Acting as a technical reference within the squad. Focusing on product evolution along with their maintenance, prioritization and refining. Also responsible for assisting in the professional development of my peers.In our service stack, we mostly use python and a core monolith service in java. All applications are maintained and managed on kubernetes. We develop and maintain our CI/CD pipelines with GitHub Actions.Monitoring works with prometheus plus grafana, performing alerts… Show more Acting as a technical reference within the squad. Focusing on product evolution along with their maintenance, prioritization and refining. Also responsible for assisting in the professional development of my peers.In our service stack, we mostly use python and a core monolith service in java. All applications are maintained and managed on kubernetes. We develop and maintain our CI/CD pipelines with GitHub Actions.Monitoring works with prometheus plus grafana, performing alerts via webhook in slack. Furthermore, we use different AWS services (sqs, lambda, cloudwatch, rds, etc.) to compose our products. The company adopts an event-driven backbone standard, using kafka to disclose various events relevant to the company’s operation Show less

Working as a Java developer for the investment team. We created scalable solutions that target to improve customer usability with the financial market. In this way, I worked in the maintenance of the systems that orchestrate the primary fixed income products. Isolating the SOAP calls in specific and isolated services, aiming to improve the visibility of these lateral calls and adopting the REST pattern for them. In this way, we enable the use of asynchronous calls for application and rescue… Show more Working as a Java developer for the investment team. We created scalable solutions that target to improve customer usability with the financial market. In this way, I worked in the maintenance of the systems that orchestrate the primary fixed income products. Isolating the SOAP calls in specific and isolated services, aiming to improve the visibility of these lateral calls and adopting the REST pattern for them. In this way, we enable the use of asynchronous calls for application and rescue routines.I also worked on the development of a solution to orchestrate the execution of schedules that are made on a recurring basis (daily, weekly or monthly). The orchestration of this scheduling platform uses Kafka together with a DBMS to control duplications, we also built a strategy of DLQ and push notifications for the user.All adopted solutions make up development routines with the bank’s ecosystem: AWS, Kubernetes, Terraform, Terragrunt, Kafka, Spring boot, Micronaut and GitLab Show less

I worked on the implementation of the DevOps culture at a commodity company. The company's organizational culture had a lot of bureaucracy, which has affected its agile development process. In this way, we act in the implementation and construction of more agile and flexible standards within key client projects. We work in the organization of the build and release processes of the projects. We implemented AKS, using Terraform scripts, and introduced the key projects to this new structure, which… Show more I worked on the implementation of the DevOps culture at a commodity company. The company's organizational culture had a lot of bureaucracy, which has affected its agile development process. In this way, we act in the implementation and construction of more agile and flexible standards within key client projects. We work in the organization of the build and release processes of the projects. We implemented AKS, using Terraform scripts, and introduced the key projects to this new structure, which facilitated the application management process and brought significant savings of resources to our customer. Show less

I worked at the beginning of the implementation project of a Data Lake and Data Warehouse. I worked on the implementation of the entire data ingestion process, where Kafka was used together with Kubernetes. We implemented kafka connectors like Debezium and Sink S3. All these Kafka settings (creation of topics, ACLs and connectors) and AWS were works using Terraform with Terragrunt. We performed the entire Kafka cluster monitoring process with Prometheus, using the JMX metrics available in… Show more I worked at the beginning of the implementation project of a Data Lake and Data Warehouse. I worked on the implementation of the entire data ingestion process, where Kafka was used together with Kubernetes. We implemented kafka connectors like Debezium and Sink S3. All these Kafka settings (creation of topics, ACLs and connectors) and AWS were works using Terraform with Terragrunt. We performed the entire Kafka cluster monitoring process with Prometheus, using the JMX metrics available in Kafka. This monitoring was centralized in New Relic, where we developed alerts for all connectors and core functionalities of Kafka Cluster. Show less

- I started my journey at DTI as a DevOps intern. The challenge was to contribute to Falconi’s digital transformation process. The DevOps cycle was quite unstable and needed more attention and manpower. Our structure was hosted onAzure and we had Kubernetes as our runtime platform. Both our products and our CI/CD platform (Jenkins) ran on AKS (Azure Kubernetes Service).- I also worked on another Falconi project, however, this one used the Cloud provider AWS. As the cloud provider… Show more - I started my journey at DTI as a DevOps intern. The challenge was to contribute to Falconi’s digital transformation process. The DevOps cycle was quite unstable and needed more attention and manpower. Our structure was hosted onAzure and we had Kubernetes as our runtime platform. Both our products and our CI/CD platform (Jenkins) ran on AKS (Azure Kubernetes Service).- I also worked on another Falconi project, however, this one used the Cloud provider AWS. As the cloud provider was different, we adopted other strategies in implementing the DevOps flow for this scenario. As it was a legacy application from another vendor. We adopted the use of the Elastic Container Service (ECS - Fargate) to provision our backend, and we use cloudfront to host the frontend for S3. This scenario was already developed using terraform scripts for infrastructure provisioning Show less

The internship was my first professional experience where I could contribute to Teknisa’s networking team. My role within the team was to carry out the day-to-day routines and maintenance of the company. In addition, I worked on solving problems that the customer service team reported. We also worked, providing support to the development team with the demands that were being prioritized. In this process, we start implementing the DevOps culture within the organization