Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

Job Description

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.

Qualifications

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
Applying object-oriented design appropriately

Logging and Debugging Techniques

Implementing structured logging
Debugging code efficiently using appropriate tools and techniques
Root cause analysis for application issues

Clean Code Principles and Code Maintainability

Writing readable, modular, extensible, and maintainable code
Code refactoring, separation of concerns, naming conventions, and documentation

Unit Testing, Integration Testing, and Code Coverage

Writing effective unit and integration tests
Familiarity with test frameworks and mocking
Understanding code coverage and quality gates

Docker (Knowledge)

Basic understanding of containerization
Ability to work with Dockerized applications and development environments

CI/CD Pipeline Knowledge

Understanding of build, test, and deployment pipelines
Exposure to automated testing and release workflows

Deploying to Production and Handling Production Issues (Knowledge)

Basic understanding of application deployment processes
Monitoring, troubleshooting, incident handling, and production support awareness

Additional Skills / Preferred

Qualifications

Experience in developing backend services, automation tools, APIs, or data-processing applications using Python
Familiarity with Linux/Unix environments and shell scripting
Understanding of software design patterns and code review practices
Exposure to version control systems such as Git
Knowledge of application monitoring, observability, and logging ecosystems is a plus
Familiarity with cloud platforms or deployment environments is an advantage
Awareness of security, performance optimization, and scalability best practices

Experience &

Qualifications

6–8 years of hands-on experience in Python development
Bachelor’s or Master’s degree in Computer Science, Information Technology, Electronics, or related field
Strong experience in designing and delivering production-quality software
Good understanding of software development lifecycle, testing, debugging, and deployment processes

Desired Candidate Profile

The ideal candidate should:

Have strong problem-solving and analytical skills
Be comfortable working independently as well as in collaborative agile teams
Demonstrate ownership in delivering high-quality software
Be proactive in identifying issues and proposing solutions
Have good communication skills and the ability to articulate technical concepts clearly
Be capable of handling production issues with a calm, structured, and root-cause-driven approach

Key Competencies

Python programming expertise
Code quality and maintainability
Debugging and troubleshooting
Testing discipline
Concurrency and performance awareness
Deployment and operational awareness
Collaboration and ownership mindset

Python Senior Developer

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