Position: Senior QA / Team Lead QA
Company: IntelliBoard
Experience required: 3y
English level: upper

IntelliBoard is looking for an experienced Senior/Lead QA Engineer to oversee our quality assurance team. You will be required to oversee all aspects of software and product testing within the company.

IntelliBoard is looking for an experienced Senior/Lead QA Engineer to oversee our quality assurance team. You will be required to oversee all aspects of software and product testing within the company. This may include developing test strategies, drawing up test documents, identifying faults, and reviewing QA reports.

To ensure success as a senior QA Engineer, you should have extensive experience in analytics, high-level problem-solving skills, and the ability to project manage. A top-notch senior QA engineer ensures the smooth running of the QA department and ultimately customer satisfaction.

Requirements:
· Bachelor’s degree in computer science, product management or relevant field.
· Previous experience as a QA engineer.
· Managerial experience preferred.
· High-level analytical skills.
· Advanced written and verbal communication skills in English.
· Critical thinker.
· Ability to project manage.
· Proficient in MS Office software.
· Detail oriented.

Senior QA Engineer Responsibilities:
· Meeting with the product managers and designers to determine quality assurance parameters.
· Leading the QA team in designing QA test procedures.
· Determining what, when, how and by whom will be tested.
· Overseeing the drafting of testing documents and ensuring all functionality is covered by the tests.
· Implementing testing procedures and overseeing the QA process.
· Creating test plans for sprints, test strategy for the entire product and regression package for regression testing.
· Troubleshooting quality issues and modifying test procedures.
· Conducting analysis checks on product specifications.
· Reviewing Quality Assurance reports and metrics to ensure proper process is followed, bugs found and regression testing time.
· Implementing automation.
· Determining sprint commitments based on testing estimates.
· Ensuring high quality and the successful deployment of our product.