The Quality Assurance Engineer is expected to deliver high quality product testing and comprehensive support Workforce Optimizer Products. This position requires strong written and verbal communication skills. JIRA case notes must be kept up to date and accurately recorded: a defined problem statement, troubleshooting efforts, results and next steps with time-frames to be taken, along with actual time worked. He or she is expected to utilize outstanding customer service skills and techniques that promote customer satisfaction and retention. This position requires that technical skills and domain expertise be constantly updated to adhere to service level commitments, customer expectations, and the changing technology landscape
Requirements
-Bachelor’s degree in Computer Science or STEM (Science, Technology, Engineering, Math)
-With at least 2 years experience in testing large and complex enterprise web applications with focus on Manual testing
-Experience in testing software products in JAVA / J2EE and Web environment
-Excellent knowledge of Internet / Web technologies
-Team player with excellent oral and written communication skills
-Good working knowledge of Windows environment and SQL database
-Experience implementing API-level test cases is highly desirable
-Exposure to full life-cycle commercial product development environment
-FRESH GRADUATES ARE WELCOME TO APPLY
Benefits
- Hybrid Set Up (once a week RTO)
- Morning shift
- Leave Credits
- HMO & Dental Coverage
-Laptop and other equipment (provided)
Top Skills
What We Do
Workforce Optimizer develops, implements and support software solutions that allows enterprises to deploy and manage their workforce optimally. Unlike other approaches that rely on time-consuming manual processes or simplistic, rules-based software, Workforce Optimizer employs breakthrough AI and mathematical techniques that rapidly synthesize and process complex workforce factors to predict labour demand, automatically create optimized schedules, and dynamically redeploys the workforce in real-time based on unplanned events.
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