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QA Automation Team Lead
1 year ago
Description
Playtika’s Marketing Technologies department is looking for the next QA Automation Team Lead to join us!
Marketing development group is responsible for end-to-end data driven digital studio solutions for Marketing department. The system we develop provides data analytics, campaign management and AI toolsets for the users and management.
Responsibilities
- Prioritizes testing activities
- Create test plans
- Manage Senior-level QA team (Automation and Manual)
- Implement QA methodology across several teams to increase efficiency
- Manage the ALM of the group from the quality and CI/CD aspects
- Acts as a gatekeeper for quality issues in production and development environments
- Serve as the QA professional expert
- Involve in all planning phases
- Impact business growth and organizational KPIs
- Define Quality Gates for products
- Align quality processes with business requirements along with PMs and users representatives
Requirements
Automation experience:
- 5+ years of experience as an AQA/SDET
- 1+ years team leader experience
- Hands-on experience in writing UI, API E2E, functional, integration tests
- Microservices testing experience
- Hands-on experience with SQL
- Projects management skills
Tech:
- Good Python / TypeScript knowledge
- VCS knowledge: GIT
- RDBS experience (Postgres, MySQL, etc)
Frameworks:
PyTest,Pandas,Docker,Playwright,Kubernetes,Selenium / Selene,Selenium grid / SelenoidI/CD tools,Jenkins,Teamcity
Nice to have:
Reporting tools (ReportPortal, Allure)
Big data testing experience (Spark, Hadoop)
Professional Experience & Competencies:
- Advanced knowledge in a specific domain; High proficiency using relevant domain tools
- Serve as a professional advisor in corresponding units
- Advanced knowledge of the different testing phases and approaches, including functional, regression, integration, and end-to-end
- Advanced knowledge of testing tools, both commercial and open-source
- Advanced Knowledge of agile methodologies
- Advanced Knowledge of R&D Practices (such as CI/CD)
- Advanced Knowledge of software testing in an agile culture
- Advanced Knowledge of software testing methodologies for both progression and regression
- Advanced knowledge of test automation tools, DBs, sniffers, and scripting languages
- Strong ability to find, report and track bugs during development and testing lifecycle as well as corner cases and tends to challenge development teams on the level of their code quality
- Strong ability to solve, manage and prevent problems in Data & Marketing domains
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