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Jesus Avila Cristobal

Jesus Avila Cristobal

DevOps

Talento
Naucalpan de JuárezMiembro desde 30 de marzo de 2026
AWSMicrosoft AzureDockerKubernetesJenkinsGitLab CIAzure DevOpsTerraformAnsibleGrafanaElasticsearchELK StackCloudWatchPythonPandasscikit-learnTensorFlowBashApache AirflowML pipeline integrationMongoDBMySQLLinux
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AWSMicrosoft AzureDockerKubernetesJenkins

Sobre mí

Results-driven DevOps Engineer with 7+ years of experience designing and scaling cloud infrastructure, CI/CD pipelines, and containerized platforms. Strong expertise in Kubernetes, Terraform, and Azure/AWS environments, with a proven track record of improving system reliability, deployment speed, and operational efficiency. Experienced in bridging DevOps and data workflows, including ML pipeline integration and data engineering using Apache Airflow and Python.

Passionate about building scalable, observable, and resilient systems.

Experiencia

Senior DevOps Engineer at Global Hitss (2024-09 – 2025-12)

Senior DevOps Engineer at Global Hitss

  • Designed and maintained advanced Jenkins pipelines using shared libraries, standardizing CI/CD processes across teams
  • Kubernetes infrastructure initiatives, improving system stability and performance in production environments
  • Implemented CI/CD workflows for frontend (React) applications, ensuring seamless integration and delivery
  • Collaborated with cross-functional teams to define best practices for infrastructure and deployment automation

DevOps Engineer at Softtek (2019-07 – 2024-09)

DevOps Engineer at Softtek

  • Architected and managed end-to-end CI/CD pipelines across Dev, QA, and Production environments
  • Designed and operated Kubernetes clusters, improving system reliability and reducing downtime
  • Provisioned cloud infrastructure in Azure using Terraform, ensuring repeatable and scalable deployments
  • Built and maintained Docker images to standardize development and deployment environments
  • Developed monitoring and observability solutions using Grafana and ELK Stack
  • Automated server configuration and operations using Ansible, reducing manual effort
  • Integrated ML workflows with DevOps pipelines, including data ingestion and processing using Apache Airflow
  • Co-developed Python-based APIs for automation and platform tooling
  • Created and maintained comprehensive technical documentation on Confluence to facilitate knowledge sharing across development teams

Educación

Bachelor's Degree in Applied Mathematics and Computer Science – Universidad Nacional Autónoma de México (UNAM)

Habilidades

DevOps

Valoraciones

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