Backend Developer (.Net)

Requirements

• Bachelor of Science in Computer Science or a related field
• Minimum of 3 years of hands-on experience in Backend Software as a Service (SaaS) Cloud environments
• Proficiency in one or more programming languages such as Java, Python, or C#
• Strong understanding of cloud computing concepts and experience with cloud platforms, with an advantage for Azure
• Strong understanding of pub-sub systems, such as Kafka or ServiceBus, and their application in distributed systems architecture
• Familiarity with microservices architecture and orchestration tools (e.g., Kubernetes)
• Experience with version control systems (e.g., Git), continuous integration/continuous deployment (CI/CD) pipelines, and agile software development methodologies
• Familiarity with backend frameworks and technologies such as .NET Core is advantageous
• Solid knowledge of SQL and database design principles, with experience in writing complex queries and optimizing database performance
• Proficiency in NoSQL databases, particularly Redis, with hands-on experience in data modelling, performance optimization, and troubleshooting
• Excellent problem-solving skills and the ability to thrive in a fast-paced, collaborative environment
• Effective communication skills and the ability to articulate technical concepts to non-technical stakeholders
• Passion for learning, self-motivation, and a proactive attitude towards tackling challenges and driving innovation

Will be a plus

• Experience with the Azure cloud platform
• Experience with video streaming technologies, protocols, and standards, such as HLS, MPEG-DASH, or WebRTC, is highly desirable
• Experience implementing ML/AI-driven features and enhancements in backend systems
• Proficiency in .NET and associated frameworks

Responsibilities

• Collaborate with cross-functional teams to understand requirements and translate them into scalable and efficient backend solutions.
• Design, develop, and maintain backend services and APIs for high performance video streaming and AI indexing, ensuring reliability, scalability, and performance.
• Implement best practices for code quality, testing, and documentation to ensure the maintainability and extensibility of backend systems.
• Optimize backend infrastructure and algorithms to enhance performance and minimize latency.-
• Troubleshoot and debug issues in production environments, providing timely resolutions to ensure uninterrupted service.
• Stay updated on emerging technologies and industry trends, cloud computing, and backend development, and apply them to improve our platform.
• Participate in code reviews, architectural discussions, and sprint planning sessions to drive continuous improvement and innovation.

What we offer

• Competitive salary range
• Medical insurance
• Paid vacation and sick leaves
• Top equipment kit, co-workings
• Collaborative and innovative work environment
• Career growth and development opportunities
• A chance to work with giants of the sports industry

About the project

Our partner leads the industry in generating dynamic sports videos for every digital destination. Their cutting-edge AI and Machine Learning technologies analyse live sports broadcasts from over 250 leagues and broadcast partners, including iconic names like the NBA, NHL, ESPN, FIBA and Bundesliga, to create personalized, short-form videos in real-time.

The solution empowers media rights owners to unlock new revenue streams and deliver a tailored fan experience across every digital platform. Join the high-profile Engineering team and discover the forefront of sports contents innovation.