QA Engineer (offline)

You will be responsible for testing the server-side Personalized Driver Assistance System, which is based on a microservices architecture and operated by machine learning algorithms. You will be required to ensure the quality of the system from an initial data science prototyping perspective.

ABOUT THE ROLE
Key responsibilities:
• Complex exploratory testing of the data science personalized machine learning solution for the automotive industry
• Deep analysis and evaluation of big data models, algorithms, and data processing logic
• Conduct testing activities for middle-sized feature scale
• Gather QA/test metrics and report to the QA Lead
• Co-operate with the Support Team on processing users’ feedback
• Test documentation development
• Test POC and product customizations
• As part of an Agile delivery team, work closely with development, design, and product management to coordinate work efforts
• Obtain and master knowledge in Java/Python, SQL/SQlite, Linux CLI, Hbase, PostgreSQL, Jenkins, and JSON.

ABOUT YOU
Qualifications & Experience:
• Relevant working experience in backend/frontend manual/automation testing
• Understanding of Big data technology trends
• Experience in creating test documentation (test cases, checklists, release notes)
• Excellent math skills
• Analytical mindset
• Quick thinking, high level of diligence and a proactive attitude
• Understanding of Agile development processes
• Upper-intermediate English level or above
• Skilled in technical reading and writing
• Strong sense of responsibility, accuracy and attention to detail
• Computer science degree or relevant experience
• Experience and practical usage of any programming language.