How much do remote developers in Nepal expect to make? $40,700 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 Nepal are amongst the lowest for Asia. Below are some things to consider when hiring developers based in this location or building your next engineering hub.
Use the dropdown to compare software engineer salaries in Nepal with another location.
NepalWork 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 Nepal are calculated using self-reported data from remote developers based in Nepal, 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.)
**Senior Mobile Engineer** with expertise in **Android** and **Flutter** development, specializing in high-performance, scalable applications. Proficient in **Kotlin**, **Java**, and **Dart**, with a strong background in clean architecture **(MVVM/MVI),** **Jetpack Compose, RESTful APIs, Firebase**, and **CI/CD**. Experienced in asynchronous programming with Kotlin coroutines and Flutter's async/await. Adept in rigorous unit and integration testing. Passionate about research and innovation in emerging technologies.
Senior data & AI engineer with 9+ years building and operating scalable, low-latency data platforms processing 15TB+ and hundreds of millions of events daily across AWS, GCP, and Azure. Open-source-first — Kafka, Spark, Apache Iceberg, Trino, dbt, and Airflow on Kubernetes — across ingestion, transformation, and BI/reverse-ETL consumption, with the governance, observability, and reliability (SLOs, 99.9% uptime) production data products demand. Also delivers production AI/agentic systems (LangChain, CrewAI, Google-ADK, RAG) and administers the databases behind them — PostgreSQL, MongoDB, Cassandra/ScyllaDB, Redis, MySQL, ClickHouse (HA, backup/DR, tuning, security). Track record: 40% lower cost, 50% faster processing, 60% faster analytics deliver
I'm a Senior Full-Stack & Cloud Engineer with 8+ years of experience specializing in production AI on AWS, using TypeScript, Node.js, Python, and React. I architected a Retrieval-Augmented Generation (RAG) platform on AWS Bedrock from scratch, powering live copilots and agentic workflows for enterprise events. I engineered a cross-region failover that cut throttling failures by ~68% under peak load, and drove a ~40% AWS cost reduction through serverless architecture and Infrastructure as Code. I've delivered solutions across live-events, fintech, e-commerce, and logistics, working fully remote across timezones. I own systems end to end — from cloud infrastructure to polished frontend — and move fast without sacrificing reliability.
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