Newxel

.NET Backend Developer (NXJ-195)

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SeniorZdalnie·WarszawaFull-time

#427125·Dodano dwa miesiące temu·9

Źródło: Newxel

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Tech Stack / Keywords

.NETBackendAIKubernetes Microservices Azure KafkaCloud

Firma i stanowisko

We turn a live sports broadcast into personalized, ready-to-publish highlights automatically and at a scale no human editing team could match. The team owns the Indexing layer: the video-analysis pipeline and tagging engine that runs high-performance compute workloads on Kubernetes and spans 30+ backend microservices in an event-driven orchestration system. The system runs 24/7 with elastic scaling that can grow to very high capacity.

Wymagania

Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent practical experience.
5+ years of experience building, scaling, and operating backend systems in production cloud environments.
Proven ability to quickly understand and contribute to large existing systems.
Strong skills in at least one mainstream backend language; expertise in C#/.NET preferred; strong Java, Python, or Go engineers also welcome.
Real experience with distributed systems and microservices, including Kubernetes workloads.
Hands-on experience with AI coding tools such as Claude Code or Cursor.
Production experience with pub/sub and messaging systems.
Proficient in SQL, relational schema design, and performance-minded querying.
Methodical problem-solving approach with clear communication.
Willingness to own a service after deployment and openness to adapting design based on feedback.

Nice to have:

Understanding of AI and ML system behavior in production, including inference and evaluation.
Experience with Azure at scale covering networking, identity, and performance tradeoffs.
Experience in video, media, or ML-heavy pipelines.

Obowiązki

Design, build, and operate backend microservices and APIs at scale, prioritizing reliability, latency, cost, and operability.
Own projects end to end: clarifying requirements, proposing approaches, shipping incrementally, and handling rollout, monitoring, and iteration.
Collaborate with Data Scientists and ML Engineers to get models into production and design systems to handle model failure and drift.
Build event-driven flows on pub/sub infrastructure such as Azure Service Bus and Kafka.
Investigate throughput, latency, and stability issues under peak traffic and improve observability and runbooks based on findings.

Newxel

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