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Information Technology 🏢 Full Time ⭐️ Verified

Entry-Level QA Tester - Paid Training Program

TechNova Solutions
Virginia Beach
Estimated Salary
USD 18 – USD 25
New
Live Update
6 September 2026
Deadline
6 Sep 2027

Job Description

Launch your tech career with our comprehensive paid training program for QA Testers! No prior experience required – we'll equip you with industry skills to become a quality assurance professional. Join our dynamic team in Virginia Beach and play a crucial role in delivering flawless digital experiences. Our 8-week paid training covers manual testing, automation basics, defect tracking, and agile methodologies. Upon completion, you'll transition to a full-time QA Tester role with competitive pay and growth opportunities. Work on cutting-edge projects while developing expertise in test planning, execution, and reporting. Benefit from mentorship from senior QA engineers and flexible scheduling options. Apply today to start your journey in software quality assurance!

Responsibilities

  • Execute manual and automated test cases to identify software defects
  • Document detailed test plans, procedures, and defect reports
  • Collaborate with development teams to troubleshoot and resolve issues
  • Participate in agile sprint cycles and test reviews
  • Analyze test results and provide actionable quality insights
  • Maintain and improve test automation scripts
  • Ensure product compliance with industry standards and client requirements

Qualifications

  • High school diploma or equivalent (technical degree preferred)
  • Strong attention to detail and analytical thinking skills
  • Basic computer literacy and willingness to learn new technologies
  • Effective written and verbal communication abilities
  • Ability to work independently and in team environments
  • Passion for problem-solving and quality assurance
  • Commitment to completing paid training program (8 weeks)

Required Skills

Manual Testing Test Case Creation Bug Reporting JIRA Selenium Agile Methodologies Regression Testing Defect Tracking

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