Position: Senior Manual QA (Data and SQL) #9038
Company: Lohika
Experience required: 3y
English level: intermediate

It is up to ten times faster and far more effective than last generation products because it uses new sensor technology and artificial intelligence. Unlike traditional metal detectors, it’s powered by AI Software Platform enabling the system to spot weapons while ignoring harmless personal items. It keeps high volume entrances flowing by reliably detecting guns and other weapons as visitors walk through at a natural pace while carrying their phones and bags.
 
We are looking for a Senior Quality Assurance Engineer to test our systems, make them more robust, and help make a difference in the world. Our products are real-time systems and include personnel scanners, sensory devices, video analytics, web applications, tablet GUIs and IoT connectivity to our portal and cloud platform.

Responsibilities
Track, assess, and report product quality per approved methods, as well as provide coverage analysis using QA tracking tools such as TestRail and others
Put extra focus on data correctness, test data routing per provided algorithms
Perform manual testing (some Gray Box) while identifying and communicating defects and risks
Create and execute functional, system, and regression test cases and scenarios based on requirements
Conduct bug reviews with our development team, product management and business users
Define, maintain, and organize input and output data to support test cases and scenarios
Troubleshoot and isolate root causes for issues found when possible
Propose process improvements and tools to improve overall quality and efficiency
Blend in our clients engineering culture
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Requirements (required)
University degree in Computer Related Sciences or equivalent working experience 
4+ years of software testing experience
Knowledge of QA methodologies and processes (Agile)
Strong SQL knowledge
Integration testing experience (REST)
Passion for efficiency and getting things done
At least intermediate level of English
Requirements (optional)
Previous experience in analytics, working with big amount of data, familiarity with Big Data/ETL tools
Basic coding skills or willingness to automate routine things