Remote Software Engineer Salary in Indonesia
How much do remote developers in Indonesia expect to make? $50,146 per year on average (based on self-reported data).
This estimated average salary is based on the expected salaries of Arc Developers in that location. Remote software engineer salaries in Indonesia are around average for Asia. Below are some things to consider when hiring developers based in this location or building your next engineering hub.
Salary breakdown by expertise
Use the dropdown to compare software engineer salaries in Indonesia with another location.
Indonesia
SingaporeEnglish Proficiency in Indonesia
About software engineer salary in Indonesia
Work with great developers — who just happen to be outside your zip code.We built this tool to help you understand how much remote developers expect to be paid annually across different countries around the world. Software engineer salary in Indonesia are calculated using self-reported data from remote developers based in Indonesia, and may not be representative of local salaries.Learn More
The salary data is based on the expected salary of over 300,000 remote developers in Arc's network. Developers provide us with their expected salary after passing our comprehensive vetting process (click here to learn more about Arc’s vetting process).
In addition to software development experience, our research indicates two other major factors that affect salary expectations:
・Local rent and cost of living.
・English ability (in countries where English is not the primary language, developers with a good command of English can often charge a premium compared to local rates).
In addition to providing a base salary, organizations may offer remote developers a more comprehensive package when hired long-term. This package may include benefits such as health insurance, equipment stipends, cash bonuses for high performance, company equity, etc. (For more information on benefits frequently offered to remote developers, click here.)
Hire remote developers in Indonesia with Arc
Machine learning engineer who works on end-to-end pipeline from data collection, data cleaning, preprocessing, train the model, evaluate the model, and to deployment to production using pytorch. Beside machine learning/ artificial intelligence, I can do front-end development using React/Next, Vue/Nuxt, both using Typescript. And a bit of back-end using NodeJS (AdonisJS)
Software engineer with 8 years of experience building scalable systems and applications using Python, Kotlin, Java, and modern cloud such as AWS, GCP. Contributed to platforms serving over 1 million active users with 99.9% uptime and robust performance across enterprise brands like Burger King and Levi’s. Recognized as ‘Best Mentor’ for technical training programs and Python Data Analyst courses, achieving a 90% course completion rate.
Hi! I'm a data analyst with a strong foundation in digital marketing and a deep passion for data, technology, and AI. For the past few years, I've been diving into user engagement analytics, building dashboards, and turning numbers into strategic insights that help businesses grow. My work revolves around tracking and analyzing social media performance using tools like Sprinklr, Socialinsider, and Fanpage Karma — then visualizing that data through dashboards like Metabase and Data Studio to help teams make informed marketing decisions. I enjoy collaborating across teams, defining KPIs, and finding smart, data-driven solutions to real-world challenges. Recently, I've been exploring ways to automate analysis workflows using Python and LLMs to deliver faster, more intelligent recommendations for clients. I'm always curious, always learning, and always excited about the future of tech and data.
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