About the Backend Software Engineer We are seeking a dynamic Backend Software Engineer to join our Team Engine based in Pisa.
Team Engine is responsible for the development and maintenance of services related to real-time bidding: these services handle millions of advertising requests per second managed by clusters distributed around the world.
Furthermore, bidding services interact with real-time reporting systems, as well as various data ingestion and backup systems of different formats and types. This requires collaboration with all the other teams, including Team Data Science for the use of algorithms, Team Platform for managing user/admin configurations, and Team Big Data for the management of data produced by the bidding components.
The Engine team follows the classic Agile work planning according to the Scrum methodology, following all its ceremonies.
What you will do: Software Development: Collaborate with senior developers and cross-functional teams to design, develop, test, document, and maintain Java-based services, ensuring high-quality code and adherence to coding standards. Feature Implementation: Assist in the implementation of new features and enhancements, contributing to the entire software development lifecycle from concept to deployment. Code Review: Participate in code reviews, both as a reviewer and a reviewee. Provide constructive feedback and suggestions to improve code quality and foster a culture of continuous improvement. Technical Problem Solving: Collaborate with the team to analyze and solve technical challenges, proposing innovative solutions to complex problems. Learning and Growth: Stay up-to-date with the latest developments in Java and related technologies. Proactively seek opportunities to learn and apply new skills to enhance your contribution to the team. Skills You'll Have: Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent work experience). Proficiency in Java programming language and a solid understanding of object-oriented programming principles. Basic understanding of both relational and No-SQL databases. Knowledge of parallel and distributed systems, and basic knowledge of real-time and low-latency concepts. Strong problem-solving skills. Language Requirements: Good command of English (B2-C1).
Education: Master's degree or equivalent in Computer Science or related fields.
Candidate Type: Recent graduate.
#J-18808-Ljbffr