Daniel Jaramillo, Developer in Medellín - Antioquia, Colombia
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Daniel Jaramillo

Verified Expert  in Engineering

Software Developer

Medellín - Antioquia, Colombia
Toptal Member Since
August 22, 2019

Daniel has over a decade of experience as a contract developer and several years in DevOps specializing in AWS, Terraform, Kubernetes, and CI/CD. He enjoys taking up challenges, continuous learning, and improving all the time to deliver the best to his clients.


Safely-you (via Toptal)
Amazon Web Services (AWS), ELK (Elastic Stack), Nagios, Linux, Python...
Skymind (via Toptal)
Terraform, Java, Python, Docker, Amazon SageMaker, Azure
Pocketmade (via Toptal)
WordPress, Linux, DeployHQ, Gulp




Preferred Environment

Amazon Web Services (AWS), Python, Linux, Jenkins, Terraform, Kubernetes

The most amazing...

...projects I've worked on included helping telecom companies manage their infrastructure and CI/CD pipelines to deploy complex ETL definitions in their networks.

Work Experience

DevOps Engineer

2019 - PRESENT
Safely-you (via Toptal)
  • Created and ran Ansible playbooks.
  • Developed Terraform resources to provision the AWS infrastructure.
  • Composed Python scripts for automation.
  • Deployed and maintained the ELK stack.
  • Built Nagios probes for monitoring.
Technologies: Amazon Web Services (AWS), ELK (Elastic Stack), Nagios, Linux, Python, Terraform, Ansible

DevOps Engineer

2019 - PRESENT
Skymind (via Toptal)
  • Created Azure DevOps pipelines.
  • Set up AWS SageMaker to train models.
  • Established monitoring for Azure Service apps.
  • Integrated Azure with AWS.
  • Implemented SQS and SNS to notify users.
Technologies: Terraform, Java, Python, Docker, Amazon SageMaker, Azure

DevOps Engineer

2019 - 2019
Pocketmade (via Toptal)
  • Improved the page speed index from 20 to 97 using the page speed insights from Google as a measure.
  • Set up Docker Compose for the development environments.
  • Reviewed PHP files and removed unused code.
  • Configured the CDN to serve static content in a faster way.
  • Set up a CI/CD pipeline using DeployHQ.
Technologies: WordPress, Linux, DeployHQ, Gulp

DevOps Team Lead

2010 - 2019
  • Worked mainly on automated tasks using Python; a notable example was automating the testing of our customers' deliveries—previously this manual, and after automation, we reduced the testing from two weeks to one day.
  • Ensured that the CI/CD pipeline was running smoothly.
  • Implemented infrastructure management mainly using Terraform on AWS.
  • Generated documentation for all the infrastructure and the delivery pipelines.
  • Interacted with other teams, especially development and QA.
Technologies: Hadoop, Oracle, Python, Git, Kubernetes, Jenkins

Integration Engineer

2002 - 2010
  • Installed and administered the Linux OS that was holding the application.
  • Managed Oracle databases; it was a challenging task because the load involved billion of records every day.
  • Composed Bash and Python scripts for parsing and enriching raw data received from network elements.
  • Designed and implemented HA for the on-premises servers holding the application.
  • Designed and implemented a system to recover the data missed between the network elements and the application.
Technologies: Python, Bash, Oracle, Linux, C++

Software Engineer

2000 - 2002
  • Designed and developed a CRM system used by some companies in Colombia in a SaaS model.
  • Made the system highly available using the Sun Cluster environment which was the best option at the time.
  • Developed a portal used by company clients to monitor their internet usage.
Technologies: JavaScript, PHP, MySQL

Continuous Delivery Architecture

The purpose of this project was to design and implement a continuous delivery architecture for a scalable and secure 3 tier Node application.

Technologies: AWS, Terraform, Kubernetes, Jenkins, CloudFront, Node.js

Building All of the Infrastructure from a Single Script

The goal here was to build from a single script all the infrastructure to serve a Dockerized web application. It also includes the pipeline which simplifies the whole process with automation. For example, when developers push changes to the repository, it will automatically build the Docker image, push it to the ECR repository, and then deploy it to a Fargate service.

Technologies: CloudFormation, Docker, ECR, ECS, Fargate, CloudWatch, CodePipeline

Python Tool

I built a Python tool to test ETL definitions (execute, test, and deploy ETL definitions).


Python, Bash, SQL, PHP, Java, JavaScript, Go, C++


Amazon Web Services (AWS), Amazon, Kubernetes, Linux RHEL/CentOS, Docker, Azure, Linux, Oracle, DeployHQ, WordPress


CI/CD Pipelines, Cloud Infrastructure, Computer Science


Terraform, Jenkins, Git, Gulp, Amazon SageMaker, Ansible, Nagios, ELK (Elastic Stack), AWS CloudFormation, Docker Compose


Data Pipelines, MySQL, PostgreSQL


Yii 2, Hadoop

1998 - 2002

Bachelor's Degree in Computer Science

Universidad EAFIT - Medellín, Colombia