Quality Engineering

Description:

Key Responsibilities:

• Lead and manage a team of quality engineers to develop and implement quality engineering practices and automated test suites.

• Oversee the quality engineering activities across multiple segments and domains, ensuring the quality and reliability of software products.

• Collaborate with cross-functional teams to identify and resolve quality issues, conduct code reviews, and propose solutions to mitigate quality-related risks.

• Establish and monitor quality standards, metrics, and leading practices to drive continuous improvement of software development processes and products.

• Develop and implement strategies for end-to-end testing and automation to enhance the overall quality and reliability of software products.

• Ensure that all quality engineering activities are aligned with the organization's goals and objectives.

Qualifications:

• Proven experience in quality engineering, automation, and testing, with a strong track record of leading and managing teams.

• In-depth knowledge of quality engineering practices, automated testing tools, and software development processes.

• Strong leadership and management skills, with the ability to inspire and motivate a team of quality engineers.

• Proven ability to manage external suppliers

• Excellent problem-solving and analytical skills, with the ability to identify and resolve quality issues effectively.

• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.

• Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred.

Job Requirements

• Bachelor's degree in Computer Science, Engineering, or related field.

• Minimum 10 years of experience in quality engineering, software testing, or software development.

• Minimum 5 years of experience in leading and managing quality engineering teams.

• Expert in test automation frameworks, automated testing, data quality testing, ETL testing, ML model testing, and API testing.

• Experience in designing and executing manual / automated tests.

• Ability to apply specific tools and techniques for Data and ML applications.

• Ability to implement and improve QMS processes using SDLC leading practices.

• Proficient in writing tools and automation scripts.

• Knowledge in developing cloud-based applications.

• Familiarity with black box and white box testing practices and open-source testing frameworks.

• Experience in building test automation and business use-case testing.

• Knowledge of CI/CD methods, DevSecOps, and Agile methodologies.

• Strong analytical, problem-solving, and communication skills.

• Attention to detail and quality orientation.

• Demonstrated leadership, coaching, and mentoring skills.

• Ability to influence and negotiate with stakeholders and partners.

• Ability to manage multiple projects and prioritize tasks effectively.

• Knowledge and understanding of the business needs, goals, and challenges of multiple segments and domains.

• Experience in working with the stakeholders, customers, and partners of multiple segments and domains.