QA Engineer Manual + Automation


  • BS/Master’s degree in Computer Science, Engineering, or a related field.
  • +2 years experience in developing automation frameworks.
  • +2 years experience in manual testing of a client application.
  • Experience in automating production systems with Python.
  • Experience with concurrency tools on SaaS products.
  • Experience building test automation frameworks for software products deployed on AWS(or one of the other leading cloud providers: Azure/GCP).
  • Strong background in SQL.
  • Experience working with modern software lifecycle tools: Git, CI/CD
  • Performing code reviews and mentoring team members on automation concepts and best practices.
  • Good knowledge of Linux.

Will be a plus

  • Experience with data-warehousing (Redshift, Snowflake,Athena, etc.) — Big Plus!

What we offer

  • An opportunity to make an impact on the industrial future and be part of disruptive and groundbreaking product
  • In-depth exposure to a modern cloud-scale distributed data warehouse
  • Competitive salary and benefits (including pension plans, insurance, benefits, and more)
  • IT equipment and tools to allow you to be productive


  • Take a key part in our R&D team.
  • Be a member of the front-end engineering team.
  • Take part in the definition of our R&D quality standards.
  • Design, build and maintain an end-to-end QA & automation process of a global high-scale SaaS product.
  • Lead the quality of features from end-to-end:○Join early planning stages.○Write test cases and test plans.
  • Manually verify the written plans, including exploratory testing.○Automate your plans.
  • Integrate with the CI/CD

About the project

Firebolt is a major shake-up to the cloud data warehouse industry. They have built the fastest, most scalable, and most hardware-efficient cloud data warehouse in the market. By far. The company has proven incredible market fit, turned the most data-forward companies from amazing design partners into paying customers, raised $37M in the recent round A, and is poised to grow quickly to help companies do with big data what they can’t with Snowflake, Redshift, and the rest.

Job Category: Manual QA QA Automation
Job Type: Full Time
Job Location: Remote

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