we are looking for a 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.
