Software Quality Assurance Manager
1 month ago
At Thermo Fisher Scientific, we are seeking a highly skilled Software Quality Assurance Manager to join our team. The successful candidate will be responsible for ensuring the quality of our software products, from development to deployment. Key responsibilities include:
Quality Assurance Planning:
- Develop and implement a comprehensive QA plan, covering testing strategies, schedules, and resource allocation.
- Set quality benchmarks and metrics to assess QA processes' effectiveness.
Test Management:
- Be responsible for the development and execution of test plans, test cases, and test scripts, ensuring alignment with project requirements.
- Handle both manual and automation testing processes to identify and resolve defects.
Automation and Tools:
- Develop and maintain automated test scripts to enhance testing efficiency.
- Select and evaluate appropriate testing tools to strengthen QA capabilities.
Defect Tracking and Resolution:
- Monitor, track, and manage defects and issues reported during testing.
- Collaborate with development teams to ensure timely resolution of defects.
Compliance and Standards:
- Ensure software products align with industry standards, regulations, and internal quality guidelines, including ISO standards like QMS & ISMS, GxP, and HIPAA compliance.
- Stay ahead of with industry trends and emerging technologies in QA.
Reporting and Documentation:
- Generate regular reports on QA metrics, testing progress, and quality status for customers.
- Document QA processes, test results, and findings for continuous improvement.
Customer Focus:
- Ensure the final software product meets customer expectations and requirements.
- Collaborate with customer support and product management to resolve quality-related customer issues.
Risk Management:
- Identify potential risks and issues in the software development lifecycle and develop strategies to mitigate them.
Continuous Improvement and Innovation:
- Continuously review and refine QA processes to improve efficiency and quality outcomes.
- Foster a culture of quality and innovation within the team and the broader organization, including adopting internal Generative AI capabilities.
Requirements:
Mandatory Skills, Knowledge, and Experience:
- Proficiency in software testing methodologies, both manual and automation
- Solid understanding of QA tools and technologies (Selenium, JIRA, TestNG, QTP)
- Experience with programming languages (Java, Angular, Python) and scripting
- Familiarity with SDLC and agile methodologies
- Understanding of CI/CD pipelines and DevOps practices.
QA Process and Methodology:
- Deep understanding of QA processes, frameworks, and standards
- Experience in developing and implementing QA strategies, plans, and test cases
- Knowledge of various testing types (functional, performance, security, etc.)
Management and Leadership:
- Proven experience in leading QA teams
- Strong leadership skills, with the ability to mentor and develop team members
- Excellent project management skills, including planning, prioritizing, and coordinating tasks
Problem-Solving and Analytical Skills:
- Strong analytical abilities to identify issues, root causes, and potential solutions
- Effective conflict management and resolution skills
Communication and Collaboration:
- Excellent verbal and written communication skills
- Ability to convey sophisticated technical information to non-technical collaborators
- Strong collaboration skills for working with multi-functional teams
Experience:
- Extensive experience in software quality assurance, including hands-on testing and QA management
- Experience in various domains and technologies, adapting Quality processes to different project needs
Continuous Learning:
- Commitment to staying updated with the latest QA tools, trends, and standard methodologies
Compliance:
- Experience in implementing QMS (ISO 9001:2015), ISMS (ISO 27001), and GxP standards
- Skilled in conducting gap analyses, providing coaching, and performing audits
Education:
- A bachelor's degree in computer science, engineering, or a related field (or equivalent experience)
Metrics:
- Experience in understanding and reporting metrics related to quality, code analysis, and configuration tools such as SonarQube, Semmle, NetSparker, Qualys, and others
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