Python Senior Developer

Bosch · Bangalore, India · full-time · On site · July 29, 2026

Sign up to apply
Your first one is free
Posted July 29, 2026 · Read from Bosch
Why a CV for this job?

94% of employers say their filters drop qualified candidates whose CV does not match the ad's exact criteria (Harvard Business School, 2021).

  • They see what they asked for, first. Your experience that matches the ad leads, in the ad's own words, so someone skimming finds it in seconds.
  • It gets past the software. Many larger employers use software that ranks CVs by how closely they match the ad, often before anyone reads them.
  • In the language of the ad. An ad written in Spanish gets a CV in Spanish, even when yours is in Portuguese.
  • Your facts, nothing invented. Your own experience, reordered and reworded. What the ad wants and your CV does not show is listed for you to add, only if it is true. You check it before you send it.
See an example

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.

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

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

Core Python Expertise

The candidate must be proficient in the following Python topics:

  • File I/OReading/writing text, CSV, binary, and large files efficientlyFile handling best practicesWorking with file paths and context managers
  • String OperationsString manipulation, formatting, parsing, regex basicsEfficient string processing and validation techniques
  • Command Line Arguments Validation and ParsingParsing and validating command-line inputsBuilding CLI tools/utilities using Python libraries
  • JSON File HandlingReading, writing, parsing, validating, and transforming JSON dataError handling for malformed JSON and schema awareness
  • Data Structures and Performance CharacteristicsStrong understanding of list, dict, set, tupleKnowledge of when to use each structureAwareness of performance implications, lookup times, mutability, and memory considerations
  • Exception Handling and Custom ExceptionsStructured exception handlingCreating meaningful custom exceptionsWriting resilient and fault-tolerant code
  • Iterators, Generators, and ComprehensionsBuilding memory-efficient and pythonic solutionsGenerator expressions, lazy evaluation, and iteration patterns
  • Functions, Decorators, and Context ManagersAdvanced function usage, variable arguments, closuresReusable decoratorsImplementing and using context managers effectively
  • Modules, Packages, and Virtual EnvironmentsPython packaging conceptsCode organization into modules/packagesDependency 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

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
Employer
Bosch
Location
Bangalore, India · On site
Contract
full-time