Required Backend Developer
What youll do:
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.
What youll do:
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.
Requirements:
B.Sc. in Computer Science or a related field.
4+ 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.
Bonus Points:
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.
4+ 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.
Bonus Points:
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.
This position is open to all candidates.
