- Accountable for go/no-go on every production release, after validating compliance with the group’s requirements and security policies.
- CI/CD pipelines with GitHub Actions, SonarQube, Fortify and Nexus, plus hardening on AWS, RHEL and Windows Server.
- Taking part in hiring new engineers together with the bank.
- 2024 – 2026
Associate Professor
UNIR — Universidad Internacional de La Rioja
Cloud computing and AI in the MSc in Artificial Intelligence and the BSc in Data Science.
- Taught Tools for AI-Driven Cloud Computing (MSc in AI) three times and helped develop its content and syllabus.
- Taught Artificial Intelligence and Knowledge Engineering (BSc in Data Science) twice.
- Supervised 12 master’s theses and 2 bachelor’s theses.
- Rated 8.9/10 in official student surveys, above the programme average.
- 2021 – 2023
MLOps Engineer
FacePhi Biometría
MLOps for the R&D department of a biometrics company: AI models in production and the infrastructure that trains them.
- Deployed AI models for genuine ID document recognition on AWS EKS, with Terraform and CI/CD.
- Planned, forecast and provisioned R&D infrastructure on AWS (EC2, S3) and on-premise; helped define the working methodology for the Nvidia HGX GPU data centre using Docker and Bash.
- Automated AWS infrastructure management with Python (Boto3) and Ansible.
- Designed the architecture that automatically moves unstructured data, mainly images, into production layers for AI model training.
- 2021
Research Collaborator
Universidad de Alicante
Deep learning to predict failures in CPUs exposed to ionising radiation.
Education
- 2022 – 2024
MSc in DevOps
UNIR — Universidad Internacional de La Rioja
Software lifecycle automation, infrastructure as code, cloud migration strategies and CI/CD.
- 2017 – 2022
BSc in Computer Science
Universidad de Alicante
Final project: denoising spectroscopic signals with deep learning.
Certifications
- Advanced Machine Learning and Signal Processing
- Applied AI with DeepLearning
