Student Assistant - Software Developer
Perun is an off-chain state-channel framework for real-time payments, complex business logic, scalability, security, and interoperability between blockchains. It serves blockchain developers, businesses, IoT deployments, gaming applications, and use cases involving micropayments or cross-chain swaps.
Maintainer signals as of 9/25/2026
About Perun
Perun develops off-chain state-channel technology that enables fast, secure, scalable, and private blockchain transactions. Its offerings include the Perun SDK for custom integrations, Perun-X for decentralized cross-chain atomic swaps, and Perun Node for supporting multiple users or devices through one instance. The framework supports applications such as micropayment networks, blockchain gaming, decentralized identity payments, IoT transactions, and AI agent-to-agent payments.
Skills
About the Role
You will help build next-generation blockchain scaling technology by developing features for go-perun and components for Erdstall. You will engage with the developer community, contribute to open-source projects, work on industry partner projects, and apply good engineering practices including testing, CI and code reviews. The role is part-time with flexible hours and a possibility of working from home.
Requirements
- Programming experience
- Independent working attitude
- Good knowledge of English
- Practical skills in Ethereum (optional)
- Confidence in cryptography (optional)
- Strong interest in blockchain technologies
Responsibilities
- Build features for go-perun
- Implement components for Erdstall
- Develop blockchain scaling solutions
- Engage with the developer community
- Contribute to open-source projects
- Follow good engineering practices including testing, CI and code reviews
- Collaborate with industry partners on projects
- Commit to 10–20 hours per week
Benefits
- 10–20 hours per week
- Flexible working hours
- Home office possibility
- Participation in open-source projects
- Networking with leading figures in the cryptocurrency space