About me

Hi! I am Luis González Site Reliability Engineer with a background in Backend Development with Python. Experience in automation with Rundeck, Ansible and Jenkins, creation of CI/CD pipelines and deployment in Kubernetes. I like working within agile teams and collaborating with others to find innovative solutions.

Skills

CI/CD | Jenkins | Ansible | Docker | Kubernetes | Rundeck

Git | Github | Gitlab | Bitbucket | Gitflow | Trunk Based Development

Python | Django | Django Rest Framework | Numpy | Pandas

R | Shiny | Plotly | JavaScript | MySQL | PostgreSQL

Cloud Computing | AWS| Linux | Backend | Full-Stack | English, Spanish

Experience

SRE | DevOps in Abalia (contractor in Roche) 01/2022-Current

  • Managing the Rundeck instance within Roche (the pharmaceutical company) where about 3.000 jobs are executed daily: Deploying CI/CD pipeline that deploy Rundeck in Kubernetes with Ansible and Jenkins and improving Rundeck performance within a Kubernetes cluster reaching an SLI of 99.97.
  • Enriched Rundeck by integrating with ServiceNow and Hashicorp Vault by creating custom plugins using Python and bash.
  • Helping users automate their processes with Rundeck, organizing demo days for users and writing the guidelines.
  • Designed and developed a web app development: ticket auto dispatch for Service Now. This application automatically assigns the most suitable person to resolve each incident from among all those available on the team, reducing ticket assignment time by 90%. It is a Django dockerize application, with asynchronous tasks. Technologies used: Python, Django, Javascript, Docker, Nginx, Celery.

Backend Developer | Data Analyst in HaciendasBio 01/2018-12/2021

  • Designed and implemented an ERP in the AWS cloud for the management of the production department (over 40 daily users). Previously, data was recorded in Excel, this ERP reduced data recording time by 50%, improving the quality of records. Technologies used: Python, Javascript, Django, AWS (EC2, RDS, S3, Lambda), Linux, Docker.
  • Developed and implemented a business intelligence platform to control costs in the production department. Allowing decisions based on data that reduced the costs of some activities by 20%. Technologies used: R, SQL, Shiny, Rmarkdown, Plotly.
  • Developed harvest prediction models for different crops. Improving predictions by 70%. Technologies used: R.

Education

University of Córdoba

2018-2019

University of Córdoba

2015-2017

University of Extremadura

2011-2015