
cristo fernando abadia lopez
@cristofernandoabadia
I build reliable cloud platforms, Kubernetes delivery, and AI infrastructure at scale.
What I'm looking for
At KRAM, I design and operate production CI/CD pipelines for cloud-native, Kubernetes, and AI workloads using GitHub Actions, GitLab CI/CD, and Argo CD. I build reusable Terraform, Ansible, CloudFormation, and AWS CDK modules across AWS, Azure, and multi-cloud foundations.
I reduced time-to-root-cause by 35% through Python and Bash diagnostics for Linux, container, and Kubernetes node failures, supported by runbooks and automated remediation. My work also extends into MLOps and Generative AI/RAG workflows on AWS Bedrock, covering secure model access, IAM, secrets, monitoring, cost controls, and release governance.
Previously at Comunica Telecomunicaciones, I migrated OpenShift 3.11 to multi-AZ OpenShift 4.10 on AWS with zero unplanned downtime. I increased release frequency by 300% with Argo CD ApplicationSets and GitOps delivery, reduced change-failure rate to 2%, and cut critical CVE exposure from 14 days to 48 hours.
Across Lemonvil and Telfy Telecom, I improved uptime, lowered infrastructure costs, automated Linux and OSS operations, and built observability practices with Prometheus and Grafana. I enjoy enabling engineering teams to ship faster without sacrificing stability, security, or operational clarity.
Experience
Work history, roles, and key accomplishments
Designed and operated production CI/CD pipelines for cloud-native, Kubernetes and AI workloads using GitHub Actions, GitLab CI/CD and Argo CD, with pre-flight validation, controlled promotion, canary/blue-green releases and rollback criteria.
Built reusable Terraform, Ansible, CloudFormation and AWS CDK modules for AWS, Azure and multi-cloud foundations, IAM, Kubernetes bootstrap, observability an
Standardized AWS/Azure landing-zone patterns, hardened images and reusable Terraform baselines to improve provisioning consistency and security posture.
Migrated OpenShift 3.11 to multi-AZ OpenShift 4.10 on AWS with zero unplanned downtime during cut-over, improving platform resilience and maintainability.
Increased release frequency by 300% by introducing Argo CD ApplicationSets, GitOps workflows
Reduced infrastructure cost by 20% by analyzing utilization, autoscaling behavior and resource policies across application, load balancer and database tiers.
Improved uptime by implementing Prometheus, Grafana and PromQL alerting across application, infrastructure and database layers with clearer operational signals.
Standardized Kubernetes adoption through Docker, Helm deployment templates, ingre
Reduced manual operational effort by 20% by automating OSS workflows, Linux service administration, provisioning and support tasks with Bash, Python and PHP.
Reduced downtime by 30% by troubleshooting recurring incidents across Linux services, DNS, DHCP, TLS, routing and service availability layers.
Automated Linux server provisioning using Kickstart/PXE and standardized operational checks for pro
Education
Degrees, certifications, and relevant coursework
Universidad de Murcia
Bachelor of Science, Computer Science
Pursued studies in Computer Science, focusing on software development and systems.
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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