ghitabot

Participated in the architecture, development, and management of both the software and DevOps operations of an after-sales solution for an automotive client. The backend was developed using a distributed microservices architecture, where each microservice provided a RESTful interface. Initially deployed on the IBM Cloud platform, subsequent migration to AWS was undertaken. Cloud infrastructure management was conducted through Terraform. CI/CD processes were established using Jenkins and scripted pipelines, while deployments were orchestrated using Helm.

Assisted the client in migrating over 200 Java microservices, to the IBM Cloud platform, leveraging Kubernetes clusters as the foundation.

Led a team of 9 people in the development of an enhanced printer driver written in Java, aimed at modernizing and extending printer capabilities over multiple protocols. Using Agile methodology, aligned planning of project milestones, work allocation, and resource management, ensuring on-time delivery and adherence to quality standards. Collaborated with cross-functional teams that were using our product to plan hardware requirements, ensuring compatibility and optimal testing of the printer driver across various combinations. Implemented robust build processes and deployment pipelines to streamline development workflows and ensure code consistency. Oversaw the design and implementation of new features, leveraging Java technologies and industry best practices to enhance printer functionality and user experience.

Contributed to a software solution tailored for small-scale print shops, dedicated to the efficient management and optimization of printing tasks. The product was developed using Java for the backend as a web application, complemented by a Flex frontend. Key duties included refining existing features, implementing enhancements, and resolving software defects.

I was a member of a team tasked with developing a website creation platform, aimed to provide customers with an intuitive interface for generating HTML snippets for their web pages.