
Python Senior Developer
Bosch · Posted Oct 21
Mobility, industrial technology, consumer goods, and energy and building technology services
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About the role
Bosch is hiring a Python Senior Developer to design, build, maintain, and support scalable Python-based applications and services. The role emphasizes clean, maintainable, and testable Python code, data processing, concurrency, testing, debugging, and production support. The developer will collaborate with DevOps, QA, and Product Management and contribute across the software development lifecycle, including CI/CD, code reviews, and deployment.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- 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
- 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
- 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
- Python programming expertise
- Code quality and maintainability
- Debugging and troubleshooting
- Testing discipline
- Concurrency and performance awareness
- Deployment and operational awareness
- Collaboration and ownership mindset
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
Benefits and support
- Compensation and benefits are detailed in the job posting
About Bosch
The Bosch Group is a leading global supplier of technology and services, operating across mobility, industrial technology, consumer goods, and energy and building technology sectors. Driven by its purpose to create technology that is "Invented for life," the company leverages its expertise in hardware, software, and IoT to shape global trends such as automation, electrification, and artificial intelligence.
- Industry
- Automotive
- Company size
- 406225 employees
- Founded
- 1886
- Location
- Stuttgart, Germany
- Funding stage
- Private Company
Leadership
Chairman of the Board of Management
Deputy Chairman and Chief Financial Officer
Markus Heyn
Deputy Chairman and Chairman of Mobility
Frank Meyer
Member of the Board of Management
Recent coverage
The Economic Times
Bosch reports flat revenue at €91 billion in 2025; flags cautious 2026 outlook2026-04-16
Bosch Media Service
BCW 2026: Bosch pushes ahead with technologies for automation and robotics2026-06-10
Investing.com
Bosch on track to meet 2026 targets despite new challenges2026-09-21