Lsports is the leading global provider of sports data, dedicated to revolutionizing the industry through innovative solutions. We excel in sports data collection and analysis, advanced data management, and cutting-edge services like AI-based sports tips and high-quality sports visualization. As the sports data industry continues to grow, LSports remains at the forefront, delivering real-time solutions.

If you share our passion for sports and technology and have the drive to advance the sports-tech and data industries, we invite you to join our team. We are seeking a highly motivated Senior Principal Engineer to contribute to our mission.

About the team: Data Integrity Description

LSports Data Integrity is one of the main pillars of the company's offering and long-term strategy.

We are pushing the boundaries of real-time analysis, utilizing machine learning and artificial intelligence to find the delicate balance between low latency and data accuracy.

Responsibilities:

• Lead the design and architecture of our event-driven system and big data platforms, utilizing technologies such as .NET 6, Angular, Kafka, RabbitMQ, Amazon Redshift, Apache Spark, and AWS Glue, all running on the cloud.
• Evaluate new technologies and tools to enhance system efficiency and performance.
• Collaborate with cross-functional teams, including data scientists and product managers, to define and prioritize engineering initiatives aligned with business goals.
• Mentor and coach the group engineers, fostering a culture of innovation, collaboration, and continuous improvement.
• Ensure event-driven and big data platform systems comply with security and privacy regulations and best practices.
  
  

Requirements:

• Bachelor's or master's degree in computer science or engineering.
• 10+ years of software engineering experience, with a focus on building large-scale, distributed systems.
• Proficiency in .NET and Python.
• Strong knowledge of cloud computing, containerization, and Kubernetes.
• Excellent leadership, communication, and collaboration skills.
• Ability to thrive In a fast-paced, agile environment, managing multiple priorities and deadlines.
• Experience in designing and building event-driven and big-data platforms.
• Additional experience In a big data company or a data-driven organization is highly desirable.