Backend Developer

• Work closely with Algorithm and NLP developers to integrate complex post-logic, leveraging the latest AI models and tools to enhance content personalization, tagging, and automation across our solutions.
• Design, develop, and maintain backend services and APIs with a focus on high performance, scalability, and low latency - powering live and recorded content experiences at scale.
• Design and implement event-driven systems that power real-time workflows across our platform, using technologies like Kafka or Azure Service Bus to enable scalable, decoupled communication between services.
• Work on real-time video and metadata processing pipelines that support our various products.
• Lead and contribute to cross-service orchestration mechanisms, implementing design patterns to ensure consistency and reliability across distributed systems.
• Collaborate with product and engineering teams to deliver customer-facing features that drive engagement and enhance the fan experience.
• Stay up to date with the latest in backend, video, and cloud technologies - and bring that knowledge back to level up the team.

• B.Sc. in Computer Science or a related field.
• 3+ years of hands-on experience developing scalable Backend systems in Cloud-based SaaS environments.
• Proficiency in C# or Java.
• Experience working with cloud platforms (advantage for Azure).
• Deep understanding of microservices architecture, orchestration, and pub-sub systems such as Kafka or Azure Service Bus.
• Familiarity with Kubernetes, CI/CD, and agile practices.
• Experience with SQL, and NoSQL databases like Redis.
• Excellent communication skills and a collaborative spirit.
• A proactive, learning-driven mindset - always looking to simplify, scale, and improve.

• Experience implementing ML/AI-powered backend logic, particularly in areas such as content recommendation or metadata classification.
• Deep knowledge of real-time video systems, orchestration frameworks, and content delivery pipelines.
• Experience working on complex, scalable products like live streaming, automated editing platforms, or broadcast tooling.
• Experience designing and implementing event-driven architectures in high-scale environments.
• Strong understanding of real-time messaging pipelines, stream processing, or near real-time data transformation.

• B.Sc. in Computer Science or a related field.
• 3+ years of hands-on experience developing scalable Backend systems in Cloud-based SaaS environments.
• Proficiency in C# or Java.
• Experience working with cloud platforms (advantage for Azure).
• Deep understanding of microservices architecture, orchestration, and pub-sub systems such as Kafka or Azure Service Bus.
• Familiarity with Kubernetes, CI/CD, and agile practices.
• Experience with SQL, and NoSQL databases like Redis.
• Excellent communication skills and a collaborative spirit.
• A proactive, learning-driven mindset - always looking to simplify, scale, and improve.

• Experience implementing ML/AI-powered backend logic, particularly in areas such as content recommendation or metadata classification.
• Deep knowledge of real-time video systems, orchestration frameworks, and content delivery pipelines.
• Experience working on complex, scalable products like live streaming, automated editing platforms, or broadcast tooling.
• Experience designing and implementing event-driven architectures in high-scale environments.
• Strong understanding of real-time messaging pipelines, stream processing, or near real-time data transformation.

Mploy