QA Automation Team Lead


About The Position

Sparks AB is looking for a QA Automation Team Lead!

We specialize in predicting global macro-economic trends happening around the world using sophisticated and proprietary artificial intelligence and big data. 

We are a well-funded company in the predictive analytics field working with top leading financial institutions.

Come join us and experience a young and vibrant environment, challenge yourself on daily basis and be a part of a fascinating world.


  • Promotes and develops proactive quality culture, actively communicates the importance of quality, and engages the organization.
  • Collecting and documenting project requirements, Reviewing and writing technical documentation.
  • Improve and continuously build the company’s automation infrastructure - hands on (Python) is mandatory!
  • Manage, coach, recruitment, mentor and train several QA automations engineers.
  • Coordinate technical product characteristics, connect the developers to build suitable products for the entire organization.
  • Initiate and coordinate testing activities.
  • Report to VP R&D, work closely with dev teams, product managers, Data Scientists, Data Analysts, Operation.
  • Remove impediments, provide status updates, escalate issues, and guide the team to resolution.
  • Define and implement modern quality assurance methodologies, setting and owning quality KPIs of various products in manual procedures.


  •  5 years of software testing experience, out of which at least 2 as a team leader.
  •  Ability to understand the system from different perspectives.
  • Ability to characterize a technical product while understanding future needs
  • Deep understanding of QA processes and methodologies, tools (Jira, TestRail or equivalent).
  •  Experience of Test Automation Framework development, building tests and environments and data pipelines.
  •  Experience in managing and leading several testers while still being hands on and in the details.
  • Both SQL and NoSQL advances experience
  • Experience with AWS – big advantage
  •  Experience with DS models testing – big advantage



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