Description :

JOB TITLE : Senior Python Developer

Location : Mumbai

Experience : 5-7 years

Problem-Solving Skills :

A Senior Python Developer is expected to go beyond fixing issues and solve problems at a system level.

- Requirement Analysis : Ability to break down complex business requirements into logical, technical components and choose the right architecture, data structures, and algorithms.

- Root Cause Analysis : Identify the actual source of issues rather than applying temporary fixeswhether its performance bottlenecks, data inconsistencies, or system failures.

- Efficient Algorithmic Thinking : Optimize code by selecting efficient algorithms and minimizing time/space complexity, especially in data-heavy or high-traffic applications.

- Design Trade-offs : Make informed decisions between scalability, performance, maintainability, and development speed.

- Edge Case Handling : Anticipate and handle boundary conditions, unexpected inputs, concurrency issues, and failure scenarios gracefully.

Debugging Skills :

- Debugging at a senior level involves precision, tools, and experience.

- Advanced Debugging Techniques : Use Python debuggers (pdb, IDE debuggers), logging, and stack trace analysis to quickly isolate issues in complex codebases.

- Error Handling & Exception Management : Implement robust exception handling to prevent crashes and provide meaningful error messages and fallback mechanisms.

- Performance Debugging : Identify slow queries, memory leaks, and CPU bottlenecks using profiling tools (cProfile, line_profiler, APM tools).

- Production Issue Resolution : Debug live issues with minimal downtime by analyzing logs, monitoring alerts, and reproducing problems in staging environments.

- API & Integration Debugging : Diagnose issues across REST APIs, third-party services, and microservices, including authentication errors, latency, and data mismatches.

Testing & Quality Assurance (Closely Linked) :

- Write unit, integration, and regression tests to prevent recurring bugs.

- Use testing frameworks like pytest or unittest.

- Ensure fixes dont introduce new issues.

Outcome of Strong Problem-Solving & Debugging :

- Faster issue resolution

- More stable and scalable applications

- Reduced production incidents

- Improved code quality and maintainability