HUDstats
How would you explain HUDstats to your friend in 3 sentences?
HUDstats is a Netherlands-based esports data and analytics company specializing in AI-driven solutions that transform live gaming data into engaging narratives. Their proprietary technology, Advanced Video Analysis (AVA), enables real-time data collection and visualization, enhancing fan engagement and tournament storytelling. By partnering with organizations like LaLiga and the Royal Dutch Football Federation (KNVB), HUDstats has established itself as a leader in the esports industry.
HUDstats - joburi disponibile
🔍 Check out the active job openings at HUDstats
👩💻 How much does HUDstats pay?
HUDstats is currently offering a position for a Remote Backend Engineer with a competitive salary range of 2,000 to 2,500 RON per month. This role presents an exciting opportunity for candidates looking to join a dynamic team in a remote work setting while contributing to innovative projects. The salary reflects the company's commitment to attracting skilled professionals in the tech industry, providing a solid foundation for career growth and development within the organization.
🛠️ Tech stack & Development process at HUDstats
Technologies that we use
ClojuremicroservicesPostgreSQLMySQLKafkaRabbitMQAWSRedisGrafanaPrometheusKubernetesGitHubLinuxPyTorchGit
HUDstats employs a modern and robust tech stack focused on high-performance and scalable solutions. Their technology repertoire includes functional programming with Clojure, which powers their microservices architecture, allowing for efficient and maintainable service development. They utilize PostgreSQL and MySQL for data storage, alongside distributed messaging systems such as Kafka and RabbitMQ to facilitate real-time data processing and communication between services. Cloud infrastructure is handled through AWS, ensuring scalability and reliability.
In addition, HUDstats leverages Redis for caching, Grafana and Prometheus for monitoring and visualization, and Kubernetes for container orchestration, enhancing their deployment efficiency. Version control is managed through GitHub, and their development environment is based on Linux. They also incorporate PyTorch, indicating a focus on machine learning capabilities within their projects.
Candidates are likely expected to have expertise in these technologies, particularly in cloud services, microservices architecture, database management, and development operations, along with a strong understanding of data processing frameworks and monitoring tools. Experience with Clojure or functional programming principles would be a significant advantage.