Oriol is available for hire
Hire OriolOriol Fabregas
Verified Expert in Engineering
Infrastructure Engineer and Developer
Location
Panama City, Panama, Panama
Toptal Member Since
September 28, 2022
Oriol is a system engineer with over 10 years of experience. He is an expert in all DevOps disciplines and loves infrastructure at scale. Alongside his technological career, he has built and led teams. He likes to translate business goals to technical value as per his recent business studies and relations with high-level directors in past companies. Oriol has helped save thousands of dollars in infrastructure costs and made developer tasks more productive, reducing market time.
Portfolio
EDSN
Terraform, AWS Transit Gateway, MongoDB, Infrastructure as Code (IaC)...
Just Eat Takeaway.com
Flux, Kubernetes, Machine Learning, Amazon Web Services (AWS), Terraform...
Exxellence
Kubernetes, Flux, Prometheus, Helm, Grafana, CI/CD Pipelines, Design...
Experience
Availability
Full-time
Preferred Environment
Linux, Python, Terraform, Kubernetes, Amazon Web Services (AWS), CI/CD Pipelines
The most amazing...
... thing I've created were ephemeral ML environments on demand. This solution saves thousands of computing time and provides users with faster results.
Work Experience
Senior Platform Engineer
2023 - 2023
EDSN
- Created CLI tools with Python to automate manual tasks and reduce developers' onboarding time.
- Developed Terraform modules to deploy infrastructure on AWS, especially on the network side.
- Created modular CI/CD pipelines with GitlabCI, resulting in organized team operations.
- Deployed helm charts by using ArgoCD in OpenShift, as well as implementing observability and alerting in EKS (Prometheus, Alertmanager, Grafana, and Thanos).
- Implemented cross-account Cloudwatch monitoring in a centralized monitoring account.
Technologies: Terraform, AWS Transit Gateway, MongoDB, Infrastructure as Code (IaC), Continuous Development (CD), VPN, Cloud Architecture, Container Orchestration, Amazon EBS, Virtual Machines, Technical Documentation, Software Engineering, Containers, Containerization, Azure, Continuous Delivery (CD), Redis, Amazon Aurora, Amazon RDS, Logging, Amazon CloudWatch, Site Reliability, DevSecOps, Security, Scripting, YAML, REST, Cloud Security, IT Security, Cloud Monitoring, Observability Tools, GitOps, Artifactory, AWS CLI, Automation, SaaS
ML Platform Engineer
2022 - 2023
Just Eat Takeaway.com
- Created a Kubernetes infrastructure and ecosystem for ML engineers.
- Automated deployments on Kubernetes by using FluxCD.
- Helped ML engineers to deploy their training models on Kubernetes.
- Monitored training models with Prometheus and Grafana.
Technologies: Flux, Kubernetes, Machine Learning, Amazon Web Services (AWS), Terraform, Terragrunt, DevOps, Docker, Amazon EKS, Amazon Route 53, Cloud, Git, PyCharm, Continuous Deployment, Continuous Integration (CI), Cloud Infrastructure, Amazon S3 (AWS S3), Scaling, Flask, Data Analytics, DevOps Engineer, GitLab, Infrastructure as Code (IaC), Continuous Development (CD), Karpenter, Amazon API, Cloud Architecture, Container Orchestration, Amazon EBS, Virtual Machines, Technical Documentation, Software Engineering, Containers, Containerization, Continuous Delivery (CD), Istio, Datadog, Logging, Amazon CloudWatch, DevSecOps, Security, Scripting, YAML, REST, IT Security, Cloud Monitoring, Observability Tools, GitOps, Artifactory, AWS CLI, Automation, SaaS, Apache Kafka
Senior Platform Engineer
2022 - 2022
Exxellence
- Improved Terraform pipelines' speed by 2x with Python.
- Migrated GitOps pipelines from Flux v1 to v2 in a multi-tenant setup on Amazon EKS.
- Enabled long-term metrics with Thanos and Prometheus.
- Coached Junior team members in coding and best practices.
- Helped developers deploy 6x faster to their environments by enabling image automation.
- Reduced Prometheus cardinality by 5x for better reliability.
Technologies: Kubernetes, Flux, Prometheus, Helm, Grafana, CI/CD Pipelines, Design, Architecture, GitLab CI/CD, Bash, Linux, Scalability, Reliability, Amazon EC2, AWS ELB, Amazon Virtual Private Cloud (VPC), Amazon Web Services (AWS), Cloud Computing, Monitoring, Networks, Programming, Terragrunt, DevOps, Docker, Amazon EKS, Amazon Route 53, Cloud, Git, PyCharm, Continuous Deployment, Continuous Integration (CI), Cloud Infrastructure, Amazon S3 (AWS S3), Scaling, System Architecture, DevOps Engineer, GitLab, Infrastructure as Code (IaC), Continuous Development (CD), Amazon API, Cloud Architecture, Container Orchestration, Amazon EBS, Virtual Machines, Technical Documentation, Containers, Containerization, PostgreSQL, Continuous Delivery (CD), Amazon RDS, Logging, Amazon CloudWatch, Site Reliability, Security, API Integration, Scripting, YAML, REST, IT Security, Cloud Monitoring, Observability Tools, GitOps, Artifactory, AWS CLI, Automation, SaaS
Senior Platform Engineer
2022 - 2022
Abcam
- Helped developers enable their microservices monitoring via serverless computing.
- Created metrics and dashboards for AWS and Kubernetes microservices.
- Deployed Kubernetes applications via Argo CD and CI/CD pipelines.
Technologies: Kubernetes, Argo CD, Serverless Framework, Grafana, CI/CD Pipelines, Helm, Prometheus, Design, Architecture, GitLab CI/CD, Bash, Linux, Scalability, Reliability, Amazon EC2, AWS ELB, Amazon Virtual Private Cloud (VPC), Amazon Web Services (AWS), Cloud Computing, Monitoring, Networks, DevOps, Docker, Amazon EKS, Cloud, Git, PyCharm, Continuous Deployment, Continuous Integration (CI), Cloud Infrastructure, Amazon S3 (AWS S3), GitLab, Infrastructure as Code (IaC), Continuous Development (CD), Container Orchestration, Amazon EBS, Virtual Machines, Technical Documentation, Containers, Containerization, Continuous Delivery (CD), Amazon OpenSearch, Amazon CloudWatch, Site Reliability, Scripting, YAML, IT Security, Cloud Monitoring, GitOps, Artifactory, AWS CLI, Automation, SaaS
Platform Engineer Lead
2021 - 2021
Fourthline
- Led a team of five engineers in making a payment platform scalable for high traffic.
- Planned, designed, and developed the infrastructure and software.
- Created and presented business cases for C-level executives.
- Developed libraries and CLIs in Python to authenticate to SSO platforms transparently and asynchronously.
- Created pipelines in Azure DevOps for auditing purposes and for deploying the infrastructure across environments (idempotency).
- Planned a year-ahead technical roadmap with OKRs and KPIs.
- Built migration strategies to move from ECS to Amazon EKS.
- Migrated .NET microservices to Amazon EKS with Flux CD v2.
Technologies: Amazon Elastic Container Service (Amazon ECS), Kubernetes, Leadership, Design, Architecture, Azure DevOps, Terraform, Amazon RDS, Grafana, Flux, CI/CD Pipelines, Helm, Prometheus, Bash, Linux, Scalability, Reliability, Amazon EC2, AWS ELB, Amazon Virtual Private Cloud (VPC), Amazon Web Services (AWS), Cloud Computing, Monitoring, Management, Business, Networks, Programming, Terragrunt, DevOps, Docker, Amazon EKS, Amazon Route 53, Cloud, Git, Relational Database Services (RDS), PyCharm, Continuous Deployment, Continuous Integration (CI), AWS Elastic File System, Cloud Infrastructure, Amazon S3 (AWS S3), AWS ALB, Scaling, System Architecture, DevOps Engineer, Infrastructure as Code (IaC), Continuous Development (CD), Kong, VPN, Amazon API, Cloud Architecture, Container Orchestration, Amazon EBS, Virtual Machines, Technical Documentation, Team Leadership, Software Engineering, Containers, Containerization, PostgreSQL, Continuous Delivery (CD), Amazon OpenSearch, Datadog, Logging, Amazon CloudWatch, Site Reliability, Release Management, DevSecOps, AWS CloudTrail, Redshift, Security, API Integration, Scripting, ECS, YAML, REST, Cloud Security, IT Security, Cloud Monitoring, Observability Tools, Startups, GitOps, Artifactory, AWS CLI, Automation, SaaS, Go, AWS Key Management Service (KMS)
Senior Cloud Systems Developer Lead
2018 - 2020
Cloudreach
- Migrated an on-premise infrastructure to AWS, including databases and application servers.
- Handled serverless architectures with AWS Lambda and Python.
- Assumed the technical leadership of five engineers, creating OKRs and personal development plans.
- Architected and designed cloud-native AWS solutions, including networking, multi-account setup, and logging strategies.
- Deployed infrastructure as code with Sceptre and CloudFormation.
- Developed Python CLIs for product owners to retrieve information from different internal sites.
- Designed and developed automatic secret rotation in Python for AWS serverless Lambda and SSM.
- Created data pipelines in Python and Elasticsearch in AWS Athena and Glue.
- Built Vanilla Amazon Machine Images (AMIs) using Packer automatically in GitLab CI pipelines.
Technologies: Python, GitLab CI/CD, Serverless Framework, CI/CD Pipelines, Leadership, Design, Bash, Linux, Chef, Scalability, Amazon EC2, AWS ELB, Amazon Virtual Private Cloud (VPC), Amazon Web Services (AWS), Cloud Computing, Monitoring, Management, Business, Networks, Programming, DevOps, AWS DevOps, Amazon API Gateway, AWS IAM, Amazon Route 53, AWS Cloud Architecture, Cloud, Git, AWS Lambda, PyCharm, Continuous Deployment, Continuous Integration (CI), Elasticsearch, Cloud Infrastructure, Amazon S3 (AWS S3), AWS ALB, Scaling, System Architecture, DevOps Engineer, GitLab, Infrastructure as Code (IaC), Continuous Development (CD), Amazon API, AWS CodePipeline, AWS CodeBuild, Cloud Architecture, Amazon EBS, Virtual Machines, Technical Documentation, Team Leadership, AWS CloudFormation, Software Engineering, Containers, Containerization, PostgreSQL, Continuous Delivery (CD), Logging, Amazon CloudWatch, AWS CloudTrail, Security, API Integration, Scripting, Cloud Migration, YAML, Serverless, Cloud Security, IT Security, Cloud Monitoring, GitHub, Artifactory, AWS CLI, Automation, SaaS, Windows PowerShell, API Gateways, AWS Key Management Service (KMS)
Site Reliability Engineer
2017 - 2017
Payconiq
- Developed the AWS infrastructure as code with Terraform.
- Implemented, extended, and tuned monitoring of Nagios Plugins with Python.
- Created pipelines for Python code release and infrastructure deployment.
- Built libraries in Python to automate our work, such as user troubleshooting with MongoDB lookups, aggregations, and updates.
- Created and extended Python APIs, libraries, and CLIs.
Technologies: Python, MongoDB, Terraform, Grafana, GitLab CI/CD, Bash, Linux, Scalability, Reliability, Amazon EC2, AWS ELB, Amazon Virtual Private Cloud (VPC), Amazon Web Services (AWS), Cloud Computing, Monitoring, Programming, DevOps, Cloud, Git, AWS Lambda, PyCharm, Continuous Deployment, Continuous Integration (CI), AWS Elastic File System, Site Reliability Engineering (SRE), Elasticsearch, Cloud Infrastructure, Amazon S3 (AWS S3), AWS ALB, Scaling, DevOps Engineer, GitLab, Infrastructure as Code (IaC), Continuous Development (CD), Jenkins, Amazon EBS, Virtual Machines, Technical Documentation, AWS CloudFormation, Software Engineering, Containers, Containerization, PostgreSQL, Continuous Delivery (CD), NoSQL, Bitbucket, Redis, Amazon OpenSearch, Configuration Management, Site Reliability, Release Management, Security, Scripting, Serverless, Cloud Security, IT Security, Cloud Monitoring, System Administration, Startups, AWS CLI, Automation, SaaS
Site Reliability Engineer
2015 - 2017
Oracle
- Automated our virtual software-defined networking (SDN) with Ansible.
- Developed Python libraries and CLIs to aggregate alerts and incidents and plot them in dashboards using the ELK stack.
- Created and maintained chef recipes and extended some custom recipes in Ruby.
Technologies: Chef, Ansible, Linux, Python, Bash, Reliability, Cloud Computing, Operating Systems, Programming, DevOps, Git, PyCharm, Continuous Integration (CI), Site Reliability Engineering (SRE), Elasticsearch, Flask, Continuous Development (CD), Virtual Machines, Technical Documentation, Containers, PostgreSQL, Configuration Management, Site Reliability, Release Management, Scripting, Ruby, System Administration, Automation
Service Engineer
2011 - 2015
Telefónica
- Automated the back- and front-end deployment with Ansible.
- Handled AWS EMR pipeline automation with Python and CloudFormation.
- Created different scripts to move data across AWS regions.
- Packaged the Django back end to RPMs, enabling their deployment.
- Built Jenkins jobs to deploy code to a bare metal infrastructure.
- Maintained Apache and Nginx web servers for high traffic with VoIP.
Technologies: Amazon Web Services (AWS), Python, Ansible, Linux, Bash, Operating Systems, Vagrant, Git, Cloud Infrastructure, Amazon S3 (AWS S3), Infrastructure as Code (IaC), Continuous Development (CD), High Availability Disaster Recovery (HADR), Jenkins, Amazon EBS, Virtual Machines, Technical Documentation, AWS CloudFormation, Containers, PostgreSQL, NoSQL, Redis, Logging, Configuration Management, Site Reliability, Release Management, System Administration, GitHub, Automation, NGINX
Operations Manager
2012 - 2012
O2
- Deployed a new eHealth product based in the UK on bare metal infrastructure.
- Maintained Linux servers, handling Tomcat application servers and Ansible deployments.
- Automated some manual tasks using Bash scripting.
- Defined SLAs according to customer service support.
Technologies: Linux, Apache Tomcat, Bash, Operating Systems, Git, Jenkins, Amazon EBS, Virtual Machines, Technical Documentation, Release Management, System Administration, GitHub, Automation, NGINX
Experience
PyStrava
https://github.com/wefner/pystravaPyStrava helps developers create third-party integrations in Python with transparent authentication. At the same time, it still benefits from all the stravalib features. The major advantage is that one can use this library as a service without manual re-login.
Ansible and Vagrant Course
https://github.com/wefner/ansible-vagrantThis project contains all the materials taught in a course I had the opportunity to give. It helps developers and system administrators to bootstrap a local environment for a faster development experience.
SpotifyLib
https://github.com/wefner/spotifylibA Python-based project which extends the community library Spotipy by authenticating to the API endpoint transparently so it can be used as a service while still using all the functionalities of Spotipy.
SlackSound
https://github.com/wefner/slacksoundThis Python-based project monitors a Slack channel for reactions to music YouTube links. The most thumbed-up link will be added to a Spotify playlist. It helps offices to keep ambient music democratically.
FootyLib
https://github.com/wefner/footyA Python-based project that scrapes the website https://footy.eu/ for all the upcoming matches and results.
This is helpful for creating calendar events and adding them to the players' agenda. The website lacked this functionality at the time.
This is helpful for creating calendar events and adding them to the players' agenda. The website lacked this functionality at the time.
OpenTelemetry in Kubernetes
https://github.com/wefner/otel-kubernetes-exampleA full step-by-step walkthrough to create a local Kubernetes environment and use the OpenTelemetry collector. It shows how Python users can publish traces, metrics, and logs to add value to their microservices.
Skills
Languages
Python, Bash, YAML, Python 3, Ruby, Go
Frameworks
Serverless Framework, Flux, Flask, Windows PowerShell
Libraries/APIs
Terragrunt, Amazon API
Tools
Terraform, Helm, Grafana, Amazon Elastic Container Service (Amazon ECS), Ansible, AWS ELB, Amazon Virtual Private Cloud (VPC), Amazon EKS, Amazon EBS, AWS CloudFormation, Amazon CloudWatch, AWS CloudTrail, GitHub, Artifactory, AWS CLI, AWS Key Management Service (KMS), GitLab CI/CD, Chef, Vagrant, AWS IAM, Git, PyCharm, GitLab, Istio, Amazon OpenSearch, Logging, NGINX, Apache Tomcat, Kong, VPN, Jenkins, AWS CodeBuild, Bitbucket
Paradigms
DevOps, Continuous Deployment, Continuous Integration (CI), Continuous Development (CD), Continuous Delivery (CD), Automation, Azure DevOps, Management, DevSecOps, REST, Agile
Platforms
Kubernetes, Amazon Web Services (AWS), Amazon EC2, Docker, AWS Lambda, AWS ALB, Linux, Azure, Apache Kafka
Storage
Amazon S3 (AWS S3), MongoDB, Elasticsearch, NoSQL, Amazon Aurora, Databases, AWS Elastic File System, PostgreSQL, Redis, Datadog, Redshift
Other
CI/CD Pipelines, Scalability, Cloud Computing, Amazon RDS, AWS Cloud Architecture, Cloud, AWS Certified DevOps Engineer, Site Reliability Engineering (SRE), Cloud Infrastructure, DevOps Engineer, Infrastructure as Code (IaC), Cloud Architecture, Container Orchestration, Virtual Machines, Technical Documentation, Team Leadership, Containers, Containerization, Scripting, Cloud Migration, ECS, Cloud Monitoring, Observability Tools, System Administration, Startups, GitOps, SaaS, Prometheus, Leadership, Design, Architecture, Pipelines, Reliability, Monitoring, Networks, Programming, AWS DevOps, Amazon API Gateway, Amazon Route 53, AWS Certified Solution Architect, Scaling, System Architecture, Karpenter, Software Engineering, Configuration Management, Site Reliability, Release Management, Security, API Integration, Serverless, Cloud Security, IT Security, API Gateways, Argo CD, Finance, Statistics, Cost Accounting, Marketing Mix, Business Law, Economics, Business, Operating Systems, Machine Learning, Relational Database Services (RDS), Data Analytics, AWS Transit Gateway, High Availability Disaster Recovery (HADR), AWS CodePipeline, Telemetry
Education
2015 - 2022
Bachelor's Degree in Business Administration
Open University of Catalonia - Barcelona, Spain
2007 - 2009
Diploma in Computer Science
La Salle - Barcelona, Spain
Certifications
SEPTEMBER 2023 - SEPTEMBER 2025
Certified Kubernetes Security Specialist
The Linux Foundation
APRIL 2023 - APRIL 2026
Certified Kubernetes Administrator
The Linux Foundation
MAY 2022 - MAY 2025
Certified Kubernetes Application Developer
The Linux Foundation
FEBRUARY 2021 - FEBRUARY 2024
AWS Certified DevOps Engineer Professional
AWS
FEBRUARY 2018 - FEBRUARY 2021
AWS Certified Solutions Architect Associate
AWS
APRIL 2014 - PRESENT
MongoDB for DBAs
MongoDB University
APRIL 2014 - PRESENT
MongoDB for Developers
MongoDB University
Collaboration That Works
How to Work with Toptal
Toptal matches you directly with global industry experts from our network in hours—not weeks or months.
1
Share your needs
Discuss your requirements and refine your scope in a call with a Toptal domain expert.
2
Choose your talent
Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.
3
Start your risk-free talent trial
Work with your chosen talent on a trial basis for up to two weeks. Pay only if you decide to hire them.
Top talent is in high demand.
Start hiring