Sr. QA Engineer

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About the Job

ketteQ is a supply chain planning and automation platform. We are looking for extremely strong and experienced Sr. QA Engineers to build next generation supply chain planning, analytics and solutions. This job comes with a very attractive compensation package, work-from-home and flex-time benefits. You will get to work on projects for large global brands with a highly experienced team based in US and India. If you are high-energy, motivated, and initiative-taking individual then this could be a fantastic opportunity for you. Candidates must meet the following requirements:

Duties & Responsibilities

  • Understand product design specifications and provide feedback on design changes
  • Create detailed test plans and test cases
  • Execute test plans and identify and document all problems detected
  • Drive issues and problems to resolution
  • Work with engineering group advising on unit testing and making recommendations regarding defect priorities
  • Develop, define and continually improve testing procedures
  • Automate tests to facilitate regression testing
  • Answer product related queries from on-site client service teams and client support organization
  • Support implementations as a subject matter expert


  • Minimum 5 years of experience in quality assurance or technical product management for web-based supply chain planning software products
  • A good understanding of supply chain planning is a MUST
  • Excellent analytical skills including strong statistical and mathematical background
  • Excellent verbal and written communication skills and ability to communicate effectively with both highly technical and non-technical personnel
  • Ability to work effectively in a dynamic startup environment

Experience with following tools/technologies is required:

  • MSOffice– High excel proficiency required  
  • Databases like PostgreSQL
  • SQL queries
  • Performance and Regression testing tool
  • Unix operating system


  • Bachelor’s degree in Engineering, Computer Science, or Mathematics/Statistics.
  • Preference will be given to candidates with Masters in Industrial Engineering, OperationsResearch, and Mathematics/Statistics
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