Real-Time .NET Backend Architect for AI-Driven Sports

Newxel

Warszawa

On-site

PLN 260,000 - 380,000

Full time

14 days+
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Job summary

Newxel is seeking a seasoned backend engineer to design and operate a high-performance, event-driven microservices platform for live sports video analysis. You will work across the stack, from low-latency services to production ML deployment pipelines, ensuring reliability under extreme traffic.

Join a team leveraging Azure cloud, Kafka, and Azure Service Bus to power real-time AI-based highlights. The role demands strong C# / .NET expertise and an aptitude for 24/7 scalability in a modern cloud

Qualifications

  • 4+ years of scaling distributed microservices and backend systems in production cloud environments.
  • Strong expertise in C# / .NET for high-throughput, low-latency applications.
  • Production experience with Kubernetes, SQL design, query performance tuning, and messaging systems (Kafka, Azure Service Bus).
  • Hands-on integration of AI-assisted engineering tools into daily workflows.

Responsibilities

  • Architect and operate low-latency, event-driven microservices that handle live event bursts with zero downtime.
  • Bridge ML models into production with resilient deployment pipelines and drift handling.
  • Own end-to-end service delivery from RFC design to zero-downtime deployment and telemetry.
  • Optimize pub/sub pipelines to reduce latency and boost throughput (Kafka, Azure Service Bus).
  • Debug distributed performance bottlenecks and scale Kubernetes compute for 24/7 media processing.
  • Collaborate with ML engineers to design systems that degrade gracefully during inference failures.

Skills

Distributed microservices
C# / .NET
Kubernetes
Kafka
Azure Service Bus
SQL

Tools

Kafka
Azure Service Bus
Kubernetes

Job description

Newxel is seeking a seasoned backend engineer to design and operate a high-performance, event-driven microservices platform for live sports video analysis. You will work across the stack, from low-latency services to production ML deployment pipelines, ensuring reliability under extreme traffic.

Join a team leveraging Azure cloud, Kafka, and Azure Service Bus to power real-time AI-based highlights. The role demands strong C# / .NET expertise and an aptitude for 24/7 scalability in a modern cloud

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