QA Engineer (Manual + Automation)
Role details
Job location
Tech stack
Job description
We are seeking two QA Engineers to support mission-critical web-based platforms in a fast-paced Agile environment. Why Join Us? Hybrid work model based in Jacksonville, FL Opportunity to work on enterprise-grade web applications Collaborative Agile culture focused on ownership and continuous improvement Exposure to financial services and the wealth management domain Role Overview As a QA Engineer, you will be responsible for executing both manual and automated testing strategies to ensure high-quality releases across sprint cycles. You will contribute to expanding automation coverage, strengthening regression suites, and enhancing overall QA processes. This role requires strong analytical thinking, hands-on automation expertise, and the ability to thrive in a deadline-driven Agile delivery environment. Key Responsibilities Execute manual and automated test cases aligned with QA standards and best practices Develop test plans, test cases, and test data for sprint deliverables Build strong functional knowledge of assigned web applications and modules Perform regression testing and expand automated regression coverage Identify, document, and track defects with detailed reproduction steps Collaborate with cross-functional Agile team members throughout sprint cycles Participate in sprint ceremonies, release planning, and retrospectives Use T-SQL to validate backend data accuracy and integrity Communicate test results, risks, and quality insights clearly to stakeholders
Requirements
4-5+ years of application testing experience using manual and automated approaches Experience testing web-based applications with modern automation tools/frameworks Strong understanding of Agile methodologies and sprint-based delivery Extensive hands-on experience with T-SQL for data validation Strong analytical and problem-solving skills Excellent written and verbal communication abilities Ability to work independently and within collaborative teams Preferred Qualifications Experience in wealth management or financial services environments Exposure to scalable automation frameworks and regression suite maintenance Strong interpersonal skills with the ability to explain technical findings clearly Education Bachelor's degree in Engineering, Computer Science, or a related field (or equivalent practical experience). If you are a hands-on QA professional who enjoys improving automation coverage and delivering high-quality releases in an Agile environment, we encourage you to apply. Ready to make an impact? Apply now and join us on our journey! Flexible work from home options available.