We are looking for a passionate Backend Engineer to design and build scalable, highperformance distributed systems. In this role, you will be working on the core of our product,

handling high-throughput data processing, real-time caching strategies, and event-driven architecture. You will be instrumental in migrating our legacy systems to contemporary microservices using .NET Core and PostgreSQL, leveraging Redis for low-latency caching and Kafka for reliable asynchronous communication.

Key Responsibilities
Architecture & Development: Design, develop, and deploy robust microservices using .NET Core (C#) .
Data Persistence: Implement complex data models and optimize database queries using Entity Framework Core with PostgreSQL.
Caching Strategy: Architect caching layers using Redis to ensure sub-millisecond response times for frequently accessed data (distributed caching, session management).
Event-Driven Systems: Build producers and consumers for high-volume event streaming using Apache Kafka (handling exactly-once semantics and partition management).
Performance Tuning: Optimize SQL queries, LINQ expressions, and application performance to handle massive concurrent users.
Code Quality: Write clean, maintainable,



and testable code (Unit/Integration testing)

adhering to SOLID principles.
Collaboration: Work closely with DevOps to containerize applications

(Docker/Kubernetes) and manage CI/CD pipelines.

Required Technical Skills
.NET Core: 3+ years of experience with C# and .NET Core/.NET 8+. Deep understanding of ASP.NET Core Web API, Middleware, Dependency Injection, and

Async/Await patterns.
Entity Framework: Solid proficiency with EF Core (Code-First, Migrations,

LINQ, and performance tuning). Experience writing raw SQL for complex stored procedures is a plus.
PostgreSQL: Solid experience with PostgreSQL (or similar RDBMS). Ability to design normalized schemas, perform query execution plan analysis, and manage indexes.
Redis: Hands-on experience with Redis for caching, rate limiting, and distributed locking. Familiarity with Redis Stack (JSON, Search) is a bonus.
Kafka: Proven experience with Apache Kafka.

Preferred Qualifications (Nice to Have)
Experience with Docker and Kubernetes.
Familiarity with Monitoring tools (Prometheus/Grafana)
Experience with Event Sourcing or CQRS pattern

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