Sqa Manager

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ppDatacolor, a global leader in color management solutions, provides software, instruments and services to improve the precision, performance and efficiency of your color workflow.
We understand that details matter, and precise, consistent replication is essential.
For more information, visit bTo support our business, we are looking for a forward-thinking Software Quality Manager to lead our QA Engineering team through a pivotal transformation.
/b /p h3Position Summary /h3 pWe manage a complex ecosystem comprising critical legacy applications and cutting-edge new products.
We need a leader who can respect the stability of the past while aggressively architecting the future.
You are not just a manager; you are a technical architect of quality.
Your primary mandate is to minimize manual intervention by designing an intelligent, automated testing ecosystem.
You will spearhead the integration of Artificial Intelligence (AI) into our SQA workflows to generate test cases, optimize pipelines, and predict failures before they reach production.
/p h3Essential Duties and Responsibilities /h3 ul liLead, mentor, and grow a team of QA Engineers (Manual and Automation) working across diverse tech stacks.
/li liDefine the Quality Strategy for both Legacy Systems (maintenance, regression, stability) and Greenfield Applications (speed, agility, scalability).
/li liFoster a 'Quality as Code' culture, bridging the gap between developers and QA.
/li liArchitect and implement a robust automation framework that supports web, API, and backend testing.
/li liAI Integration: Champion the use of Generative AI and Machine Learning tools to create self-healing test scripts, automate test data generation, and perform visual regression testing.
/li liBuild and maintain 'Intelligent Pipelines' within our CI/CD environment (GitHub/Azure DevOps) that utilize AI to intelligently select and execute tests based on code changes (Test Impact Analysis).
/li liPartner deeply with Product Owners during the requirements phase.
You will help 'flesh out' complex use cases and acceptance criteria to ensure testability is baked in from day one.




/li liEnsure SQA team translates customer feedback and support tickets into actionable test scenarios.
Ensure the team understands not just how the software works, but why the customer uses it.
/li liUser Acceptance: Facilitate UAT phases that mimic real-world customer behaviors, ensuring our legacy updates and new features provide a seamless user experience.
/li /ul h3Release Management DevOps /h3 ul liPipeline Ownership: Manage the release process and ensure smooth CI/CD transitions from development to production.
/li liEnvironment Management: Oversee the stability and data integrity of staging, QA, and production environments in Azure.
/li /ul h3Metrics Reporting /h3 ul liDefine and track KPIs related to automation coverage, defect leakage, and release velocity.
/li liUtilize AI-driven analytics to identify patterns in defect data and predict potential hot spots in the codebase.
/li /ul h3Experience Qualifications /h3 ul liExperience: 7+ years in Software Quality Assurance with at least 3+ years in a people management or technical lead role.
/li liAutomation Expertise: Deep, hands-on experience building automation frameworks from scratch (using tools like Selenium, or Playwright).
/li liCoding Skills: Proficiency in at least one scripting language (Python, C#, or TypeScript).
You must be able to do code reviews for your team.
/li liAI/ML in QA: Proven experience or demonstrable knowledge in applying AI to QA (e.g., using LLMs for test case generation, Copilot for code assistance, or commercial AI testing tools).
/li liCI/CD Integration: expert-level understanding of integrating automated suites into build pipelines (GitHub Actions, Azure DevOps).
/li /ul h3Preferred Qualifications /h3 ul liExperience managing QA for Monolithic to Microservices migrations.




/li liFamiliarity with Containerization (Docker, Kubernetes) and cloud environments (AWS/Azure).
/li liExperience implementing Test Impact Analysis (TIA) to reduce regression cycle times.
/li /ul h3The ideal candidate profile /h3 ul liThe Hybrid: You are comfortable reading C++/Legacy code logs in the morning and writing Python scripts for an AI agent in the afternoon.
/li liThe Automator: You believe that if a test has to be run twice, it should be automated.
/li liThe Innovator: You are constantly researching how LLMs (Large Language Models) can revolutionize the SDLC and are eager to implement these findings.
/li /ul h3Location /h3 pThis role is a hybrid role, based in our Reggio Emilia office, Italy.
/p h3Our Core Values /h3 pLearn, understand and live the Datacolor Core Values of Customer Focus, Execution, Ownership, Teamwork, Learning, Ethics, and Passion.
/p h3Our Core Competences /h3 pWe believe Communication, Adaptability and Problem Solving are core competencies that all our employees consistently demonstrate.
/p h3Your Benefits /h3 pDatacolor is committed to rewarding your dedication with an attractive compensation package.
We offer an environment that fosters personal and professional growth, where your ideas matter.
Our flat hierarchy ensures easy access to everyone, promoting collaboration and innovation.
/p h3Interested /h3 ul liWant to work in a company focused on innovative color management solutions?
/li liLooking for flexibility and autonomy in a global and diverse company?
/li liWant to be able to make daily connections with people all over the globe?
/li liDo you want to work in an open and informal atmosphere where your personal input is valuable?
/li /ul pDo not hesitate and join Datacolor if the answer is yes!
Apply through bDatacolor is an Equal Opportunity Employer.
/b Notice: Datacolor never asks for personal or financial information via social media and does not contact candidates through private messages on messaging platforms.
All official recruitment communications are conducted through our corporate email addresses and career website.
/p /p #J-*****-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7atetl