Luan Guimarães

Software Engineer


I started in computing by studying and developing low-level embedded systems, which has opened the door to the universe of Linux, networks, and other infrastructure topics. Then I worked on designing on-premises cloud infrastructure for some university laboratories and social organizations. These opportunities led me to engage in several open-source communities all over the world. At the same time, through social initiatives aimed at improving democratic processes in Brazil, I participated in the development of machine learning projects and clustering systems. In the last years, I worked for the gaming industry as SRE, building and maintaining solutions that support millions of daily active users worldwide. Now, I’m building a whole data infrastructure from scratch in a Brazilian startup.

Work Experience

Data/DataOps Engineer

Sanar | 2021 - Present

A startup that works with building technology to boost the journey of healthcare professionals.

  • Responsible for designing an building a cost-effective data processing infrastructure in AWS.
  • Development of the necessary tooling and libs to drive the data analysis work
  • Implementation of IaC practices, configuration management, automated testing and monitoring within the data team.

Senior Site Reliability Engineer

Wildlife Studios | 2018 - 2021

Wildlife Studios is one of the 10 largest mobile gaming companies in the world.

  • Responsible for maintaining a global scale gamming infrastructure using technologies like Kubernetes, Cilium and Vault.
  • Worked on a variety of projects with different technologies, including Golang, Python, Kubernetes, Helm, Etcd, Terraform, Elasticsearch.
  • Development leader of the technology used for easily managing multiple Kubernetes clusters and networks in AWS around the world, including China.
  • Implementation and maintenance of log and metric collection for monitoring systems, including Datadog, Prometheus, Grafana and the ELK stack.
  • Development of Terraform modules and CI/CD pipelines applying Infrastructure as Code practices.
  • Configuration of highly available infrastructure for GPU workloads within Amazon EKS.

DevOps/Machine Learning Engineer

Hacklab | 2017 - 2018

The project “Brasil Que o Povo Quer” is a political platform for social participation and opinion gathering.

  • Development of the core Python application.
  • Integration of distributed components with Celery.
  • Development of distributed PCA/k-means clustering models.

Infrastructure Engineer

Instituto Nacional de la Salud de Colombia | 2017

A platform to help the Colombian National Institute of Health (INS) to monitor and study epidemics.

  • Enhancement and deployment of the project “Guardianes de la Salud.”
  • Responsible for the server performance, scalability, and reduction of the application’s operational cost.
  • Internal courses of Linux virtualization, Linux containers, and Continuous Integration to the Institute’s engineers.

Software Engineer Researcher

LAPPIS | University of Brasilia | 2013 - 2018

  • Worked with several Python projects as backend developer
  • Studied and implemented machine learning clustering models for online social participation platforms.
  • Designed and created the laboratory’s on-premises cloud infrastrucuture using OpenNebula and Rancher.
  • Created and maintained the laboratory’s development infrastructure for many open source projects, including SPB, the Brazilian public software platform.
  • Benchmarking some open source virtualization tools like CloudStack and OpenNebula.

Infrastructure Engineer Intern

CENTEIAS | University of Brasilia | 2016 - 2017

CENTEIAS is a laboratory for epidemiological studies of the Healthy Department at UnB.

  • Responsible for creating a new private cloud infrastructure based on opensource software for virtualization and Linux container orchestration, including OpenNebula and Rancher.
  • Migration of several services to container-based solutions and implemented reliable CI/CD pipelines for these projects with Gitlab CI.



Closed Source | 2019 - 2021

Wildlife's tool for creating and managing global multi-cluster production environments with Kubernetes. I worked as the architect and the main developer, using technologies such as Golang, k8s client-go, Kops, Terraform, Vault, Etcd, AWS EKS, Helm and Gitlab-CI.


Open Source | 2020 - Current

A Prometheus exporter for Gitlab management metadata. I worked as the architect and the main developer using technologies such as Prometheus, Grafana, Python, Openmetrics and Gitlab API.

Pushing Together

Open Source | 2016 - 2018

A social platform for opinion gathering with checks and balances of opinion bubbles and manipulation. I was responsible for the clustering models using algorithms such as k-Means and PCA. I worked on its infrastructure, metrics collection, profiling and testing. The main technologies involved was Python, Numpy, Scikit-learn, Pandas and Matplotlib.


Educational Initiative | 2020

Personal project that aims at teaching computer science to women from other areas of science based on study methods of competitive programming. I'm one of the coordinators and the main teacher.



  • 31 Aug 2020 · BOSS Initiative · What’s behind a game?
  • 29 Oct 2020 · eBPF Summit · How Wildlife Studios built a Global Gaming Infrastructure with Cilium
  • 3 Dec 2020 · Cloud Native Ireland + Wildlife · Global Gaming Infrastructure with Kubernetes and Cilium

Technical Articles

  • 3 Sep 2020 · Cilium Blog · How Wildlife Studios built a Global Multi Cluster Gaming Infrastructure with Cilium