Responsibilities:

• Develop and maintain Python-based software and automation solutions used in the configuration, setup and verification of advanced electron microscopy systems;
• Implement new functionality and improve existing automation workflows based on technical and functional requirements;
• Develop and maintain automated tests to ensure software quality, reliability and correct system behavior;
• Investigate, troubleshoot and resolve software defects and automation failures;
• Write clean, maintainable and well-structured Python code following object-oriented programming principles and established coding standards;
• Participate in code reviews and contribute to improving the overall quality of the codebase;
• Work with Git and follow established software configuration management and development processes;
• Collaborate closely with other software developers, QA engineers and domain experts within an international engineering environment;
• Participate in Agile/Scrum activities, including refinement, planning, daily meetings and retrospectives;
• Gradually develop an understanding of the complex systems and domain in which the automation software operates;
• Maintain relevant technical documentation and contribute to knowledge sharing within the team.

Requirements

Experience:

• 3+ years of experience in programming in Python;
• Experience in writing automated tests in Python;
• Strong OOP knowledge;
• Understanding of the common software development processes;
• Good understanding of software configuration management and experience with Git.

Nice to have, depending on the team:

• Python Science - SciPy, NumPy, Pandas, MatplotLib;
• Testing - PyTest;
• Static Checks - Ruff, MyPy;
• UI - PySide;

Personal skills:

• Team player;
• Robust personality;
• Ability to work independently in a dynamic environment;
• Strong analytic view combined with pragmatic attitude (flexibility);
• Open communication attitude: active listening and giving feedback;
• Excellent knowledge of English (both written and verbal) is a must;
• Work experience in a multinational environment is an advantage.