DevSecOps Engineer
₱883,839 (PHP)/yr
₱424.92 (PHP)/hr
₱37,917 (PHP)/yr
The average devsecops engineer gross salary in Malolos City, Philippines is ₱883,839 or an equivalent hourly rate of ₱425. This is 2% lower (-₱18,039) than the average devsecops engineer salary in Philippines. In addition, they earn an average bonus of ₱37,917. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Malolos City, Philippines. An entry level devsecops engineer (1-3 years of experience) earns an average salary of ₱626,659. On the other end, a senior level devsecops engineer (8+ years of experience) earns an average salary of ₱1,020,644.
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₱995,842 (PHP)
13 %
Based on our compensation data, the estimated salary potential for DevSecOps Engineer will increase 13 % over 5 years.
This chart displays the highest level of education for:
DevSecOps Engineer, the majority at 100% with bachelors.
Typical Field of Study: Computer Programming, Specific Applications
See how education can impact your salary- Secret Clearance - U.S. Government
- Top Secret Clearance - U.S. Government
- CompTIA Security+
The cost of living in Malolos City, Philippines is 2% less than the average cost of living in Philippines. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageMalolos [maˈlɔlɔs], officially the City of Malolos (Filipino: Lungsod ng Malolos; Kapampangan: Ciudad/Lakanbalen ning Malolos), is a component city and capital of the province of Bulacan, Philippines. According to the 2024 census, it has a population of 269,809 people. It is the capital city of the province of Bulacan as the seat of the provincial government. It was the site of the constitutional convention of 1898, known as the Malolos Convention, that led to the establishment of the First Ph
Sourced from WikipediaERI's compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.
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