Pavel Eideland

Angestellt, Head of quality assurance department, Aplana Software

Moscow, Russische Föderation

Fähigkeiten und Kenntnisse

QA Management
HP QC
Project Management
Microsoft Project
Jira
Software QA
PMBOK
planning skills
analytical skills

Werdegang

Berufserfahrung von Pavel Eideland

  • Bis heute 10 Jahre und 2 Monate, seit Apr. 2014

    Head of quality assurance department

    Aplana Software

    Organization of the department, planning, strategy development of the department evaluation, recruiting all kind of QA employees (QA-engineer, SQE, QA-Automation, Load-testers), communication with our general partners, pre-sale activities: presentations, pilot-projects, etc.

  • 2 Jahre und 9 Monate, Juli 2011 - März 2014

    Deputy head of quality assurance department

    Aplana Software

    Project management (Functional and load testing of the big financial systems in the main), recruitment, communication with sales, HR and marketing departments, supervising on our project managers.

  • 2 Jahre, Juli 2009 - Juni 2011

    Project Manager

    Aplana Software

    Typically test project manager work: planning, creating test cases, test suites for functional testing, analysing buisness activity for developing good load-profile for load testing, making various reports about test progress and defects, organization of UAT, close collaboration with bank analysts and support.

  • 1 Jahr und 8 Monate, Nov. 2007 - Juni 2009

    Quality Assurance Specialist

    Aplana Software

    Doing functional testing (HP QC, IBM Rational), test automation (HP QTP, IBM Functional tester, Rational Robot), load testing (HP LoadRunner), test-cases development, creating reports about testing progress.

Ausbildung von Pavel Eideland

  • 4 Jahre und 11 Monate, Sep. 2003 - Juli 2008

    Biophysics

    Moscow Institute of Physics and Technology

    Investigations on the brain activity of neurocortex while stimulating eye with flashing pictures (bars, circles, crosses). Have been trying to understand how brain converts complex picture into more simple fragments and then recognizes them as familiar.

Sprachen

  • Russisch

    Muttersprache

  • Englisch

    Gut

  • Deutsch

    Grundlagen

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