Senior Java Software Engineer

Role overview Ballys Central Lotsa is looking for a Senior Java Software Engineer in Athens, Attikí, Greece. This position focuses on designing, building, and maintaining complex software systems that support core business needs. What you will do Design, implement, and support Java-based software solutions Work with teams across disciplines to clarify and re…

Role Overview Intralot is seeking a Senior Software Engineer with strong Java expertise to help build and improve software for gaming and lottery systems. This role focuses on designing and developing solutions that support the company's products and services. What You Will Do Develop and maintain Java-based applications for gaming and lottery platforms. Collaborate with team members to solve technical challenges and deliver new features. Contribute to the architecture and design of scalable, reliable systems. Location This position is based in Athens, Attikí, Greece.

IKH is a premier Software and Robotics Solutions provider making significant strides in the global market. Over the past few years, our team has expanded by over 80%, leading us to relocate to a modern, spacious office. As we embark on 2025, we're excited to introduce several innovative projects focused on digital transformation, custom software development, and robotics.We are currently seeking a talented Senior Java Software Engineer with a robust technical background and extensive experience to tackle challenging outsourced projects.In this position, you will not only develop complex project tasks but also supervise the development efforts of junior developers. You will analyze functional requirements and decompose tasks for team assignment.To thrive as a Senior Software Developer, you should possess profound knowledge of Java technologies and exhibit strong leadership capabilities. Exceptional communication skills are essential as you will collaborate with clients and various development teams.Your Daily Responsibilities:Design, develop, and maintain the back-end of large-scale web-based Java EE/Spring applications.Engage in technical analysis, documentation, implementation, and integration.Test and manage early support for core software tools and assets developed during software projects.Translate requirements into functional specifications.Employ BDD (Behaviour-Driven Development) methodology in coding and software implementation.Align solutions with client needs, particularly in collaboration with the architecture team.Execute integrations with other applications and developed modules.Provide assistance with deployment and configuration management.

Join Our Innovative Team at Kaizen GamingKaizen Gaming, the dynamic force behind Betano, stands as one of the premier GameTech companies globally, serving 19 diverse markets. Our mission is to harness advanced technology to deliver unparalleled entertainment experiences to millions of satisfied customers.Our vibrant workforce consists of over 2,700 talented individuals from more than 40 nationalities spanning three continents.We take pride in being recognized among the Best Workplaces in Europe and are certified as a Great Place to Work in all our offices. At Kaizen Gaming, every day is a new opportunity to excel. Are you ready to Press Play on your career potential?About the RoleAs a Lead Data Scientist, you will spearhead our AI initiatives by analyzing complex datasets and developing machine learning models that drive our innovative AI products. The ideal candidate will possess an in-depth knowledge of machine learning algorithms and a proven track record of deploying ML/AI applications in production environments.Key Responsibilities:Convert product specifications into actionable machine learning tasks and pinpoint high-impact AI opportunities.Conduct comprehensive data analysis to unearth vital patterns and derive actionable insights.Execute exploratory data analysis (EDA) and feature engineering to facilitate the modeling process.Implement best practices in model selection, parameter tuning, and validation.Conduct comparative experiments to enhance model training.Analyze machine learning metrics to assess various solution options.Oversee the complete lifecycle of AI features, from data collection through model design to implementation and optimization in live environments.Mentor junior team members, sharing expertise and leading intricate projects.