Quality Engineering Lead

Project Role : Quality Engineering Lead
Project Role Description : Leads a team of quality engineers through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Applies business and functional knowledge to develop end-to-end testing strategies through the use of quality processes and methodologies. Applies testing methodologies, principles and processes to define and implement key metrics to manage and assess the testing process including test execution and defect resolution.
Must have skills : Generative AI
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Quality Engineering Lead, a typical day involves guiding a team of quality engineers by coordinating multi-disciplinary planning and integrating various ecosystem components to enhance delivery speed and ensure high-quality standards throughout the application lifecycle. This role requires overseeing the development and implementation of comprehensive testing strategies that align with business and functional requirements. The day also includes defining and monitoring key performance indicators to evaluate testing effectiveness, managing test execution, and facilitating defect resolution to maintain product excellence and reliability.

Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the development and continuous improvement of testing frameworks and processes to enhance quality assurance practices.
- Foster a collaborative environment that encourages knowledge sharing and professional growth within the team.
- Monitor project progress and quality metrics to ensure alignment with organizational goals and timelines.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Generative AI.
- Strong understanding of quality engineering principles and testing methodologies.
- Experience in designing and implementing end-to-end testing strategies across software development lifecycles.
- Ability to analyze and interpret key quality metrics to drive process improvements.
- Skilled in coordinating cross-functional teams to ensure seamless integration and delivery.
- Excellent problem-solving skills with a focus on delivering practical and scalable solutions.

Additional Information:
- The candidate should have minimum 7.5 years of experience in Generative AI.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.

15 years full time education

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