Vinicius S.

Back-end and Systems Engineer

Software developer
6/1/2023 - Present

Developed proficiency in Golang through the creation and maintenance of scalable, high-performance applications. Leveraged frameworks such as Gin and Echo to build robust web services and APIs. Demonstrated expertise in using Docker for containerization, ensuring seamless deployment and scalability of applications. Utilized Kubernetes for orchestrating containerized applications and managing clusters. Employed various cloud services including AWS and GCP to deploy, manage, and scale applications. Showcased database management skills with PostgreSQL and Redis for efficient data storage and retrieval. Improved code quality and collaborative efforts through the use of Git for version control and Jenkins for continuous integration and deployment. Emphasized unit testing and integration testing using Go's testing tools to ensure code reliability and functionality.

Jr. Developer
10/1/2021 - Present

Developed strong technical expertise in Python and JavaScript through extensive hands-on experience in back-end and front-end web development. Gained proficiency in using frameworks such as Django and Flask for robust back-end solutions and React.js for dynamic, responsive front-end interfaces. Demonstrated capabilities in database management and optimization with PostgreSQL and MongoDB. Enabled version control and collaborative development practices utilizing Git and GitHub. Strengthened debugging and problem-solving skills through continuous integration and deployment processes with Jenkins. Enhanced understanding of RESTful APIs and microservices architecture, ensuring scalable and maintainable application development.

Tech Intern
4/1/2021 - 10/1/2021

Developed REST APIs using Golang, Java Spring, and Quarkus frameworks, significantly enhancing functionality, assertiveness, and performance. Integrated and constructed queries within MySQL, PostgreSQL, and MongoDB databases for applications. Authored BDDs with Gherkin to automate the test pipeline within the CI/CD flow, ensuring that future code modifications did not cause regression in existing functionalities. Utilized BigQuery in conjunction with PowerBI to generate demand-based analyses. Developed an automation script with Python to integrate sensor data query into the Airflow data pipeline, allowing for more efficient and accurate data processing and enabling the team to concentrate on other crucial tasks.

Bachelor's Degree in Physics at Federal Rural University of Rio de Janeiro
2015 - 2021