שכר QA Engineer – Backend Infrastructure (1-year fixed term contract) בIsrael


₪22,850 / שנתי
מבוסס על 3 משרות
Salaries are calculated as the average of salary ranges published in job listings. Data is aggregated monthly by job position.

מינימום
₪17,138
שכר ממוצע
₪22,850
מקסימום
₪28,563

נתוני שכר עודכנו: October 2026

שכר QA Engineer – Backend Infrastructure (1-year fixed term contract) בIsrael

  • QA Engineer – Backend Infrastructure

    Found at: Sourcestack Israel - 2 weeks ago


    Haifa, Israel Philips Full-time ₪17,138 - ₪28,563 Temporary

    Job TitleQA Engineer – Backend Infrastructure (1-year fixed term contract)Job DescriptionQA Engineer – Backend...

  • Senior Manufacturing Quality Engineer

    Found at: Fantastic ATS - 1 day ago


    Yoqneam Illit, North District, Israel Medtronic Full-time

    Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate...

  • Senior Manufacturing Quality Engineer

    Found at: Sourcestack Israel - 6 hours ago


    Yoqneam Illit, North, Israel Medtronic Full-time

    Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate...

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FAQ - QA Engineer – Backend Infrastructure (1-year fixed term contract)

The average salary for QA Engineer – Backend Infrastructure (1-year fixed term contract) is USD22,851 per year in Israel. Salary estimates are based on 3 salaries shared anonymously with Trabajo.org by employees with the position of QA Engineer – Backend Infrastructure (1-year fixed term contract) in Israel.

The lowest salary of QA Engineer – Backend Infrastructure (1-year fixed term contract) per year in Israel is USD17,138

The highest salary for QA Engineer – Backend Infrastructure (1-year fixed term contract) per year in Israel is USD28,563

Data updated: October 2026

Methodology

Salary data is calculated from compensation ranges published in active job listings in Israel. Job postings that include salary information are analyzed to obtain minimum, average and maximum values by position. Data is updated monthly and reflects listings from the last 90 days. Sample size for this position: 3 job postings with salary.