Luiz – AWS, GCP, Kubernetes

The project involved managing the infrastructure for the payment system of a mobile application used worldwide. When joining the company, the DevOps team had six members, later changing to just 1 person. The infrastructure runs on AWS and is currently being migrated to GCP. All backend services related to payments operate within the infrastructure. The stack has changed significantly over the years, with this candidate being present in all migrations. Some migrations included:

• Jenkins -> GHA -> ArgoCD; BitBucket -> GitHub; Self-Hosted database -> AWS RDS; Self-Hosted Kubernetes cluster -> EKS; Local config management -> HashiCorp Vault; AWS -> GCP.

• Improved and monitored the cloud infrastructure to ensure high availability, scalability, and security of the McDonald's mobile app used worldwide in America, Europe, and Asia;
• Built new features and maintained and improved the performance of the McDonald's mobile app;
• Led the implementation of the HashiCorp Vault solution to secure all sensitive data, ensuring compliance with industry regulations and preventing data breaches;
• Successfully migrated the database from an on-premise solution to Amazon RDS, reducing database costs by 15% and improving system performance;
• Utilized tools and services such as Kubernetes, Docker, AWS, and Jenkins to ensure the highest levels of quality and reliability.

An agricultural company aimed to use AI to assess the purity level of soybean grains. Initially, it operated on in-house infrastructure, but later, it migrated to Google Cloud Platform (GCP) and Kubernetes to improve scalability and efficiency for running its microservices. After a few months, it was migrated to AWS.

• Established the local infrastructure from scratch using the Google Cloud Platform (GCP), ensuring the infrastructure was scalable and secure to support all of the company's applications and services.
• Successfully migrated the company's infrastructure to Amazon Web Services (AWS) after several months, utilizing best practices for cloud migration to ensure minimal downtime and data loss.
• Designed and implemented backup and disaster recovery solutions to minimize the impact of any potential disruptions to the company's operations.
• Conducted regular maintenance and monitoring to ensure optimal system performance and to identify and resolve any issues that arose promptly.

A startup focused on therapist data that was later acquired by one of the most popular banks in Brazil. The entire tech stack was built on AWS, and the application's primary goal was to implement an efficient ETL process for the bank's data.

• Improved and monitored the company's cloud infrastructure to ensure high availability, scalability, and security of all applications and services;
• Automated all processes and applied DevOps culture and SRE fundamentals to streamline operations and reduce manual intervention;
• Created a CI/CD process using Jenkins to automate the build, test, and deployment of software releases, reducing time-to-market and improving quality;
• Designed and implemented a serverless AWS solution for a new product, utilizing best practices for cloud architecture and ensuring high availability, scalability, and performance;
• Monitored the infrastructure regularly to identify and resolve any issues that arose quickly, minimizing downtime and ensuring optimal system performance.

A project for one of the top 10 companies in the world (confidential). The project aimed to measure the quality of the company's products. Once the individual parts were ready, the team automated the testing process using the service developed, ensuring efficiency and accuracy in quality control.

• Spearheaded the improvement, monitoring, and migration of the company's cloud infrastructure, applying DevOps culture and SRE fundamentals to ensure high availability and reliability;
• Automated 90% of processes to streamline operations and reduce manual intervention to a minimum;
• Successfully migrated all legacy services previously running on virtual machines to a Kubernetes cluster, improving scalability and performance;
• Monitored the infrastructure regularly to identify and resolve issues quickly, minimizing downtime and ensuring optimal system performance.

A company that allocates developers to work on various projects, while at the time of this role, it focused on developing data solutions services. The goal was to create a platform similar to BigQuery, providing scalable and efficient data processing capabilities.

• Led the successful provisioning of the local infrastructure from scratch, enabling seamless support for all company applications and services, resulting in a 50% increase in productivity and operational efficiency;
• Worked closely with developers to provide guidance and support for their daily activities, including managing development environments and troubleshooting issues as they arose;
• Designed and implemented production infrastructure solutions, utilizing both on-premise machines and the Google Cloud Platform to ensure critical services were available and performant.

A mid-sized IT support company serving approximately 50 clients. Most of these clients hosted their infrastructure on-premises, while some migrated to the cloud. The company's primary responsibility was managing and maintaining Linux servers that ran critical business applications for these clients.

• Provided Linux support to over fifteen clients, utilizing CRM software that was hosted on Linux servers;
• Monitored the infrastructure daily to ensure optimal performance and troubleshoot any issues that arose;
• Conducted regular audits of the backup system to ensure data integrity and minimize the risk of data loss;
• Automated daily tasks with Python for efficiency and productivity.