Software engineers design, develop, modify, document, test, implement, install and support software applications and systems. As Australian companies become more reliant on software, the competition for skilled software engineers has been intensifying.
There are currently 121,300 workers employed as software engineers or related functions, and 14.6% of them are female. They have an average age of 37 years old, and work an average of 38.4 hours per week, according to data from the Australia Government.
Based on Glassdoor's data, the national average salary for a software engineer is AU$83,968 on an annual basis.
This figure fluctuates depending on which city the software engineer is based in.
In Sydney, the average salary of a software engineer is AU$85,000, slightly higher than the national average.
In Melbourne, the average salary of a software engineer is AU$85,000 too.
In Brisbane, the average salary of a software engineer is AU$71,750.
Besides geographical difference, salaries may also be affected by these factors:
Seniority and job scope
The more senior and experienced the software engineer, the more salary he/she is able to command. Salary increase also happens when a software engineer progresses to a leadership role.
Industry
Some industries pay more than others. For example, a software engineer in the finance industry is likely to be paid more than a software engineer in the education industry, for the same job scope and seniority level.
Company’s funding level
Generally, a company that is better funded would be in a better position to provide higher salary.
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Specialty
According to LinkedIn, software engineers can be categorised into 6 areas. Salaries are determined by the demand and supply levels of software engineers in each area. At the moment, Machine Learning and Data Science Engineers are paid the most due to their high demand and short supply.
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1 | Front-End Engineers | Top Differentiating skills:
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2 | Embedded and Application Engineers | Top Differentiating skills:
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3 | Infrastructure and Cloud Computing Engineers | Top Differentiating skills:
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4 | Machine Learning and Data Science Engineers | Top Differentiating skills:
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5 | Mobile Engineers | Top Differentiating skills:
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6 | Test and Quality Assurance Engineers | Top Differentiating skills:
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