A technology start-up focused on solving the increasing data challenges created by the continued growth of private markets, private equity, venture capital, real estate, and others, is looking for a talented QA Squad Lead to join and manage a dynamic Quality Assurance squad. As the Lead QA Engineer, you will play a crucial role in project planning, defining testing strategies, and overseeing the execution of testing activities.
Collaborate with cross-functional teams to analyze and discuss requirements, ensuring a unified approach to quality.
Estimate complexity and assign sub-tasks to squad members, effectively managing resources.
Report progress on key milestones, providing regular updates to product leads and the head of QA.
Analyze bugs and errors found during testing, documenting results for the software development team.
Recommend improvements to enhance user experience and conduct quality assurance against pre-defined specifications.
Act as the escalation point for complex product issues, actively participating in issue resolution.
Track key performance indicators for the team, ensuring testing efficiency and the delivery of high-quality software.
3+ years of hands-on QA experience, including some experience in a lead QA role.
Proficiency in computer technology and understanding of automation processes.
Strong understanding of backend and frontend systems, such as Java, Angular, SQL, JSON, and Rest API.
Proficient knowledge of software QA methodologies, tools, and processes, including Postman and Shell.
Experience working in an Agile/Scrum development framework.
Familiarity with test case management tools, such as TestRail.
Analytical and problem-solving skills with a keen attention to detail.
Excellent oral and written communication skills.
Ability to work efficiently in a team environment and delegate appropriate tasks to squad members.
You will have the opportunity to contribute to cutting-edge technology solutions. You will be part of a team that utilizes artificial intelligence and machine learning techniques to automate the extraction of critical data from unstructured and semi-structured documents, simplifying workflows for private market participants.