C# Backend Developer

Ace your C# Backend Developer interview

Practice real backend interview questions — .NET, APIs, databases, multithreading, and system design. Get your personalized interview action plan.

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What you will achieve

Backend outcomes that transform your interview performance

Master API and service design

Explain REST, versioning, idempotency, and resiliency patterns with clarity.

Show strong data fundamentals

Choose isolation levels, model aggregates, and write efficient queries.

Handle concurrency confidently

Use queues, batching, throttling, and proper synchronization primitives.

Communicate system design trade-offs

Discuss scaling, observability, failure modes, and operational readiness.

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Backend Readiness Score80%

Solid knowledge of ASP.NET Core and EF Core. Some gaps in resiliency patterns and observability.

ASP.NET Core

85%

Data & Transactions

82%

Concurrency

78%

Resiliency & Observability

72%

Take the Backend Readiness Test

In less than 5 minutes, you'll get:

Backend Interview Readiness Score

API design and data modeling insights

Concurrency and resiliency assessment

Action plan to improve critical backend skills

Start Test

Why backend candidates improve fast

A method focused on clarity and reliability

Step 1

Real interview simulation

Practice API and system design scenarios.

Step 2

AI feedback that matters

Improve architecture, data, and resiliency answers.

Step 3

Personalized scripts

Tailored to your experience and target role.

Questions you will practice

Real C# Backend Developer interview questions you're likely to be asked

Design a high-throughput REST API in ASP.NET Core with proper validation, authentication, and rate limiting.

ASP.NET Core

ASP.NET Core

Explain EF Core change tracking and when to use AsNoTracking for read-heavy endpoints.

EF Core

EF Core

How would you implement idempotency for POST endpoints to avoid duplicates in distributed systems?

System Design

System Design

Redis

Redis

Describe strategies to handle concurrency in .NET when processing background jobs (queues, batching, throttling).

.NET

.NET

Queues

Queues

How do you choose SQL isolation levels for order placement and why?

SQL

SQL

Sketch a simple microservice architecture with API gateway, auth, services, and async communication.

System Design

System Design

ASP.NET Core

ASP.NET Core

Tech stack covered

Tailored practice for backend and system design

Questions matched to your backend stack

Real-world API and data scenarios

Performance, resiliency, and architecture patterns

Focus on shipping reliable services

.NET & Frameworks

.NET

.NET

ASP.NET Core

ASP.NET Core

EF Core

EF Core

C#

C#

Data & Storage

SQL

SQL

NoSQL

NoSQL

Redis

Redis

Queues

Queues

Architecture & Resiliency

System Design

System Design

Circuit Breaker

Circuit Breaker

Retry & Backoff

Retry & Backoff

Logging/Tracing

Logging/Tracing

Testing & Quality

Unit Tests

Unit Tests

Integration Tests

Integration Tests

Contract Tests

Contract Tests

Who this is for

Designed for experienced backend engineers

C# Backend Developers preparing for new roles or promotions
Engineers interviewing for Senior, Lead, or Staff backend positions
.NET specialists facing API, data, and system design rounds
Developers moving from mid-level to senior with stronger stories
Candidates targeting product companies with distributed backends
Engineers confident in basics but improving architectural reasoning

See the type of backend feedback you'll get

Precise, actionable insights about APIs, data, and resiliency

Question

How would you improve performance for a read-heavy endpoint?

Candidate's answer

I'd add in-memory caching and increase DB resources.

AI feedback

Consider distributed caching (e.g., Redis) with appropriate TTLs to reduce DB pressure across instances. Profile the endpoint first (logging, tracing, metrics) to locate bottlenecks. Use pagination, projection (select only needed fields), and AsNoTracking for EF Core. For heavy serialization, optimize DTOs and consider compression for large payloads.

Question

How would you design a resilient external service call in .NET?

Candidate's answer

I'd add retries with a longer timeout.

AI feedback

Retries alone can amplify failures. Add exponential backoff, jitter, and a circuit breaker to prevent cascading issues. Combine with timeouts and fallback paths. Log structured context (correlation IDs) and emit metrics to observe error rates and latency.

Choose your interview preparation plan

Everything you need to stand out and get the job

Monthly Plan

7.00
USD/ month

Consistent improvement with structured interview coaching and personalized practice.

Includes:

Full access to all simulations

Unlimited answer reviews

CV-based answer optimization

Confidence score tracking

Salary negotiation preparation

Start Monthly Plan

Advanced Plan

Custom pricing

For people seeking long-term career growth and comprehensive interview preparation.

Includes:

Custom interview roadmap

New features & simulations added regularly

Priority support

Early access to new tools

Contact us

FAQ

Senior and lead backend roles focused on .NET, APIs, data modeling, concurrency, resiliency, and system design.

Yes. You'll practice SQL vs NoSQL decisions, isolation levels, EF Core tips, caching, and data consistency patterns.

You get scenarios on retries, circuit breakers, timeouts, fallbacks, logging, tracing, and metrics to keep services reliable.

You can emphasize APIs, databases, or system design, and repeat answers with instant AI feedback anytime.

Ready to ace your backend interview?

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