Backend Engineer

5-7 Years

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Early Applicant

Job Description

Key Responsibilities

Design and implement scalable backend services and APIs using .NET Core / C#
Build and maintain real-time data processing pipelines for live sports events
Build event-driven systems for ingesting, transforming, and serving sports data
Design and optimize database schemas, queries, and data models (PostgreSQL)
Implement caching strategies to ensure low-latency data delivery during peak load
Build background services and workers for data ingestion from multiple sports data providers
Implement API endpoints with appropriate security, rate limiting, and documentation
Contribute to system architecture decisions and technical design reviews
Write clean, testable, well-documented code with appropriate test coverage
Participate in on-call rotations for live match event support

Technical Requirements

Core Backend Skills

5+ years of professional experience in .NET / C# development
Strong proficiency in ASP.NET Core Web API development
Experience with Entity Framework Core or similar ORM
Solid understanding of RESTful API and Graphql design principles
Experience with relational databases (PostgreSQL preferred, SQL Server acceptable)
Understanding of asynchronous programming patterns and Task-based concurrency
Experience with dependency injection, middleware pipelines, and .NET hosting model
Familiarity with background services / hosted services in .NET

Data & Messaging

Experience with message queues or event-driven architectures (e.g.Kafka, RabbitMQ, or similar)
Understanding of caching technologies (Redis, in-memory caching)
Experience with database performance tuning and query optimization
Familiarity with data pipeline patterns, ETL, CDC, or streaming architectures

Infrastructure & DevOps

Nice to Have

Experience with event sourcing or CQRS patterns
Familiarity with real-time communication (SignalR, WebSockets, Server-Sent Events)
Experience with sports data, betting platforms, or similar high-throughput real-time systems
Exposure to Python for data engineering or analytics workloads
Experience with time-series data or OLAP databases (e.g. ClickHouse)
Familiarity with Kubernetes or container orchestration
Experience with performance profiling and load testing .NET applications
Contributions to open-source projects or a visible technical portfolio