Description
As a Backend Engineer at our client, you will contribute directly to the core index layer, processing video indexing based on signals from the algorithm team. Your work will power the auto-tagging engine—the system that splits sports games into distinct events and accurately assigns start and end times to each action. You will balance deep feature development with critical problem-solving in a highly collaborative, AI-integrated environment.
Responsibilities
•Build and maintain the C#/.NET backend infrastructure that interprets algorithm signals to index videos and auto-tag live sports events
•Elevate the team by actively participating in design discussions, driving code review standards, and mentoring fellow developers
•Participate in a shared on-call pool (approximately one week every five weeks). While critical nighttime or weekend outages are rare, you must remain reachable and have access to a laptop to respond to operations team escalations
•Execute tasks independently, demonstrate strong problem-solving skills, and maintain prompt, proactive communication via Slack with the Israel-based team
Requirements
•Strong proficiency in C# and .NET, with 5+ years of commercial .NET experience
•Hands-on experience developing within Azure cloud environments
•Familiarity with and daily use of AI-assisted engineering tools (e.g., Claude, Cursor)
•Excellent interpersonal skills with a proven ability to mentor peers and lead design discussions
•High autonomy, independent task execution, and proactive communication habits for effective distributed collaboration
•Familiarity with event-driven messaging services such as Azure Service Bus or Kafka
•Working knowledge of SQL databases (general proficiency; specific engines do not matter)
•Basic familiarity with DevOps terminology and Kubernetes (operational expertise is not required)
•Willingness to work in a hybrid mode, 3 days from the office in Warsaw
Conditions
•Direct ownership of pure backend compute at scale—no full-stack dilution, focusing entirely on high-load microservices, indexing engines, and real-time processing
•High-autonomy environment with modern workflows where AI tools (Claude, Cursor) are embraced to eliminate boilerplate and keep focus on architecture
