Python Automation Developer (RARR Job 6236)

Application Development

• Design, develop, and maintain Python applications running on Ubuntu, Windows, and Dockerized environments.
• Implement scalable modules to handle, validate, parse, and manage large JSON datasets, especially Modbus device templates.
• Understanding of various IIOT communication protocols such as Modbus TCP & RTU, MQTT, OPCUA, etc..
• Collaborate with UI/UX teams to integrate backend services with modern frontend applications.
• Ensure application performance, scalability, and reliability.

Code Quality & Best Practices

• Follow internal coding guidelines, architecture patterns, and documentation standards.
• Write clean, maintainable, and modular Python code using OOP principles.
• Use pytest or equivalent frameworks for writing unit and integration tests.
• Participate in peer code reviews and architecture discussions.

CI/CD, Deployment & DevOps Alignment

• Build, manage, and optimize Jenkins CI/CD pipelines for automated builds, testing, and deployments.
• Develop and debug Dockerfiles, container images, and multi-stage builds.
• Work with teams to maintain environments, optimize container performance, and resolve deployment issues.

Data Handling & Device Template Management

• Manage device configuration repositories involving Modbus and other protocol-based templates.
• Implement validation rules, schema checks, and transformation logic for large configuration datasets.
• Contribute to enhancements in how configuration and metadata are stored, indexed, and accessed.

Cross-Functional Collaboration

• Work with UI/UX designers to ensure seamless integration between backend logic and UI components.
• Collaborate with QA, DevOps, product management, and platform engineering teams.
• Translate functional requirements into high-quality technical implementations.

Key Skills & Experience:

• 4+ years of professional Python application development experience.
• Strong knowledge of:
  • Object-Oriented Programming (OOP) in Python
  • JSON parsing, schema validation, and data manipulation
  • Python advanced concepts (decorators, generators, multiprocessing, async programming preferred)
  • Knowledge of Design Pattern
• Experience with:
  • pytest or other Python testing frameworks
  • Version control using Git
• Hands-on experience with:
  • Jenkins CI/CD pipelines
  • Docker build process, debugging, image optimization
  • Linux (Ubuntu) and Windows runtime environments
• Familiarity with UI/UX workflows and frontend integration patterns.