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Test Engineer (R&

Pubblicato il 12-10-2026 - Datalogic in Monte San Pietro

R&D; Test Engineer performing as a technical expert in the design, development and maintenance of automated testing solutions to ensure the quality, reliability, and performance of our products.

The R&D; Test Engineer combines strong software development expertise with quality engineering practices and requires working closely with Developers, Product Managers/PMO, DevOps engineers, and QA teams.

Key Responsibilities:

- Analyze business and technical requirements to define comprehensive test strategies. Ensure software meets quality, reliability, usability, and performance requirements;

Design, develop and maintain automated test infrastructure/frameworks that improve productivity and quality. Improve test coverage through automation of functional, integration, regression and end-to-end test.
- Apply software engineering best practices, including coding standards, version control, and design patterns. Contribute to improving application testability and maintainability.
- Integrate automated tests into CI/CD pipelines. Support continuous integration and continuous testing initiatives. Improve release readiness through quality gates and automated validation processes.
- Collaborate in design, code reviews and inspections to ensure the testability of code and adherence to coding standards that facilitate automated testing.
- Create and maintain documentation related to automated test cases, test plans,



and test results to support knowledge sharing and transparency.

Requirements & Specific Skills:

Education: Bachelor's degree in Software Engineering, Computer Science, Information Technology, or related field

Experience: Around 1 to 3 years of experience in software automation testing, or software development lifecycle (SDLC)

Skills preferred

- Experience with API testing, Java, Python, PlayWright, TypeScript, etc.,
- Experience in Linux, Git, JFrog, and/or CI/CD
- Knowledge of using AI-assisted coding and testing tools
- Strong analytical, debugging, and problem-solving skills
- Experience with electronics or industrial protocols is highly desirable
- Knowledge of Large Language Models (LLMs), Generative AI, and AI testing methodologies
- Planning and time management.

What We Offer:

The opportunity to join a leading international Group, recognized for its financial strength, innovation, and sustained growth.
- Variable compensation
- Welfare and benefits package

The final compensation package (including base salary and potential variable incentives) will be defined based on the candidate's experience, technical expertise, and overall fit for the role.

Equal Opportunity Statement:

This vacancy is open to candidates of all genders. Personal data will be processed exclusively for recruitment purposes, in compliance with applicable privacy and data protection regulations.

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