Senior / Lead Dotnet Developer

We are looking for a highly skilled .NET Backend Developer with a strong focus on performance optimization, memory profiling, and SQL troubleshooting. This role goes beyond standard API development, requiring an analytical, debugging-first mindset to identify, isolate, and resolve performance bottlenecks across the system. You’ll work closely with DBAs, backend developers, and observability teams to ensure our application performs optimally at scale.

Key Responsibilities :

Analyze and improve performance of existing backend services developed in .NET / .NET Core.

Conduct memory and CPU profiling using tools like dotTrace, dotMemory, or similar.

Full-Stack Development : Collaborate with cross-functional teams to understand project requirements and translate them into technical specifications. Develop end-to-end applications using the Microsoft .NET framework, .NET Core, and .NET Standard, integrating front-end technologies like HTML, CSS, and JavaScript

Database Integration : Design, develop, and maintain SQL Server databases, ensuring efficient data storage, retrieval, and manipulation. Implement data caching solutions using Redis and Elastic ache to enhance application performance.

API Development : Build robust and scalable APIs (REST and / or SOAP) to facilitate seamless communication between various components of the application and external systems.

Version Control & Collaboration : Utilize Git for version control, branching, and code merging, ensuring smooth collaboration within the development team and adherence to Agile development methodologies.

Test-Driven Development : Implement unit tests and participate in automated testing processes to ensure the reliability and quality of developed code. Perform thorough testing and validation of software modules before deployment

Perform root cause analysis (RCA) for slowness or performance degradation issues.

Evaluate and optimize multi-threaded code, manage synchronization, locking mechanisms, race conditions, deadlocks, and ensure thread safety.

Utilize asynchronous programming patterns effectively in real-world applications.

Collaborate with DBAs to troubleshoot and optimize complex SQL queries and stored procedures.

Read and interpret SQL Execution Plans, identify missing indexes, and suggest indexing strategies.

Use tools like SQL Profiler, DataDog, OpenTelemetry, etc., to monitor and analyze application behavior.

Create detailed analysis documentation and provide actionable optimization suggestions.

Lead or participate in code reviews with a focus on performance and memory usage.

Work with production support teams to debug issues not reproducible locally and implement proper logging / tracing mechanisms.

Must-Have Skills :

8+ years of strong experience on .NET / .NET Core with focus on backend development.

Solid understanding of object-oriented programming (OOP) principles and design patterns.

Proven experience in performance profiling and memory management.

Practical understanding of multi-threading, asynchronous programming, and concurrency control.

Proficiency in writing and optimizing complex SQL queries.

Unit Testing Experience

Experience with APM tools like DataDog, New Relic, or similar.

Familiarity with logs, metrics, and traces for production debugging.

Ability to structure troubleshooting approaches and isolate performance issues across layers (UI, backend, DB).

Hands-on experience with debugging in staging / production environments.

Nice-to-Have Skills :

Experience with job engine performance tuning and redesign.

Exposure to OpenTelemetry or other observability standards.

Knowledge of distributed system design and understanding of latency tradeoffs.

Familiarity with CI / CD pipelines and performance benchmarking tools.

Candidate Traits :

Problem Solver : Enjoys diagnosing and solving complex performance issues.

Curious & Analytical : Not satisfied with surface-level answers; digs deep.

Self-Starter : Can pick up new tools and technologies (e.g., profiling tools) with minimal hand-holding.

Collaborative : Works well with DBAs, architects, and DevOps to get to the root of the problem.

Performance Mindset : Sees "performance as a feature" and takes pride in making systems faster and leaner.