Python Senior Developer

Roles & Responsibilities : We are looking for an experienced  Python Senior Developer  with  8+ years of hands-on development experience  to design, build, maintain, and support scalable Python-based applications and services. The ideal candidate should possess strong fundamentals in Python programming, software engineering best practices, debugging, testing, and production support, along with working knowledge of modern deployment and DevOps practices. This role requires proficiency in writing clean, maintainable, and testable code, solving production issues, and contributing across the software development lifecycle—from design and implementation to deployment and monitoring. Key Responsibilities • Design, develop, enhance, and maintain robust Python applications, services, scripts, and automation solutions. • Write clean, efficient, modular, and reusable Python code following coding standards and best practices. • Work extensively with file handling, data processing, JSON parsing, and command-line utilities. • Implement and optimize data structures, algorithms, and application logic for performance and scalability. • Build reliable and maintainable systems using OOP principles, functional constructs, decorators, iterators, and generators. • Develop multithreaded, asynchronous, or multiprocessing-based solutions where required. • Create comprehensive unit tests and integration tests, and ensure adequate test coverage. • Troubleshoot application issues, debug complex problems, and support production deployments. • Collaborate with cross-functional teams including DevOps, QA, Product Management, and other engineering teams. • Participate in CI/CD processes, code reviews, release management, and deployment activities. • Contribute to technical documentation, coding guidelines, and engineering best practices.   Required Technical Skills Core Python Expertise The candidate must be proficient in the following Python topics: • File I/O • Reading/writing text, CSV, binary, and large files efficiently • File handling best practices • Working with file paths and context managers • String Operations • String manipulation, formatting, parsing, regex basics • Efficient string processing and validation techniques • Command Line Arguments Validation and Parsing • Parsing and validating command-line inputs • Building CLI tools/utilities using Python libraries • JSON File Handling • Reading, writing, parsing, validating, and transforming JSON data • Error handling for malformed JSON and schema awareness • Data Structures and Performance Characteristics • Strong understanding of  list, dict, set, tuple • Knowledge of when to use each structure • Awareness of performance implications, lookup times, mutability, and memory considerations • Exception Handling and Custom Exceptions • Structured exception handling • Creating meaningful custom exceptions • Writing resilient and fault-tolerant code • Iterators, Generators, and Comprehensions • Building memory-efficient and pythonic solutions • Generator expressions, lazy evaluation, and iteration patterns • Functions, Decorators, and Context Managers • Advanced function usage, variable arguments, closures • Reusable decorators • Implementing and using context managers effectively • Modules, Packages, and Virtual Environments • Python packaging concepts • Code organization into modules/packages • Dependency management and use of virtual environments • Threading, Async, and Multiprocessing • Practical knowledge of concurrency models in Python • Understanding use cases, trade-offs, and limitations • Experience with asynchronous programming and process-based execution • Basics of OOP • Classes, objects, inheritance, encapsulation, abstraction, polymorphism